Li Pan
Impact in
- Virology top 5%
- HIV Research and Treatment
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- interferon and immune responses
Papers in ⓘ
- Virology 8
- HIV Research and Treatment 8
- Immunology 12
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 4
- Co-authors
- Savita Pahwa (12 shared papers)Suresh Pallikkuth (12 shared papers)Stefano Rinaldi (9 shared papers)Lesley R. de Armas (8 shared papers)François Lefebvre (2 shared papers)Rafick‐Pierre Sékaly (2 shared papers)Mark J. Cameron (2 shared papers)Jean-Philippe Goulet (2 shared papers)
- Journals
- Aging (2 papers)AIDS (2 papers)Scientific Reports (1 paper)Current Pollution Reports (1 paper)Vaccine (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Li Pan
21 papers receiving 588 citations
Peers
Comparison fields: 5 of 75
- Virology 121
- Immunology 352
- Infectious Diseases 143
- Emergency Medicine 46
- Epidemiology 125
Countries citing papers authored by Li Pan
This map shows the geographic impact of Li Pan'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 Li Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Pan more than expected).
Fields of papers citing papers by Li Pan
This network shows the impact of papers produced by Li Pan. 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 Li Pan. The network helps show where Li Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Pan, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 222 | |
| 2 | 2018 | 38 | |
| 3 | 2017 | 38 | |
| 4 | 2019 | 37 | |
| 5 | 2020 | 32 | |
| 6 | 2017 | 30 | |
| 7 | 2021 | 29 | |
| 8 | 2019 | 28 | |
| 9 | 2019 | 27 | |
| 10 | 2021 | 22 | |
| 11 | 2014 | 20 | |
| 12 | 2019 | 16 | |
| 13 | 2021 | 15 | |
| 14 | 2018 | 14 | |
| 15 | 2018 | 12 | |
| 16 | 2021 | 7 | |
| 17 | 2024 | 4 | |
| 18 | 2010 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2025 | 2 |
About Li Pan
Li Pan is a scholar working on Virology, Immunology, Applied Microbiology and Biotechnology, Emergency Medicine and Epidemiology, having authored 22 papers that have together received 600 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), HIV Research and Treatment (8 papers), Influenza Virus Research Studies (4 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (4 papers), CRISPR and Genetic Engineering (3 papers), HIV/AIDS Research and Interventions (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Virology (121 citations), Immunology (352 citations), Infectious Diseases (143 citations), Emergency Medicine (46 citations) and Epidemiology (125 citations). Li Pan has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Savita Pahwa, Suresh Pallikkuth, Stefano Rinaldi, Lesley R. de Armas, François Lefebvre, Rafick‐Pierre Sékaly, Mark J. Cameron, Jean-Philippe Goulet, Marina Caskey and Elias K. Haddad. Their work appears in journals such as Aging, AIDS, Scientific Reports, Current Pollution Reports and Vaccine.
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.