Nan Ring
Impact in
- Immunology top 5%
- Phagocytosis and Immune Regulation
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in ⓘ
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- Skin Diseases and Diabetes 2
- Dermatology and Skin Diseases 1
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- Phagocytosis and Immune Regulation 4
- Immune Cell Function and Interaction 2
- Complement system in diseases 1
- Co-authors
- Aaron M. Ring (5 shared papers)Irving L. Weissman (5 shared papers)Sydney Gordon (3 shared papers)Kipp Weiskopf (4 shared papers)Jonathan M. Tsai (2 shared papers)Roy L. Maute (2 shared papers)Kelly M. McKenna (2 shared papers)Benson M. George (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Science Translational Medicine (1 paper)Melanoma Research (1 paper)Journal of Investigative Dermatology (1 paper)Nature Immunology (1 paper)
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Nan Ring
12 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Immunology 782
- Oncology 464
- Hematology 58
- Radiology, Nuclear Medicine and Imaging 107
- Physiology 20
Countries citing papers authored by Nan Ring
This map shows the geographic impact of Nan Ring'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 Ring with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Ring more than expected).
Fields of papers citing papers by Nan Ring
This network shows the impact of papers produced by Nan Ring. 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 Ring. The network helps show where Nan Ring may publish in the future.
Co-authors
The 25 scholars most cited alongside Nan Ring, 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 | Engagement of MHC class I by the inhibitory receptor LILRB1 suppresses macrophages and is a target of cancer immunotherapy Hit paper breakdown → | 2017 | 428 |
| 2 | 2015 | 284 | |
| 3 | 2017 | 242 | |
| 4 | 2016 | 121 | |
| 5 | 2019 | 15 | |
| 6 | 2019 | 14 | |
| 7 | 2021 | 8 | |
| 8 | 2021 | 3 | |
| 9 | 2022 | 3 | |
| 10 | 2019 | 2 | |
| 11 | 2021 | 2 | |
| 12 | 2025 | 1 |
About Nan Ring
Nan Ring is a scholar working on Dermatology, Immunology, Periodontics, Oncology and Biotechnology, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Phagocytosis and Immune Regulation (4 papers), CAR-T cell therapy research (2 papers), Skin Diseases and Diabetes (2 papers), Immune Cell Function and Interaction (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Dermatology and Skin Diseases (1 paper), Complement system in diseases (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Immunology (782 citations), Oncology (464 citations), Hematology (58 citations), Radiology, Nuclear Medicine and Imaging (107 citations) and Physiology (20 citations). Nan Ring has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Aaron M. Ring, Irving L. Weissman, Sydney Gordon, Kipp Weiskopf, Jonathan M. Tsai, Roy L. Maute, Kelly M. McKenna, Benson M. George, Po Y. Ho and Robin Z. Cheng. Their work appears in journals such as Proceedings of the National Academy of Sciences, Science Translational Medicine, Melanoma Research, Journal of Investigative Dermatology and Nature Immunology.
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.