key: cord-0722505-0kgyc97m
authors: Zhai, Fei; Zhai, Yuxuan; Cong, Chuang; Song, Tingyan; Xiang, Rongwu; Feng, Tianyi; Liang, Zhengxuan; Zeng, Ya; Yang, Jing; Yang, Jie; Liang, Jiankun
title: Research Progress of Coronavirus Based on Bibliometric Analysis
date: 2020-05-26
journal: Int J Environ Res Public Health
DOI: 10.3390/ijerph17113766
sha: 8ca5c78ec5f501e6fce3871f35b880fbbad06c64
doc_id: 722505
cord_uid: 0kgyc97m

Background: COVID-19 has become one of the most serious global epidemics in the 21st Century. This study aims to explore the distribution of research capabilities of countries, institutions, and researchers, and the hotspots and frontiers of coronavirus research in the past two decades. In it, references for funding support of urgent projects and international cooperation among research institutions are provided. Method: the Web of Science core collection database was used to retrieve the documents related to coronavirus published from 2003 to 2020. Citespace.5.6.R2, VOSviewer1.6.12, and Excel 2016 were used for bibliometric analysis. Results: 11,036 documents were retrieved, of which China and the United States have contributed the most coronavirus studies, Hong Kong University being the top contributor. Regarding journals, the Journal of Virology has contributed the most, while in terms of researchers, Yuen Kwok Yung has made the most contributions. The proportion of documents published by international cooperation has been rising for decades. Vaccines for SARS-CoV-2 are under development, and clinical trials of several drugs are ongoing. Conclusions: international cooperation is an important way to accelerate research progress and achieve success. Developing corresponding vaccines and drugs are the current hotspots and research directions.

A coronavirus is a kind of single-strand RNA virus that has the largest genome. It exists widely in nature and only infects vertebrates. It was first isolated from chickens in 1937 [1] . The virus that led to the outbreak of pneumonia in Wuhan in December 2019 is the seventh human coronavirus (HCoV) that can infect humans, following HCoV-229E, HCoV-NL63, HCoV-OC43, HCoV-HKU1, severe acute respiratory syndrome coronavirus (SARS-CoV), and Middle East respiratory syndrome coronavirus (MERS-CoV). The International Committee on Taxonomy of Viruses (ICTV) named the virus SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2), and the World Health Organization (WHO) officially named the resultant pneumonia disease COVID-19 (Coronavirus Disease

Literature retrieval was conducted via the Web of Science Core Collection: Citation Indexes on 10 April 2020. Owing to the fact that most of the coronavirus research began with the SARS outbreak in 2003, the timespan was set as 2003-2020 ( Figure S1 ). The advanced search option was adopted, and the retrieval strategy was TS = (coronavirus or Middle-East-Respiratory-Syndrome or Severe-Acute-Respiratory-Syndrome or 2019-nCoV or COVID-19 or SARS-CoV-2). The language was restricted to English; the document type limited to article, letter, and review; and only "Science Citation Index Expanded (SCI-EXPANDED)-1900-present" was included.

CiteSpace5.6.R2 (Drexel University, Philadelphia, PA, USA), VOSviewer1.6.12 (Leiden University, Leiden, The Netherlands), and Excel2016 (Microsoft Corporation, Redmond, WA, USA) were used to carry out visual analysis of the publications. Excel was used to pre-process the data of the clustering table exported by CiteSpace and to draw the geographic density distribution maps. CiteSpace was then used to carry out the analysis of dual-map overlays of journals and keyword emergence, and VOSviewer used to analyze the co-citation network of authors, organizations, countries, and journals.

A total of 11,036 documents were retrieved, including 9459 articles (85.7%), 1173 reviews (10.6%), and 404 letters (3.7%); the growth trend of the annual publications is shown in Figure 1 [8] and MERS-Cov in 2015, respectively [9, 10] . This shows that SCI literature is usually largely published during the several years following an outbreak, and the proportion of letters is high in the same year. 

The category analysis results with CiteSpace are shown in Figure S2 . The size of a circle is in proportion to the amount of literature in the category, and the thickness of the lines is proportional to the relevance between different categories. The colors of the circles correspond to different years. The purple edge of a circle represents high betweenness centrality. According to the figure, Virology 

The category analysis results with CiteSpace are shown in Figure S2 . The size of a circle is in proportion to the amount of literature in the category, and the thickness of the lines is proportional to the relevance between different categories. The colors of the circles correspond to different years. The purple edge of a circle represents high betweenness centrality. According to the figure, Virology (2957, 30.3%), Infectious Diseases (1594, 16.4%), Immunology (1306, 13.4%), Microbiology (1182, 12.1%), Veterinary Sciences (1163, 11.9%), and Biochemistry & Molecular Biology (1004, 10.3%) were the top six research areas on the list of category analyses. Among all those disciplines, Biochemistry & Molecular Biology and Immunology show high betweenness centrality.

A dual map overlay of journals was used to analyze the dependence of the subject categories on coronavirus, and the results are shown in Figure 2 . Citations made by these source articles are shown as spline waves, which are primarily rendered in yellow, green, and cyan. Each spline curve starts from a citing journal in the base map on the left and points to a cited journal in the base map on the right. Labels near the launching areas indicate the corresponding disciplines in which citing articles were published [11, 12] . 

The category analysis results with CiteSpace are shown in Figure S2 . The size of a circle is in proportion to the amount of literature in the category, and the thickness of the lines is proportional to the relevance between different categories. The colors of the circles correspond to different years. The purple edge of a circle represents high betweenness centrality. According to the figure, Virology (2957, 30 A dual map overlay of journals was used to analyze the dependence of the subject categories on coronavirus, and the results are shown in Figure 2 . Citations made by these source articles are shown as spline waves, which are primarily rendered in yellow, green, and cyan. Each spline curve starts from a citing journal in the base map on the left and points to a cited journal in the base map on the right. Labels near the launching areas indicate the corresponding disciplines in which citing articles were published [11, 12] . 2 also shows that the journals containing coronavirus research are mainly distributed in three fields: virology (including molecular, biology, and immunology), infectious diseases (including medicine, medical, and clinical), and veterinary medicine. Many other disciplines are also involved, e.g., 2 also shows that the journals containing coronavirus research are mainly distributed in three fields: virology (including molecular, biology, and immunology), infectious diseases (including medicine, medical, and clinical), and veterinary medicine. Many other disciplines are also involved, e.g., chemistry, ecology, dentistry, dermatology, surgery, and ophthalmology. There are four main citing paths from top to bottom, two yellow paths (starting from veterinary science and virology), and two green paths (both starting from infectious disease). The top three paths (starting from veterinary science, virology, and infectious disease) are mainly citing the literature of molecular biology, biology, and genetics. The fourth path (starting from infectious disease) mainly cites the literature related to health care, nursing, and medicine. This shows that molecular biology, biology, and genetics are the basis of coronavirus research.

A collaboration network, shown as Figure 3 , was analyzed for 114 authors who reached thresholds of 25 publications and 300 citations. The size of a circle is in proportion to the number of publications of the author, the color of a circle corresponds to the publication year, and the thickness of the lines is proportional to the cooperation frequency.

The comprehensive weight of each author was evaluated using Excel with the parameters derived from the collaboration network. The formula of the comprehensive weight is comprehensive weight = weight of frequency + weight of citations + weight of h-index, 

According to the comprehensive weight ranking, the top 10 most productive authors are listed in Table 1 . Among them, five authors are from China, two from the USA, and one each from Germany, Saudi Arabia, and The Netherlands. The main research fields of the authors are microbiology, virology, immunology, infectious diseases, as well as biochemistry and molecular biology, among others. Figure 5 shows the geographical distribution of coronavirus publications worldwide. The retrieved documents were contributed by researchers from 129 countries/territories. Figure 5 shows the geographical distribution of coronavirus publications worldwide. The retrieved documents were contributed by researchers from 129 countries/territories. Table 3 shows the 22 countries/territories with a minimum contribution of 100 publications ranked by comprehensive weight. Among them, nine countries/territories are from Europe, eight from Asia; two from North America; and one each from South America, Africa, and Australia. They contributed 10,561 (95.7%) publications in total. The USA ranked first in productivity with a total of 3606 publications (32.7%), followed by China (n = 3139; 28.4%); both contributed much more than third-place Germany (n = 669; 6.1%). For two decades, countries around the world have carried out extensive international cooperation on coronavirus research. The USA (95), Germany (81), England (81), France (73), and China (70) were the countries with the most partnerships in the world. Figure  6 shows inter-country collaboration among the countries, with the thickness of the lines representing the frequency of collaboration and the node color the publishing year. With the outbreak of SARS in 2003, China, Canada, Taiwan, Hong Kong, and Singapore took the lead in the coronavirus study; South Korea, Saudi Arabia, Egypt, and other countries began to carry out extensive research on coronavirus after the impact of the MERS outbreak in 2012 [13] . Table 3 shows the 22 countries/territories with a minimum contribution of 100 publications ranked by comprehensive weight. Among them, nine countries/territories are from Europe, eight from Asia; two from North America; and one each from South America, Africa, and Australia. They contributed 10,561 (95.7%) publications in total. The USA ranked first in productivity with a total of 3606 publications (32.7%), followed by China (n = 3139; 28.4%); both contributed much more than third-place Germany (n = 669; 6.1%). For two decades, countries around the world have carried out extensive international cooperation on coronavirus research. The USA (95), Germany (81), England (81), France (73), and China (70) were the countries with the most partnerships in the world. Figure 6 shows inter-country collaboration among the countries, with the thickness of the lines representing the frequency of collaboration and the node color the publishing year. With the outbreak of SARS in 2003, China, Canada, Taiwan, Hong Kong, and Singapore took the lead in the coronavirus study; South Korea, Saudi Arabia, Egypt, and other countries began to carry out extensive research on coronavirus after the impact of the MERS outbreak in 2012 [13] .

Funds provide important financial support for scientific research. Moreover, 5559 funding agencies from 129 countries provided funding support for the retrieved documents. Table 4 lists the top 10 funding agencies with the highest output. Among them, four funding agencies are from the USA; three from China; and one each from the European Union, Japan, and Germany. These countries contributed 5849 (53.0%) documents. The top two most productive funding agencies were the U.S. Department of Health and Human Services (1737) and U.S. National Institutes of Health (1682). Funds provide important financial support for scientific research. Moreover, 5559 funding agencies from 129 countries provided funding support for the retrieved documents. Table 4 lists the top 10 funding agencies with the highest output. Among them, four funding agencies are from the USA; three from China; and one each from the European Union, Japan, and Germany. These countries contributed 5849 (53.0%) documents. The top two most productive funding agencies were the U.S. Department of Health and Human Services (1737) and U.S. National Institutes of Health (1682). 

Funding Agency Country Documents TC 

The retrieved documents were published in 1609 different journals, 93 having a minimum contribution of 20 documents and more than 200 citations (Figure 7 ). In the figure, the size of a circle is proportional to the number of documents published in the journal, the colors of circles represent different subject clusters, and a line represents a reference relationship. 

The retrieved documents were published in 1609 different journals, 93 having a minimum contribution of 20 documents and more than 200 citations (Figure 7) . In the figure, the size of a circle is proportional to the number of documents published in the journal, the colors of circles represent different subject clusters, and a line represents a reference relationship.

According to the subject categories of the cited literature, these journals can be divided into four clusters from the macroscopic view. Figure 7 presents a triangle shape, with three discipline clusters at the corners and one cluster in the center. The journals in the yellow area on the top, represented by the Journal of Biological Chemistry, relate to biochemistry, pharmaceutical chemistry, molecular biology, bioorganic, and other basic disciplines, i.e., the cited literature mainly from the top and middle areas of the triangle. The journals in the red area in the lower left-hand corner represented by Emerging Infectious Diseases are related to the field of infectious diseases, and the citations mainly come from the lower left-hand corner, center, and lower right-hand corner. The journals in the green area in the lower right-hand corner, represented by the Archives of Virology, relate to the field of virology, with references mainly from the lower right-hand corner, center, and lower left-hand corner. The journals in the center blue area are the comprehensive journals represented by the Journal of Virology, of which the citations come from all four parts of the triangle. Table S1 shows the top 20 journals in the field of coronavirus research ranked by comprehensive weight. They contributed 3452 (31.3%) publications in total. The Journal of Virology ranked first in productivity with a total of 826 (7.5%), followed by Emerging Infectious Diseases (306, 2.8%) and Virology (269, 2.4%). The New England Journal of Medicine and Lancet had the highest impact factors (IFs), 70.67 and 59.102, respectively, much higher than the IF value of the third place Proceedings of the National Academy of Sciences of the United States of America (9.58). In general, the higher the impact factor, the larger the citation per article. According to the subject categories of the cited literature, these journals can be divided into four clusters from the macroscopic view. Figure 7 presents a triangle shape, with three discipline clusters at the corners and one cluster in the center. The journals in the yellow area on the top, represented by the Journal of Biological Chemistry, relate to biochemistry, pharmaceutical chemistry, molecular biology, bioorganic, and other basic disciplines, i.e., the cited literature mainly from the top and middle areas of the triangle. The journals in the red area in the lower left-hand corner represented by Emerging Infectious Diseases are related to the field of infectious diseases, and the citations mainly come from the lower left-hand corner, center, and lower right-hand corner. The journals in the green area in the lower right-hand corner, represented by the Archives of Virology, relate to the field of virology, with references mainly from the lower right-hand corner, center, and lower left-hand corner. The journals in the center blue area are the comprehensive journals represented by the Journal of Virology, of which the citations come from all four parts of the triangle. Table S1 shows the top 20 journals in the field of coronavirus research ranked by comprehensive weight. They contributed 3452 (31.3%) publications in total. The Journal of Virology ranked first in productivity with a total of 826 (7.5%), followed by Emerging Infectious Diseases (306, 2.8%) and Virology (269, 2.4%). The New England Journal of Medicine and Lancet had the highest impact factors (IFs), 70.67 and 59.102, respectively, much higher than the IF value of the third place Proceedings of the National Academy of Sciences of the United States of America (9.58). In general, the higher the impact factor, the larger the citation per article. The literature of the yellow clusters is relatively scattered and is mainly related to the outbreak of MERS in Saudi Arabia and South Korea. It was confirmed that MERS-CoV came from infected camels by whole-genome alignment (WGA) [23] . According to clinical research, males, the elderly, and diabetics were susceptible to MERS-CoV [24] . Figure S4 shows the top 20 keywords with the strongest burst strength. The keyword bursts started in 2003, and were outbreak, severe acute respiratory syndrome, transmission dynamics, genome, and identification. This shows that in the early days of the SARS outbreak, the genome of SARS-CoV was determined for identification, and spreading dynamics analysis of SARS-CoV was carried out. With The literature of the red clusters mainly comes from the journals in veterinary science and animal science, including the natural host of coronaviruses, tracing of viruses, design of animal models, and so on. There is one kind of coronavirus, Porcine Epidemic Diarrhea Virus (PEDV), which has not been proved to infect humans. In the past two decades, three outbreaks caused by coronavirus have occurred among humans: two were naturally hosted by bats, and the other was intermediate hosted by dromedary camels [14] . Besides bats and camels, cattle, pigs, dogs, cats, chickens, rats, and other wild animals were also reported to be natural hosts [15, 16] .

The literature of the green clusters mainly comes from the journals in the fields of microbiology, virology, immunology, molecular biology, and genetics, including protein structure, invasion mechanism, variation of virus, and vaccine development. Researchers found that the key enzyme of coronavirus protein processing is the main protease of the virus, and the RNA virus has evolved unprecedented structural variation [17] . It was reported that coronavirus has two envelope proteins, S protein and M protein. S protein is the main antigen of receptor binding and cell fusion, while M protein participates in the bud and formation of the envelope and plays a key role in the assembly of the virus [18, 19] .

The literature of the blue clusters mainly comes from the fields of clinical medicine, ecsomatics, and infectious diseases, including the diagnosis of coronavirus, clinical symptoms, treatment, and epidemic spread. It was proved that PLx-RVP (PLx Multi-Code Respiratory Virus Panel) is a high-accuracy respiratory virus detection system based on experiments. Compared with traditional virus detection methods, it can significantly improve the detection accuracy of respiratory viruses [20] . Clinical data analysis showed that SARS coronavirus spread only by close contact, and the main symptoms were fever (100%), dry cough (100%), dyspnea (80%), and lung lesions (100%). These symptoms were accompanied with lactate dehydrogenase increasing (80%), lymphocytopenia (89%), aspartate transaminase increasing (78%) and creatinine kinase increasing (56%). The therapeutic drugs included Lopinavir/Ritonavir, Chloroquine, and Glycyrrhizin, among others [21, 22] .

The literature of the yellow clusters is relatively scattered and is mainly related to the outbreak of MERS in Saudi Arabia and South Korea. It was confirmed that MERS-CoV came from infected camels by whole-genome alignment (WGA) [23] . According to clinical research, males, the elderly, and diabetics were susceptible to MERS-CoV [24] . Figure S4 shows the top 20 keywords with the strongest burst strength. The keyword bursts started in 2003, and were outbreak, severe acute respiratory syndrome, transmission dynamics, genome, and identification. This shows that in the early days of the SARS outbreak, the genome of SARS-CoV was determined for identification, and spreading dynamics analysis of SARS-CoV was carried out. With the deepening of research, the keywords coronavirus main proteinase and angiotensin converting enzyme 2 that were related to virus structure and intrusion mechanism appeared. The keywords of MERS began to burst when the MERS epidemic broke out in Saudi Arabia and South Korea.

By 10 April 2020, 507 documents related to SARS-CoV-2 contributed by 56 countries/territories were published in the core collection of the Web of Science (WOS) (Figure 9 ). As shown in Figure 10 , seven countries had more than 20 publications, including China (263), the USA (102), United Kingdom (40), Italy (31), Germany (24), South Korea (21) , and Canada (20) , which together contributed 501 (98.8%) publications.

The evolutionary history and cross-species transmission of SARS-CoV-2 were analyzed by whole genome sequence. The results showed that the original host of SARS-CoV-2 may be bats [4, [25] [26] [27] . At present, in the absence of drugs specifically targeting SARS-CoV-2, social isolation measures (reducing aggregation, maintaining distance, wearing of masks, washing hands frequently, etc.) comprise effective preventive measures [28] [29] [30] , and rapid and accurate detection methods were developed [31, 32] . A variety of drugs, including Remdesivir, Favipiravir, chloroquine, hydroxychloroquine, Lopinavir/Ritonavir, are being tested in various countries [33] [34] [35] [36] . Vaccines for SARS-CoV-2 are also being developed and have achieved varied results [37, 38] . The evolutionary history and cross-species transmission of SARS-CoV-2 were analyzed by whole genome sequence. The results showed that the original host of SARS-CoV-2 may be bats [4, [25] [26] [27] . At present, in the absence of drugs specifically targeting SARS-CoV-2, social isolation measures (reducing aggregation, maintaining distance, wearing of masks, washing hands frequently, etc.) comprise effective preventive measures [28] [29] [30] , and rapid and accurate detection methods were The evolutionary history and cross-species transmission of SARS-CoV-2 were analyzed by whole genome sequence. The results showed that the original host of SARS-CoV-2 may be bats [4, [25] [26] [27] . At present, in the absence of drugs specifically targeting SARS-CoV-2, social isolation measures (reducing aggregation, maintaining distance, wearing of masks, washing hands frequently, etc.) comprise effective preventive measures [28] [29] [30] , and rapid and accurate detection methods were 

Next to the outbreak of SARS, coronaviruses have caused wide concern and a significant amount of related research has been carried out. Researchers from 129 countries/territories have engaged in research work on coronaviruses, implying that coronaviruses have become a worldwide public health concern. The USA was the most productive country, which is not surprising since it has the largest number of scientific research institutions with significant research capacity, the largest number of P3 (Protection level 3) and P4 (Protection level 4) biosafety laboratories, the largest investment in scientific research funds, and the most extensive international scientific research cooperation in the world. Following the United States, China has also played a leading role in the field of coronavirus research, especially for SARS-CoV-2. This is related to the initial outbreak and isolation of the virus in China, which has a large number of scientific research institutions and a large amount of research funds.

This study shows that the proportion of documents published through international cooperation has been increasing for decades (Table S2) . For the top 20 most productive countries, 30.6% of their publications had international cooperation before 2000, 46.7% in 2002-2010, and 58.2% in the most recent decade. Among these countries, 65% had a cooperation rate exceeding 50%, of which Egypt (94.5%) and The Netherlands (85.8%) had the largest proportion. This shows that international cooperation has become more important in coronavirus research.

The six documents cited over 1000 times were from the New England Journal of Medicine (70.67), Lancet (59.102), and Science (41.037), all of which are journals with higher IFs. Literature based on bibliometric analysis shows that, in general, IF is proportional to citation frequency [39] .

Since the outbreak of COVID-19, more than 200 countries and regions have been affected in just three months. Research institutions around the world have carried out numerous coronavirus studies with respect to the tracing, structure, invasion mechanism, spreading, detection, prevention, and treatment of the virus. Although some progress has been achieved, more studies are needed to provide a basis for vaccine development and drug screening. There is no ultimate weapon to fight against a coronavirus except for a vaccine [40, 41] .

There are several limitations in our research. First, to obtain high-quality literature, the WOS Core Collection: Citation Indexes Database was used as the data source, the language limited to English, and document types limited to article, letter, and review, which leads a significant amount of coronavirus literature being excluded. Second, SARS-CoV-2 is a 3-month-old novel coronavirus, and the literature about it is emerging explosively. Therefore, the latest documents published after 10 April 2020, cannot be used and this may affect the results. Third, this study regards the contribution of multiple authors of a document as the same, which also leads to biased results in terms of the rank of countries, institutions, and authors.

Based on the Web of Science Core Collection, the literature on coronavirus research from 2003 to 2020 was analyzed using bibliometric methods. The number of publications on coronavirus research showed two clear peaks in the past two decades, one for SARS and the other for MERS. Owing to the global outbreak of COVID-19, a new peak of coronavirus research will appear in 2020. According to the results of the analysis, international cooperation is an important way to achieve success. The research institutions are mainly from China, the USA, and The Netherlands, and the universities are the most active institutions in scientific research. More than half of the studies were funded. The number of published papers and h-indexes showed that the USA, China, and Germany are the main contributors of high-quality papers. Bibliometric analysis may provide references for funding support of much-needed projects and international cooperation among research institutions [42] . At present, as a novel coronavirus, SARS-CoV-2 is spreading rapidly around the world. In the absence of drugs specifically targeting it, prevention is the most effective mitigation strategy. Seeking effective targets for SARS-CoV-2 and developing corresponding vaccines and drugs are the current hotspots and research directions.

The following are available online at http://www.mdpi.com/1660-4601/17/11/3766/s1, Figure S1 : The trend of annual publications on the research of coronavirus during 1969-2020, Figure S2 : Co-occurring subject category network, Figure S3 : Partial co-authorship network of organizations, Figure S4 : Top 20 keywords with the strongest burst strength, Table S1 : Top 20 journals in the field of coronavirus, Table S2 

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This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license

The authors are grateful to Zhou Limin and Gu Kangfu from the University of California, San Diego for their suggestions and proofreading assistance.

The authors declare no conflict of interest.