A Ruhan
Impact in
- Virology top 10%
- Poxvirus research and outbreaks
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
Papers in
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- Prion Diseases and Protein Misfolding 5
-
- SARS-CoV-2 and COVID-19 Research 9
- SARS-CoV-2 detection and testing 5
- COVID-19 Clinical Research Studies 3
- Co-authors
- Wenjie Tan (9 shared papers)Wenling Wang (6 shared papers)Baoying Huang (5 shared papers)Yao Deng (3 shared papers)Ren Yang (2 shared papers)Wenhui Li (2 shared papers)Huijuan Wang (1 shared paper)Lei Xiu (2 shared papers)
In The Last Decade
A Ruhan
23 papers receiving 266 citations
Peers
Comparison fields: 5 of 71
- Virology 70
- Infectious Diseases 116
- Modeling and Simulation 15
- Animal Science and Zoology 22
- Epidemiology 66
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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 60 | |
| 2 | 2020 | 50 | |
| 3 | 2015 | 24 | |
| 4 | 2020 | 22 | |
| 5 | 2020 | 20 | |
| 6 | 2015 | 18 | |
| 7 | 2022 | 11 | |
| 8 | 2023 | 9 | |
| 9 | 2019 | 8 | |
| 10 | 2022 | 7 | |
| 11 | 2023 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2020 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2023 | 2 |
About A Ruhan
A Ruhan is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Neurology and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 269 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), SARS-CoV-2 detection and testing (5 papers), Prion Diseases and Protein Misfolding (5 papers), Poxvirus research and outbreaks (3 papers), COVID-19 Clinical Research Studies (3 papers), Neurological diseases and metabolism (3 papers), Nerve injury and regeneration (2 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Virology (70 citations), Infectious Diseases (116 citations), Modeling and Simulation (15 citations), Animal Science and Zoology (22 citations) and Epidemiology (66 citations). A Ruhan has collaborated with scholars based in China, Taiwan and Canada. Frequent co-authors include Wenjie Tan, Wenling Wang, Baoying Huang, Yao Deng, Ren Yang, Wenhui Li, Huijuan Wang, Lei Xiu, Changcheng Wu and Jingdong Song. Their work appears in journals such as China CDC Weekly, Molecular Neurobiology, ACS Chemical Neuroscience, Biosafety and Health and International Journal of Biological Macromolecules.
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.