Xiaming Jiang
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
- Modeling and Simulation top 10%
Papers in
-
- Viral Infections and Vectors 4
- Viral Infections and Outbreaks Research 3
- COVID-19 Clinical Research Studies 2
- SARS-CoV-2 and COVID-19 Research 2
-
- Hepatitis C virus research 2
- Co-authors
- Gengfu Xiao (5 shared papers)Yuan Sun (3 shared papers)Yan Wu (3 shared papers)Leike Zhang (4 shared papers)Qingxing Wang (1 shared paper)Hao‐Long Zeng (1 shared paper)Yulan Zhang (1 shared paper)Hongbo Chen (1 shared paper)
In The Last Decade
Xiaming Jiang
10 papers receiving 659 citations
Xiaming Jiang's Hit Papers
Peers
Comparison fields: 5 of 98
- Infectious Diseases 358
- Modeling and Simulation 28
- Neurology 54
- Computational Theory and Mathematics 63
- Molecular Biology 209
Countries citing papers authored by Xiaming Jiang
This map shows the geographic impact of Xiaming Jiang'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 Xiaming Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaming Jiang more than expected).
Fields of papers citing papers by Xiaming Jiang
This network shows the impact of papers produced by Xiaming Jiang. 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 Xiaming Jiang. The network helps show where Xiaming Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaming Jiang, 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 | Calcium channel blocker amlodipine besylate therapy is associated with reduced case fatality rate of COVID-19 patients with hypertension Hit paper breakdown → | 2020 | 248 |
| 2 | 2020 | 172 | |
| 3 | 2021 | 70 | |
| 4 | 2021 | 65 | |
| 5 | 2020 | 50 | |
| 6 | 2020 | 27 | |
| 7 | 2021 | 24 | |
| 8 | 2024 | 6 | |
| 9 | 2023 | 3 | |
| 10 | 2025 | 1 |
About Xiaming Jiang
Xiaming Jiang is a scholar working on Infectious Diseases, Hepatology, Animal Science and Zoology, Cancer Research and Molecular Biology, having authored 10 papers that have together received 666 indexed citations. Recurring topics across this work include Viral Infections and Vectors (4 papers), Viral Infections and Outbreaks Research (3 papers), COVID-19 Clinical Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Hepatitis C virus research (2 papers), Heart rate and cardiovascular health (1 paper), Animal Virus Infections Studies (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Infectious Diseases (358 citations), Modeling and Simulation (28 citations), Neurology (54 citations), Computational Theory and Mathematics (63 citations) and Molecular Biology (209 citations). Xiaming Jiang has collaborated with scholars based in China, Hong Kong and France. Frequent co-authors include Gengfu Xiao, Yuan Sun, Yan Wu, Leike Zhang, Qingxing Wang, Hao‐Long Zeng, Yulan Zhang, Hongbo Chen, Hao Li and Runming Jin. Their work appears in journals such as Signal Transduction and Targeted Therapy, mBio, Antiviral Research, Cell chemical biology and Cell Discovery.
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.