Lin‐Fa Wang
Impact in
- Infectious Diseases top 0.02%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral Infections and Outbreaks Research
- Animal Science and Zoology top 0.05%
- Animal Virus Infections Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 131
- Viral Infections and Outbreaks Research 29
- Epidemiology 204
- Virology and Viral Diseases 196
- Co-authors
- Bryan T. Eaton (41 shared papers)Gary S. Crameri (70 shared papers)Meng Yu (54 shared papers)Christopher C. Broder (46 shared papers)Danielle E. Anderson (45 shared papers)Peter Daszak (14 shared papers)Deborah Middleton (29 shared papers)Glenn A. Marsh (54 shared papers)
- Journals
- Journal of Virology (28 papers)Journal of General Virology (25 papers)PLoS ONE (24 papers)Emerging infectious diseases (22 papers)Archives of Virology (20 papers)
- Partner nations
- AustraliaSingaporeUnited States
In The Last Decade
Lin‐Fa Wang
502 papers receiving 37.6k citations
Lin‐Fa Wang's Hit Papers
Peers
Comparison fields: 5 of 199
- Infectious Diseases 15.5k
- Animal Science and Zoology 3.5k
- Epidemiology 10.8k
- Virology 663
- Public Health, Environmental and Occupational Health 5.1k
Countries citing papers authored by Lin‐Fa Wang
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
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-authors
The 25 scholars most cited alongside Lin‐Fa Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 526 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Bats Are Natural Reservoirs of SARS-Like Coronaviruses Hit paper breakdown → | 2005 | 1996 |
| 2 | Epidemiologic Features and Clinical Course of Patients Infected With SARS-CoV-2 in Singapore Hit paper breakdown → | 2020 | 1548 |
| 3 | SARS-CoV-2-specific T cell immunity in cases of COVID-19 and SARS, and uninfected controls Hit paper breakdown → | 2020 | 1533 |
| 4 | Isolation and characterization of a bat SARS-like coronavirus that uses the ACE2 receptor Hit paper breakdown → | 2013 | 1383 |
| 5 | Infectious disease in an era of global change Hit paper breakdown → | 2021 | 1302 |
| 6 | A SARS-CoV-2 surrogate virus neutralization test based on antibody-mediated blockage of ACE2–spike protein–protein interaction Hit paper breakdown → | 2020 | 958 |
| 7 | Discovery of a rich gene pool of bat SARS-related coronaviruses provides new insights into the origin of SARS coronavirus Hit paper breakdown → | 2017 | 691 |
| 8 | Early induction of functional SARS-CoV-2-specific T cells associates with rapid viral clearance and mild disease in COVID-19 patients Hit paper breakdown → | 2021 | 587 |
| 9 | Fatal swine acute diarrhoea syndrome caused by an HKU2-related coronavirus of bat origin Hit paper breakdown → | 2018 | 585 |
| 10 | Comparative Analysis of Bat Genomes Provides Insight into the Evolution of Flight and Immunity Hit paper breakdown → | 2012 | 492 |
| 11 | Taxonomy of the order Mononegavirales: update 2016 Hit paper breakdown → | 2016 | 436 |
| 12 | Ecological dynamics of emerging bat virus spillover Hit paper breakdown → | 2014 | 406 |
| 13 | 2005 | 399 | |
| 14 | 2005 | 375 | |
| 15 | 2006 | 345 | |
| 16 | Bat origin of human coronaviruses Hit paper breakdown → | 2015 | 345 |
| 17 | 2020 | 333 | |
| 18 | 2007 | 319 | |
| 19 | Assessing Viral Shedding and Infectivity of Tears in Coronavirus Disease 2019 (COVID-19) Patients Hit paper breakdown → | 2020 | 314 |
| 20 | ICTV Virus Taxonomy Profile: Pneumoviridae Hit paper breakdown → | 2017 | 308 |
About Lin‐Fa Wang
Lin‐Fa Wang is a scholar working on Infectious Diseases, Epidemiology, Animal Science and Zoology, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 526 papers that have together received 38.8k indexed citations. Recurring topics across this work include Virology and Viral Diseases (196 papers), SARS-CoV-2 and COVID-19 Research (131 papers), Animal Virus Infections Studies (52 papers), Zoonotic diseases and public health (51 papers), Bat Biology and Ecology Studies (42 papers), interferon and immune responses (33 papers), Viral Infections and Outbreaks Research (29 papers) and Mosquito-borne diseases and control (16 papers). The work is most often cited by research in Infectious Diseases (15.5k citations), Animal Science and Zoology (3.5k citations), Epidemiology (10.8k citations), Virology (663 citations) and Public Health, Environmental and Occupational Health (5.1k citations). Lin‐Fa Wang has collaborated with scholars based in Australia, Singapore and United States. Frequent co-authors include Bryan T. Eaton, Gary S. Crameri, Meng Yu, Christopher C. Broder, Danielle E. Anderson, Peter Daszak, Deborah Middleton, Glenn A. Marsh, Hume Ernest Field and Shuyi Y. Zhang. Their work appears in journals such as Journal of Virology, Journal of General Virology, PLoS ONE, Emerging infectious diseases and Archives of Virology.
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.