Li Pan
Impact in
- Virology top 2%
- HIV Research and Treatment
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
Papers in
- Virology 8
- HIV Research and Treatment 8
- Immunology 13
- Immune Cell Function and Interaction 11
- Immunotherapy and Immune Responses 5
- T-cell and B-cell Immunology 5
- Co-authors
- Suresh Pallikkuth (12 shared papers)Savita G. Pahwa (11 shared papers)Stefano Rinaldi (9 shared papers)Lesley R. de Armas (8 shared papers)Jean-Philippe Goulet (2 shared papers)Mark J. Cameron (2 shared papers)François Lefebvre (2 shared papers)Rafick‐Pierre Sékaly (2 shared papers)
- Journals
- Aging (2 papers)AIDS (2 papers)Vaccine (1 paper)Mucosal Immunology (1 paper)eLife (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Li Pan
24 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 79
- Virology 363
- Immunology 672
- Infectious Diseases 213
- Emergency Medicine 65
- Epidemiology 176
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 280 | |
| 2 | 2011 | 244 | |
| 3 | 2012 | 178 | |
| 4 | 2018 | 46 | |
| 5 | 2020 | 43 | |
| 6 | 2017 | 40 | |
| 7 | 2019 | 38 | |
| 8 | 2021 | 32 | |
| 9 | 2019 | 31 | |
| 10 | 2017 | 31 | |
| 11 | 2019 | 29 | |
| 12 | 2014 | 26 | |
| 13 | 2021 | 22 | |
| 14 | 2021 | 18 | |
| 15 | 2018 | 17 | |
| 16 | 2019 | 16 | |
| 17 | 2018 | 12 | |
| 18 | 2021 | 8 | |
| 19 | 2024 | 6 | |
| 20 | 2010 | 4 |
About Li Pan
Li Pan is a scholar working on Virology, Immunology, Epidemiology, Infectious Diseases and Emergency Medicine, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), HIV Research and Treatment (8 papers), Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (5 papers), Influenza Virus Research Studies (4 papers), CRISPR and Genetic Engineering (2 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 (363 citations), Immunology (672 citations), Infectious Diseases (213 citations), Emergency Medicine (65 citations) and Epidemiology (176 citations). Li Pan has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Suresh Pallikkuth, Savita G. Pahwa, Stefano Rinaldi, Lesley R. de Armas, Jean-Philippe Goulet, Mark J. Cameron, François Lefebvre, Rafick‐Pierre Sékaly, Elias K. Haddad and Marina F. Caskey. Their work appears in journals such as Aging, AIDS, Vaccine, Mucosal Immunology and eLife.
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.