Leon Su
- Immunology top 1%
- Immune Cell Function and Interaction 24
- T-cell and B-cell Immunology 22
- Immunotherapy and Immune Responses 10
- Immune Response and Inflammation 5
- Oncology top 2%
- Cytokine Signaling Pathways and Interactions 11
- CAR-T cell therapy research 5
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways 5
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- Monoclonal and Polyclonal Antibodies Research 6
- Genetics top 10%
- Co-authors
- Michael DavidC. Garrison FathmanK. Christopher GarcíaJack T. LinKevin M. JudeYoshinari TanabeTakeaki NishiboriPaul J. Utz
- Cited by
- ImmunologyOncologyMolecular Biology
- Journals
- The Journal of Immunology (8 papers)Journal of Biological Chemistry (6 papers)Nature (4 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Leon Su
47 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Immunology 1.7k
- Oncology 1.2k
- Molecular Biology 1.0k
- Radiology, Nuclear Medicine and Imaging 284
- Genetics 277
Countries citing papers authored by Leon Su
This map shows the geographic impact of Leon 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 Leon Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leon Su more than expected).
Fields of papers citing papers by Leon Su
This network shows the impact of papers produced by Leon 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 Leon Su. The network helps show where Leon Su may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Leon 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 6 | |
| 3 | 2023 | 6 | |
| 4 | 2021 | 113 | |
| 5 | 2021 | 24 | |
| 6 | 2021 | 55 | |
| 7 | 2020 | 78 | |
| 8 | Selective targeting of engineered T cells using orthogonal IL-2 cytokine-receptor complexesbreakdown → | 2018 | 275 |
| 9 | 2012 | 73 | |
| 10 | 2011 | 13 | |
| 11 | 2009 | 37 | |
| 12 | 2009 | 37 | |
| 13 | 2009 | 109 | |
| 14 | 2006 | 62 | |
| 15 | 2004 | 55 | |
| 16 | 2004 | 85 | |
| 17 | 2004 | 159 | |
| 18 | 2000 | 116 | |
| 19 | Distribution and function of murine platelets and T cell activation antigen 1 | 1999 | 1 |
| 20 | 1999 | 34 |
About Leon Su
Leon Su is a scholar working on Immunology, Oncology, Radiology, Nuclear Medicine and Imaging, Periodontics and Genetics, having authored 47 papers that have together received 2.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (24 papers), T-cell and B-cell Immunology (22 papers), Cytokine Signaling Pathways and Interactions (11 papers), Immunotherapy and Immune Responses (10 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), CAR-T cell therapy research (5 papers), Immune Response and Inflammation (5 papers) and Ubiquitin and proteasome pathways (5 papers). The work is most often cited by research in Immunology (1.7k citations), Oncology (1.2k citations), Molecular Biology (1.0k citations), Radiology, Nuclear Medicine and Imaging (284 citations) and Genetics (277 citations). Leon Su has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Michael David, C. Garrison Fathman, K. Christopher García, Jack T. Lin, C. Garrison Fathman, Kevin M. Jude, Yoshinari Tanabe, Takeaki Nishibori, Paul J. Utz and Luis Soares. Their work appears in journals such as The Journal of Immunology, Journal of Biological Chemistry, Nature, Clinical Immunology and Transfusion.
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.