Wenjie Tan
- Infectious Diseases top 0.01%
- SARS-CoV-2 and COVID-19 Research 70
- Viral gastroenteritis research and epidemiology 42
- COVID-19 Clinical Research Studies 20
- Modeling and Simulation top 0.05%
- Neurology top 0.1%
- General Dentistry top 0.2%
- Obstetrics and Gynecology top 0.2%
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- Animal Virus Infections Studies 35
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- Respiratory viral infections research 31
- Influenza Virus Research Studies 20
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- Poxvirus research and outbreaks 22
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- Immunotherapy and Immune Responses 21
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Wenjie Tan
187 papers receiving 31.3k citations
Hit Papers
Peers
Comparison fields: 5 of 215
- Infectious Diseases 20.5k
- Modeling and Simulation 2.6k
- Neurology 4.9k
- General Dentistry 584
- Obstetrics and Gynecology 1.4k
Countries citing papers authored by Wenjie Tan
This map shows the geographic impact of Wenjie Tan'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 Wenjie Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenjie Tan more than expected).
Fields of papers citing papers by Wenjie Tan
This network shows the impact of papers produced by Wenjie Tan. 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 Wenjie Tan. The network helps show where Wenjie Tan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wenjie Tan, 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 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 0 | |
| 9 | 2022 | 22 | |
| 10 | 2021 | 10 | |
| 11 | Scutellaria baicalensis extract and baicalein inhibit replication of SARS-CoV-2 and its 3C-like protease in vitrobreakdown → | 2021 | 228 |
| 12 | 2021 | 41 | |
| 13 | 2021 | 25 | |
| 14 | 2021 | 8 | |
| 15 | 2021 | 56 | |
| 16 | Both Boceprevir and GC376 efficaciously inhibit SARS-CoV-2 by targeting its main proteasebreakdown → | 2020 | 392 |
| 17 | 2020 | 164 | |
| 18 | 2020 | 9 | |
| 19 | 2018 | 39 | |
| 20 | [Studies on the chemical constituents of Ampelopsis humulifolia var. heterophylla (Thunb.) K. Koch]. | 2003 | 4 |
About Wenjie Tan
Wenjie Tan is a scholar working on Infectious Diseases, Virology and Animal Science and Zoology, having authored 197 papers that have together received 32.2k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (70 papers), Viral gastroenteritis research and epidemiology (42 papers), Animal Virus Infections Studies (35 papers), Respiratory viral infections research (31 papers), Poxvirus research and outbreaks (22 papers), Immunotherapy and Immune Responses (21 papers), Influenza Virus Research Studies (20 papers) and COVID-19 Clinical Research Studies (20 papers). The work is most often cited by research in Infectious Diseases (20.5k citations), Modeling and Simulation (2.6k citations) and Neurology (4.9k citations). Wenjie Tan has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Roujian Lu, Wen‐Ching Wang, Guizhen Wu, Baoying Huang, Peihua Niu, George F. Gao, Xuejun Ma, Na Zhu, Xiang Zhao and Jingdong Song. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
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.