Sam X. Li
Impact in
- Virology top 5%
- HIV Research and Treatment
- Infectious Diseases top 10%
- HIV/AIDS Research and Interventions
- Clostridium difficile and Clostridium perfringens research
Papers in
- Virology 12
- HIV Research and Treatment 12
- Immunology 10
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 2
- interferon and immune responses 1
- Co-authors
- Mario L. Santiago (10 shared papers)Bradley S. Barrett (9 shared papers)Kejun Guo (6 shared papers)Brent E. Palmer (5 shared papers)Catherine Lozupone (5 shared papers)Kim J. Hasenkrug (4 shared papers)Thomas Campbell (4 shared papers)C. Preston Neff (3 shared papers)
- Journals
- PLoS Pathogens (2 papers)The Journal of Immunology (2 papers)Virology (2 papers)PLoS ONE (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Sam X. Li
15 papers receiving 421 citations
Peers
Comparison fields: 5 of 66
- Virology 168
- Infectious Diseases 157
- Immunology 172
- Biological Psychiatry 20
- Emergency Medicine 55
Countries citing papers authored by Sam X. Li
This map shows the geographic impact of Sam X. 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 Sam X. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam X. Li more than expected).
Fields of papers citing papers by Sam X. Li
This network shows the impact of papers produced by Sam X. 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 Sam X. Li. The network helps show where Sam X. Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Sam X. 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 | 2018 | 112 | |
| 2 | 2019 | 55 | |
| 3 | 2014 | 44 | |
| 4 | 2012 | 42 | |
| 5 | 2016 | 40 | |
| 6 | 2016 | 24 | |
| 7 | 2013 | 19 | |
| 8 | 2020 | 17 | |
| 9 | 2012 | 16 | |
| 10 | 2014 | 14 | |
| 11 | 2016 | 12 | |
| 12 | 2013 | 10 | |
| 13 | 2016 | 8 | |
| 14 | 2021 | 8 | |
| 15 | 2013 | 6 |
About Sam X. Li
Sam X. Li is a scholar working on Virology, Immunology, Molecular Biology, Infectious Diseases and Epidemiology, having authored 15 papers that have together received 427 indexed citations. Recurring topics across this work include HIV Research and Treatment (12 papers), T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers), Gut microbiota and health (5 papers), HIV/AIDS Research and Interventions (3 papers), Immunotherapy and Immune Responses (2 papers), interferon and immune responses (1 paper) and HIV-related health complications and treatments (1 paper). The work is most often cited by research in Virology (168 citations), Infectious Diseases (157 citations), Immunology (172 citations), Biological Psychiatry (20 citations) and Emergency Medicine (55 citations). Sam X. Li has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Mario L. Santiago, Bradley S. Barrett, Kejun Guo, Brent E. Palmer, Catherine Lozupone, Kim J. Hasenkrug, Thomas Campbell, C. Preston Neff, Abigail Armstrong and Jennifer M. Schneider. Their work appears in journals such as PLoS Pathogens, The Journal of Immunology, Virology, PLoS ONE and Scientific Reports.
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.