Lin‐Fa Wang

52.9k total citations · 10 hit papers
456 papers, 26.4k citations indexed

About

Lin‐Fa Wang is a scholar working on Infectious Diseases, Epidemiology and Animal Science and Zoology. According to data from OpenAlex, Lin‐Fa Wang has authored 456 papers receiving a total of 26.4k indexed citations (citations by other indexed papers that have themselves been cited), including 306 papers in Infectious Diseases, 204 papers in Epidemiology and 75 papers in Animal Science and Zoology. Recurrent topics in Lin‐Fa Wang's work include Viral Infections and Vectors (194 papers), Virology and Viral Diseases (171 papers) and SARS-CoV-2 and COVID-19 Research (94 papers). Lin‐Fa Wang is often cited by papers focused on Viral Infections and Vectors (194 papers), Virology and Viral Diseases (171 papers) and SARS-CoV-2 and COVID-19 Research (94 papers). Lin‐Fa Wang collaborates with scholars based in Australia, Singapore and United States. Lin‐Fa Wang's co-authors include Bryan T. Eaton, Gary Crameri, Meng Yu, Zheng‐Li Shi, Christopher C. Broder, Peter Daszak, Danielle E. Anderson, Glenn A. Marsh, Deborah Middleton and Hume Field and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Lin‐Fa Wang

439 papers receiving 25.7k citations

Hit Papers

Bats Are Natural Reservoirs of SARS-Like Coronaviruses 2005 2026 2012 2019 2005 2020 2013 2021 2020 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lin‐Fa Wang Australia 78 18.6k 9.3k 4.0k 3.8k 3.4k 456 26.4k
Oliver G. Pybus United Kingdom 79 10.7k 0.6× 10.4k 1.1× 1.7k 0.4× 4.8k 1.3× 3.2k 1.0× 303 27.7k
Philippe Lemey Belgium 72 8.9k 0.5× 5.7k 0.6× 2.5k 0.6× 4.0k 1.1× 2.7k 0.8× 307 22.3k
Heinz Feldmann United States 96 25.2k 1.4× 10.5k 1.1× 1.5k 0.4× 2.8k 0.7× 3.4k 1.0× 487 30.3k
Peter Simmonds United Kingdom 102 15.0k 0.8× 17.8k 1.9× 4.5k 1.1× 4.1k 1.1× 2.0k 0.6× 529 38.6k
Christian Drosten Germany 91 39.8k 2.1× 6.4k 0.7× 6.0k 1.5× 7.4k 2.0× 4.8k 1.4× 419 53.2k
Marion Koopmans Netherlands 97 27.9k 1.5× 8.8k 1.0× 7.2k 1.8× 3.4k 0.9× 3.5k 1.0× 711 39.6k
Sergei L. Kosakovsky Pond United States 60 7.3k 0.4× 3.9k 0.4× 1.7k 0.4× 6.9k 1.8× 1.7k 0.5× 200 21.7k
Sherif R. Zaki United States 70 11.9k 0.6× 5.4k 0.6× 1.4k 0.3× 1.6k 0.4× 3.5k 1.0× 161 16.5k
Patrick C. Y. Woo Hong Kong 84 18.8k 1.0× 9.2k 1.0× 6.7k 1.7× 4.6k 1.2× 2.5k 0.7× 595 31.0k
Martin Beer Germany 69 11.2k 0.6× 5.9k 0.6× 3.2k 0.8× 1.7k 0.5× 1.8k 0.5× 673 20.6k

Countries citing papers authored by Lin‐Fa Wang

Since Specialization
Citations

This map shows the geographic impact of Lin‐Fa Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lin‐Fa Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin‐Fa Wang more than expected).

Fields of papers citing papers by Lin‐Fa Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lin‐Fa Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lin‐Fa Wang. The network helps show where Lin‐Fa Wang may publish in the future.

Co-authorship network of co-authors of Lin‐Fa Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Lin‐Fa Wang. A scholar is included among the top collaborators of Lin‐Fa Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lin‐Fa Wang. Lin‐Fa Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cai, Xiaoqing, Yu Liu, Yu Zhang, et al.. (2025). High-pressure Golgi-Cox neuronal staining for X-ray whole-brain imaging. 2(1). 100219–100219.
2.
Tang, Shihua, Jiahao Chen, Lin‐Fa Wang, et al.. (2025). Accurate, Scalable Structural Variant Genotyping in Complex Genomes at Population Scales. Molecular Biology and Evolution. 42(8).
4.
Cui, Shidong, Yang-Chi-Dung Lin, Yixian Huang, et al.. (2024). miRTarBase 2025: updates to the collection of experimentally validated microRNA–target interactions. Nucleic Acids Research. 53(D1). D147–D156. 44 indexed citations
5.
Wang, Lin‐Fa, Sharon R. Lewin, Nanshan Zhong, et al.. (2024). Pandemic research: the need for a paradigm shift. The Lancet Microbe. 6(4). 101048–101048. 2 indexed citations
6.
Lim, Xiao Fang, Justin H. J. Ng, Wan Ni Chia, et al.. (2023). Genomic Characterization of a Relative of Mumps Virus in Lesser Dawn Bats of Southeast Asia. Viruses. 15(3). 659–659. 1 indexed citations
7.
Selva, Kevin J., Ebene R. Haycroft, Arnold Reynaldi, et al.. (2023). Preexisting immunity restricts mucosal antibody recognition of SARS-CoV-2 and Fc profiles during breakthrough infections. JCI Insight. 8(18). 10 indexed citations
8.
Mantri, Chinmay Kumar, Chee Wah Tan, Wilfried A. A. Saron, et al.. (2023). Mucosal SARS-CoV-2 vaccination of rodents elicits superior systemic T central memory function and cross-neutralising antibodies against variants of concern. EBioMedicine. 99. 104924–104924. 6 indexed citations
9.
Mariën, Joachim, Johan Míchiels, Leo Heyndríckx, et al.. (2021). Evaluation of a surrogate virus neutralization test for high-throughput serosurveillance of SARS-CoV-2. Journal of Virological Methods. 297. 114228–114228. 28 indexed citations
10.
Chia, Wan Ni, Chee Wah Tan, Randy Foo, et al.. (2020). Serological differentiation between COVID-19 and SARS infections. Emerging Microbes & Infections. 9(1). 1497–1505. 70 indexed citations
11.
Peel, Alison J., Konstans Wells, J Giles, et al.. (2019). Synchronous shedding of multiple bat paramyxoviruses coincides with peak periods of Hendra virus spillover. Emerging Microbes & Infections. 8(1). 1314–1323. 47 indexed citations
12.
Yang, Xing‐Lou, Ben Hu, Bo Wang, et al.. (2015). Isolation and Characterization of a Novel Bat Coronavirus Closely Related to the Direct Progenitor of Severe Acute Respiratory Syndrome Coronavirus. Journal of Virology. 90(6). 3253–3256. 167 indexed citations
13.
Hayward, Joshua A., Mary Tachedjian, Jie Cui, et al.. (2013). Identification of diverse full-length endogenous betaretroviruses in megabats and microbats. Retrovirology. 10(1). 35–35. 37 indexed citations
14.
Breed, Andrew C., J. Meers, Indrawati Sendow, et al.. (2013). The Distribution of Henipaviruses in Southeast Asia and Australasia: Is Wallace’s Line a Barrier to Nipah Virus?. PLoS ONE. 8(4). e61316–e61316. 42 indexed citations
15.
Jiang, Yu, Lin‐Fa Wang, Zongji Lu, et al.. (2009). Seroprevalence of Rabies Virus Antibodies in Bats from Southern China. Vector-Borne and Zoonotic Diseases. 10(2). 177–181. 17 indexed citations
16.
Zhou, Peng, Zhenggang Han, Lin‐Fa Wang, & Zheng‐Li Shi. (2009). Immunogenicity difference between the SARS coronavirus and the bat SARS-like coronavirus spike (S) proteins. Biochemical and Biophysical Research Communications. 387(2). 326–329. 6 indexed citations
17.
Chua, Kaw Bing, Gary Crameri, Alex D. Hyatt, et al.. (2007). A previously unknown reovirus of bat origin is associated with an acute respiratory disease in humans. Proceedings of the National Academy of Sciences. 104(27). 11424–11429. 173 indexed citations
18.
Li, Wendong, Zheng‐Li Shi, Meng Yu, et al.. (2005). Bats Are Natural Reservoirs of SARS-Like Coronaviruses. Science. 310(5748). 676–679. 1780 indexed citations breakdown →
19.
Chua, Kaw Bing, Lin‐Fa Wang, SK Lam, & Bryan T. Eaton. (2002). Full length genome sequence of Tioman virus, a novel paramyxovirus in the genus Rubulavirus isolated from fruit bats in Malaysia. Archives of Virology. 147(7). 1323–1348. 37 indexed citations
20.
Vaughan, Paul, Lin‐Fa Wang, David J. Stewart, Glenn G. Lilley, & Alexander A. Kortt. (1994). Expression in Escherichia coli of the extracellular basic protease from Dichelobacter nodosus. Microbiology. 140(8). 2093–2100. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026