Nan Yan
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Immunology top 0.5%
- interferon and immune responses
- Immune Response and Inflammation
- Immune Cell Function and Interaction
Papers in
- Immunology 47
- interferon and immune responses 41
- Virology 10
- HIV Research and Treatment 10
- Co-authors
- Judy LiebermanZhijian J. ChenNicole DobbsJianjun WuDerek M. DykxhoornAlan EngelmanKun YangYair Benita
- Journals
- The Journal of Experimental Medicine (7 papers)Nature Immunology (4 papers)Immunity (3 papers)The Journal of Immunology (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Nan Yan
71 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Virology 1.3k
- Immunology 4.0k
- Infectious Diseases 1.9k
- Molecular Biology 3.7k
- Cancer Research 692
Countries citing papers authored by Nan Yan
This map shows the geographic impact of Nan Yan'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 Nan Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Yan more than expected).
Fields of papers citing papers by Nan Yan
This network shows the impact of papers produced by Nan Yan. 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 Nan Yan. The network helps show where Nan Yan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nan Yan, 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 | 0 | |
| 2 | 2025 | 5 | |
| 3 | STING licensing of type I dendritic cells potentiates antitumor immunity Hit paper breakdown → | 2024 | 63 |
| 4 | 2024 | 0 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 38 | |
| 8 | 2022 | 48 | |
| 9 | 2022 | 6 | |
| 10 | 2020 | 248 | |
| 11 | 2019 | 19 | |
| 12 | 2019 | 233 | |
| 13 | 2017 | 30 | |
| 14 | 2017 | 20 | |
| 15 | 2015 | 81 | |
| 16 | Cyclic GMP-AMP Synthase Is an Innate Immune Sensor of HIV and Other Retroviruses Hit paper breakdown → | 2013 | 797 |
| 17 | 2010 | 4 | |
| 18 | 2009 | 1 | |
| 19 | Identification of Host Proteins Required for HIV Infection Through a Functional Genomic Screen Hit paper breakdown → | 2008 | 1149 |
| 20 | 2004 | 51 |
About Nan Yan
Nan Yan is a scholar working on Immunology, Virology, Infectious Diseases, Molecular Biology and Environmental Chemistry, having authored 74 papers that have together received 6.8k indexed citations. Recurring topics across this work include interferon and immune responses (41 papers), Viral Infections and Vectors (18 papers), Inflammasome and immune disorders (16 papers), HIV Research and Treatment (10 papers), RNA regulation and disease (10 papers), Mosquito-borne diseases and control (10 papers), RNA modifications and cancer (8 papers) and RNA Research and Splicing (7 papers). The work is most often cited by research in Virology (1.3k citations), Immunology (4.0k citations), Infectious Diseases (1.9k citations), Molecular Biology (3.7k citations) and Cancer Research (692 citations). Nan Yan has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Judy Lieberman, Zhijian J. Chen, Nicole Dobbs, Jianjun Wu, Derek M. Dykxhoorn, Alan Engelman, Kun Yang, Yair Benita, Ramnik J. Xavier and Abraham L. Brass. Their work appears in journals such as The Journal of Experimental Medicine, Nature Immunology, Immunity, The Journal of Immunology and Proceedings of the National Academy of Sciences.
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.