Su-Yi Tseng
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Immunology 10
- Immunotherapy and Immune Responses 8
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 6
- Oncology 4
- CAR-T cell therapy research 2
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Michael Loran Dustin (5 shared papers)Haruo Tsuchiya (1 shared paper)Sara Isabel Pai (1 shared paper)Jill E. Slansky (1 shared paper)Kevin S. Gorski (1 shared paper)Ahmed Shalabi (1 shared paper)Tahiro Shin (1 shared paper)DM Pardoll (1 shared paper)
- Journals
- Regenerative Medicine (2 papers)The Journal of Immunology (2 papers)Current Opinion in Immunology (1 paper)Current Opinion in Cell Biology (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Su-Yi Tseng
12 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 78
- Immunology 854
- Oncology 536
- Immunology and Allergy 70
- Radiology, Nuclear Medicine and Imaging 97
- Virology 17
Countries citing papers authored by Su-Yi Tseng
This map shows the geographic impact of Su-Yi Tseng'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 Su-Yi Tseng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su-Yi Tseng more than expected).
Fields of papers citing papers by Su-Yi Tseng
This network shows the impact of papers produced by Su-Yi Tseng. 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 Su-Yi Tseng. The network helps show where Su-Yi Tseng may publish in the future.
Co-authors
The 25 scholars most cited alongside Su-Yi Tseng, 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 | 2001 | 747 | |
| 2 | 2008 | 87 | |
| 3 | 2006 | 82 | |
| 4 | 2002 | 68 | |
| 5 | 2008 | 60 | |
| 6 | 2005 | 56 | |
| 7 | 2009 | 50 | |
| 8 | 2019 | 43 | |
| 9 | 2024 | 24 | |
| 10 | 2024 | 19 | |
| 11 | 2011 | 8 | |
| 12 | 2011 | 6 |
About Su-Yi Tseng
Su-Yi Tseng is a scholar working on Immunology, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Allergy and Molecular Biology, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), CAR-T cell therapy research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cell Adhesion Molecules Research (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Immunology (854 citations), Oncology (536 citations), Immunology and Allergy (70 citations), Radiology, Nuclear Medicine and Imaging (97 citations) and Virology (17 citations). Su-Yi Tseng has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Michael Loran Dustin, Haruo Tsuchiya, Sara Isabel Pai, Jill E. Slansky, Kevin S. Gorski, Ahmed Shalabi, Tahiro Shin, DM Pardoll, Xin Huang and Mizuto Otsuji. Their work appears in journals such as Regenerative Medicine, The Journal of Immunology, Current Opinion in Immunology, Current Opinion in Cell Biology and The Journal of Experimental Medicine.
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.