Yan Su
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immunology and Allergy top 5%
- Allergic Rhinitis and Sensitization
Papers in
- Immunology 21
- T-cell and B-cell Immunology 14
- Immune Cell Function and Interaction 13
- Immunotherapy and Immune Responses 6
- Co-authors
- David W. Scott (17 shared papers)Ai-Hong Zhang (7 shared papers)Jonathan Skupsky (5 shared papers)Tiechi Lei (3 shared papers)Robert J. Rossi (2 shared papers)Anne S. De Groot (5 shared papers)Kathleen P. Pratt (1 shared paper)Yong Chan Kim (1 shared paper)
- Journals
- Blood (3 papers)The Journal of Immunology (3 papers)Human Vaccines & Immunotherapeutics (3 papers)Journal of Allergy and Clinical Immunology (2 papers)Journal of General Virology (2 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Yan Su
43 papers receiving 972 citations
Peers
Comparison fields: 5 of 86
- Immunology 462
- Immunology and Allergy 96
- Hematology 146
- Oncology 204
- Genetics 131
Countries citing papers authored by Yan Su
This map shows the geographic impact of Yan Su'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 Yan Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Su more than expected).
Fields of papers citing papers by Yan Su
This network shows the impact of papers produced by Yan Su. 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 Yan Su. The network helps show where Yan Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Su, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 140 | |
| 2 | 2006 | 65 | |
| 3 | 2012 | 54 | |
| 4 | 2017 | 46 | |
| 5 | 2020 | 44 | |
| 6 | 2013 | 40 | |
| 7 | 2010 | 39 | |
| 8 | 2009 | 37 | |
| 9 | 2005 | 34 | |
| 10 | 2003 | 34 | |
| 11 | 2016 | 33 | |
| 12 | 2007 | 32 | |
| 13 | 2009 | 32 | |
| 14 | 2014 | 32 | |
| 15 | 2013 | 30 | |
| 16 | 2005 | 29 | |
| 17 | 2008 | 23 | |
| 18 | 2004 | 21 | |
| 19 | 2020 | 19 | |
| 20 | 2017 | 17 |
About Yan Su
Yan Su is a scholar working on Immunology, Molecular Biology, Epidemiology, Oncology and Immunology and Allergy, having authored 44 papers that have together received 987 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (14 papers), Immune Cell Function and Interaction (13 papers), Immunotherapy and Immune Responses (6 papers), Allergic Rhinitis and Sensitization (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), CAR-T cell therapy research (5 papers), Food Allergy and Anaphylaxis Research (5 papers) and Cytomegalovirus and herpesvirus research (5 papers). The work is most often cited by research in Immunology (462 citations), Immunology and Allergy (96 citations), Hematology (146 citations), Oncology (204 citations) and Genetics (131 citations). Yan Su has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include David W. Scott, Ai-Hong Zhang, Jonathan Skupsky, Tiechi Lei, Robert J. Rossi, Anne S. De Groot, Kathleen P. Pratt, Yong Chan Kim, Ethan M. Shevach and Ruth A. Ettinger. Their work appears in journals such as Blood, The Journal of Immunology, Human Vaccines & Immunotherapeutics, Journal of Allergy and Clinical Immunology and Journal of General Virology.
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.