Peihan Wang
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Viral Infections and Outbreaks Research
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Viral Infections and Vectors 2
- Tuberculosis Research and Epidemiology 1
- Viral Infections and Outbreaks Research 1
- Otolaryngology and Infectious Diseases 1
- Co-authors
- Juan Li (2 shared papers)Yuhai Bi (3 shared papers)Weifeng Shi (3 shared papers)Jing Yang (2 shared papers)Xing Chen (1 shared paper)Hao Song (1 shared paper)Di Liu (1 shared paper)Edward C. Holmes (1 shared paper)
- Journals
- Journal of Global Health (2 papers)Infection and Drug Resistance (1 paper)Emerging Microbes & Infections (1 paper)Current Biology (1 paper)Microbiology Spectrum (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Peihan Wang
10 papers receiving 448 citations
Peihan Wang's Hit Papers
Peers
Comparison fields: 5 of 74
- Infectious Diseases 355
- Modeling and Simulation 76
- Animal Science and Zoology 120
- Virology 12
- Public Health, Environmental and Occupational Health 64
Countries citing papers authored by Peihan Wang
This map shows the geographic impact of Peihan 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 Peihan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peihan Wang more than expected).
Fields of papers citing papers by Peihan Wang
This network shows the impact of papers produced by Peihan 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 Peihan Wang. The network helps show where Peihan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Peihan 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 | A Novel Bat Coronavirus Closely Related to SARS-CoV-2 Contains Natural Insertions at the S1/S2 Cleavage Site of the Spike Protein Hit paper breakdown → | 2020 | 386 |
| 2 | 2020 | 28 | |
| 3 | 2022 | 15 | |
| 4 | 2022 | 8 | |
| 5 | 2023 | 5 | |
| 6 | 2024 | 5 | |
| 7 | 2020 | 5 | |
| 8 | 2023 | 3 | |
| 9 | 2025 | 3 | |
| 10 | 2025 | 1 | |
| 11 | 2025 | 0 | |
| 12 | 2025 | 0 | |
| 13 | 2023 | 0 | |
| 14 | 2025 | 0 |
About Peihan Wang
Peihan Wang is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Modeling and Simulation and Surgery, having authored 14 papers that have together received 459 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (2 papers), Viral Infections and Vectors (2 papers), Tuberculosis Research and Epidemiology (1 paper), Cancer Genomics and Diagnostics (1 paper), Berberine and alkaloids research (1 paper), Mycobacterium research and diagnosis (1 paper), Viral Infections and Outbreaks Research (1 paper) and Otolaryngology and Infectious Diseases (1 paper). The work is most often cited by research in Infectious Diseases (355 citations), Modeling and Simulation (76 citations), Animal Science and Zoology (120 citations), Virology (12 citations) and Public Health, Environmental and Occupational Health (64 citations). Peihan Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Juan Li, Yuhai Bi, Weifeng Shi, Jing Yang, Xing Chen, Hao Song, Di Liu, Edward C. Holmes, Tao Hu and Hong Zhou. Their work appears in journals such as Journal of Global Health, Infection and Drug Resistance, Emerging Microbes & Infections, Current Biology and Microbiology Spectrum.
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.