Jingyun Li
- Virology top 0.5%
- HIV Research and Treatment 83
- Infectious Diseases top 2%
- HIV/AIDS drug development and treatment 61
- HIV/AIDS Research and Interventions 29
- Epidemiology top 10%
- Cytomegalovirus and herpesvirus research 13
- Herpesvirus Infections and Treatments 7
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- Immune Cell Function and Interaction 6
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- Bacteriophages and microbial interactions 8
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- Blood groups and transfusion 4
- Journals
- Nature (1 paper)Journal of Clinical Investigation (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- ChinaUnited StatesBelarus
In The Last Decade
Jingyun Li
88 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 69
- Virology 814
- Infectious Diseases 724
- Epidemiology 301
- Immunology 176
- Hepatology 44
Countries citing papers authored by Jingyun Li
This map shows the geographic impact of Jingyun Li'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 Jingyun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingyun Li more than expected).
Fields of papers citing papers by Jingyun Li
This network shows the impact of papers produced by Jingyun Li. 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 Jingyun Li. The network helps show where Jingyun Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jingyun Li, 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 | 2025 | 7 | |
| 2 | 2021 | 9 | |
| 3 | 2020 | 4 | |
| 4 | 2019 | 10 | |
| 5 | 2019 | 3 | |
| 6 | 2017 | 12 | |
| 7 | 2016 | 134 | |
| 8 | 2016 | 6 | |
| 9 | 2015 | 17 | |
| 10 | 2015 | 14 | |
| 11 | 2015 | 25 | |
| 12 | 2013 | 31 | |
| 13 | Investigation of HIV-1 drug resistance prevalence in Guangxi from 2004 to 2005 | 2011 | 1 |
| 14 | 2011 | 9 | |
| 15 | Characterization of HIV antibody indeterminate status and impact factors on HIV tests. | 2010 | 1 |
| 16 | 2010 | 11 | |
| 17 | 2010 | 12 | |
| 18 | Clinical Evaluation of Rapid Diagnostic Kit for HIV Antibody | 2007 | 1 |
| 19 | 2006 | 5 | |
| 20 | Strutural Characterization and Phylogenetic Analysis of HIV-1 Genome of a Prevalent Subtype B′Strain in Central China | 2004 | 1 |
About Jingyun Li
Jingyun Li is a scholar working on Virology, Infectious Diseases and Epidemiology, having authored 90 papers that have together received 1.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (83 papers), HIV/AIDS drug development and treatment (61 papers), HIV/AIDS Research and Interventions (29 papers), Cytomegalovirus and herpesvirus research (13 papers), Bacteriophages and microbial interactions (8 papers), Herpesvirus Infections and Treatments (7 papers), Immune Cell Function and Interaction (6 papers) and Blood groups and transfusion (4 papers). The work is most often cited by research in Virology (814 citations), Infectious Diseases (724 citations) and Epidemiology (301 citations). Jingyun Li has collaborated with scholars based in China, United States and Belarus. Frequent co-authors include Yongjian Liu, Lin Li, Hanping Li, Zuoyi Bao, Daomin Zhuang, Siyang Liu, Liguo Zhang, Liang Cheng, Jianping Ma and Haisheng Yu. Their work appears in journals such as Nature, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.