Lin‐Fa Wang
- Infectious Diseases top 0.01%
- Viral Infections and Vectors 194
- SARS-CoV-2 and COVID-19 Research 94
- Viral Infections and Outbreaks Research 53
- Viral gastroenteritis research and epidemiology 47
- Virology top 0.1%
- Rabies epidemiology and control 54
- Animal Science and Zoology top 0.02%
- Animal Virus Infections Studies 75
- Modeling and Simulation top 0.1%
- Epidemiology top 0.05%
- Virology and Viral Diseases 171
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- Vector-Borne Animal Diseases 37
- Co-authors
- Bryan T. EatonGary CrameriMeng YuZheng‐Li ShiChristopher C. BroderPeter DaszakDanielle E. AndersonGlenn A. Marsh
- Partner nations
- AustraliaSingaporeUnited States
In The Last Decade
Lin‐Fa Wang
439 papers receiving 25.7k citations
Hit Papers
Peers
Comparison fields: 5 of 198
- Infectious Diseases 18.6k
- Virology 2.7k
- Animal Science and Zoology 4.0k
- Modeling and Simulation 1.7k
- Epidemiology 9.3k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 44 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 19 | |
| 12 | 2023 | 6 | |
| 13 | 2022 | 4 | |
| 14 | 2021 | 24 | |
| 15 | 2021 | 34 | |
| 16 | 2020 | 70 | |
| 17 | 2019 | 25 | |
| 18 | 2017 | 24 | |
| 19 | 2007 | 173 | |
| 20 | Bats Are Natural Reservoirs of SARS-Like Coronavirusesbreakdown → | 2005 | 1780 |
About Lin‐Fa Wang
Lin‐Fa Wang is a scholar working on Infectious Diseases, Virology and Animal Science and Zoology, having authored 456 papers that have together received 26.4k indexed citations. Recurring topics across this work include Viral Infections and Vectors (194 papers), Virology and Viral Diseases (171 papers), SARS-CoV-2 and COVID-19 Research (94 papers), Animal Virus Infections Studies (75 papers), Rabies epidemiology and control (54 papers), Viral Infections and Outbreaks Research (53 papers), Viral gastroenteritis research and epidemiology (47 papers) and Vector-Borne Animal Diseases (37 papers). The work is most often cited by research in Infectious Diseases (18.6k citations), Virology (2.7k citations) and Animal Science and Zoology (4.0k citations). Lin‐Fa Wang has collaborated with scholars based in Australia, Singapore and United States. Frequent 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. Their work appears in journals such as Journal of Virology, Journal of General Virology, PLoS ONE, Emerging infectious diseases and Scientific Reports.
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.