A Ruhan
Impact in
- Virology top 10%
- Poxvirus research and outbreaks
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
Papers in
-
- SARS-CoV-2 and COVID-19 Research 9
- SARS-CoV-2 detection and testing 4
- COVID-19 Clinical Research Studies 3
- Virology 4
- Poxvirus research and outbreaks 4
- Co-authors
- Wenjie Tan (11 shared papers)Wenling Wang (7 shared papers)Baoying Huang (5 shared papers)Yao Liang Deng (3 shared papers)Ren Yang (2 shared papers)Wenhui Li (2 shared papers)Changcheng Wu (7 shared papers)Huijuan Wang (1 shared paper)
In The Last Decade
A Ruhan
28 papers receiving 503 citations
Peers
Comparison fields: 5 of 76
- Virology 79
- Infectious Diseases 243
- Animal Science and Zoology 62
- Modeling and Simulation 18
- Immunology 77
Countries citing papers authored by A Ruhan
This map shows the geographic impact of A Ruhan'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 A Ruhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Ruhan more than expected).
Fields of papers citing papers by A Ruhan
This network shows the impact of papers produced by A Ruhan. 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 A Ruhan. The network helps show where A Ruhan may publish in the future.
Co-authors
The 25 scholars most cited alongside A Ruhan, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 114 | |
| 2 | 2022 | 68 | |
| 3 | 2022 | 67 | |
| 4 | 2020 | 58 | |
| 5 | 2015 | 25 | |
| 6 | 2020 | 24 | |
| 7 | 2020 | 23 | |
| 8 | 2021 | 22 | |
| 9 | 2015 | 19 | |
| 10 | 2022 | 12 | |
| 11 | 2023 | 12 | |
| 12 | 2019 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2023 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2025 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2022 | 4 |
About A Ruhan
A Ruhan is a scholar working on Infectious Diseases, Virology, Neurology, Molecular Biology and Immunology, having authored 32 papers that have together received 515 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), Prion Diseases and Protein Misfolding (5 papers), SARS-CoV-2 detection and testing (4 papers), Poxvirus research and outbreaks (4 papers), COVID-19 Clinical Research Studies (3 papers), Plant Virus Research Studies (3 papers), Immunotherapy and Immune Responses (3 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Virology (79 citations), Infectious Diseases (243 citations), Animal Science and Zoology (62 citations), Modeling and Simulation (18 citations) and Immunology (77 citations). A Ruhan has collaborated with scholars based in China, Taiwan and Czechia. Frequent co-authors include Wenjie Tan, Wenling Wang, Baoying Huang, Yao Liang Deng, Ren Yang, Wenhui Li, Changcheng Wu, Huijuan Wang, Jingdong Song and Wei Huang. Their work appears in journals such as China CDC Weekly, Biosafety and Health, Molecular Neurobiology, ACS Chemical Neuroscience and EBioMedicine.
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.