Xiaomin Yan
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 10%
Papers in
-
- Viral Infections and Vectors 6
- SARS-CoV-2 and COVID-19 Research 4
- Viral gastroenteritis research and epidemiology 3
- COVID-19 Clinical Research Studies 2
-
- Hepatitis B Virus Studies 5
- Co-authors
- Rimas J. Orentas (1 shared paper)B Johnson (1 shared paper)Chao Wu (8 shared papers)Rui Huang (9 shared papers)Yuxin Chen (4 shared papers)Han Shen (1 shared paper)Shengxia Yin (3 shared papers)Aijun Huang (1 shared paper)
- Journals
- mSystems (3 papers)Antiviral Research (2 papers)Molecular Phylogenetics and Evolution (1 paper)Journal of Virology (1 paper)International Immunopharmacology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaomin Yan
26 papers receiving 471 citations
Peers
Comparison fields: 5 of 75
- Infectious Diseases 159
- Modeling and Simulation 25
- Urology 27
- Hepatology 25
- Cancer Research 45
Countries citing papers authored by Xiaomin Yan
This map shows the geographic impact of Xiaomin Yan'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 Xiaomin Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaomin Yan more than expected).
Fields of papers citing papers by Xiaomin Yan
This network shows the impact of papers produced by Xiaomin Yan. 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 Xiaomin Yan. The network helps show where Xiaomin Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaomin Yan, 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 | 2020 | 134 | |
| 2 | 2006 | 50 | |
| 3 | 2019 | 31 | |
| 4 | 2020 | 28 | |
| 5 | 2019 | 27 | |
| 6 | 2022 | 25 | |
| 7 | 2021 | 21 | |
| 8 | 2022 | 19 | |
| 9 | 2021 | 18 | |
| 10 | 2022 | 15 | |
| 11 | 2022 | 14 | |
| 12 | 2022 | 13 | |
| 13 | 2022 | 11 | |
| 14 | Increase of infiltrating monocytes in the livers of patients with chronic liver diseases. | 2016 | 10 |
| 15 | 2024 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2022 | 8 | |
| 18 | 2021 | 8 | |
| 19 | 2016 | 6 | |
| 20 | 2020 | 6 |
About Xiaomin Yan
Xiaomin Yan is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Cancer Research and Urology, having authored 26 papers that have together received 478 indexed citations. Recurring topics across this work include Viral Infections and Vectors (6 papers), Hepatitis B Virus Studies (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Viral gastroenteritis research and epidemiology (3 papers), RNA Research and Splicing (2 papers), Hair Growth and Disorders (2 papers), COVID-19 Clinical Research Studies (2 papers) and Bat Biology and Ecology Studies (2 papers). The work is most often cited by research in Infectious Diseases (159 citations), Modeling and Simulation (25 citations), Urology (27 citations), Hepatology (25 citations) and Cancer Research (45 citations). Xiaomin Yan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Rimas J. Orentas, B Johnson, Chao Wu, Rui Huang, Yuxin Chen, Han Shen, Shengxia Yin, Aijun Huang, Hailong Yang and Xin Tong. Their work appears in journals such as mSystems, Antiviral Research, Molecular Phylogenetics and Evolution, Journal of Virology and International Immunopharmacology.
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.