James C. Yang
- Immunology top 0.05%
- Immunotherapy and Immune Responses 78
- Immune Cell Function and Interaction 15
- T-cell and B-cell Immunology 14
- Oncology top 0.02%
- CAR-T cell therapy research 75
- Cancer Immunotherapy and Biomarkers 41
- Genetics top 0.2%
- Virus-based gene therapy research 22
- Biotechnology top 0.2%
- Molecular Biology top 1%
- vaccines and immunoinformatics approaches 15
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- Monoclonal and Polyclonal Antibodies Research 11
- Co-authors
- Steven A. RosenbergNicholas P. RestifoMark E. DudleyRichard A. MorganRichard M. SherryCarolyn M. LaurençotMio KitanoJohn R. Wunderlich
- Cited by
- ImmunologyOncologyGenetics
- Journals
- Journal of Clinical Oncology (18 papers)Journal of Immunotherapy (17 papers)Clinical Cancer Research (8 papers)
- Partner nations
- United StatesTaiwanSouth Korea
In The Last Decade
James C. Yang
134 papers receiving 20.4k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Immunology 12.0k
- Oncology 15.3k
- Genetics 4.1k
- Biotechnology 1.2k
- Molecular Biology 5.7k
Countries citing papers authored by James C. Yang
This map shows the geographic impact of James C. Yang'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 James C. Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James C. Yang more than expected).
Fields of papers citing papers by James C. Yang
This network shows the impact of papers produced by James C. Yang. 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 James C. Yang. The network helps show where James C. Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside James C. Yang, 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 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 12 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 3 | |
| 9 | 2016 | 65 | |
| 10 | 2016 | 175 | |
| 11 | 2015 | 332 | |
| 12 | 2014 | 304 | |
| 13 | 2014 | 39 | |
| 14 | 2012 | 55 | |
| 15 | 2011 | 82 | |
| 16 | 2010 | 245 | |
| 17 | 2008 | 11 | |
| 18 | 2004 | 97 | |
| 19 | 2002 | 78 | |
| 20 | Phase I Study of the Intravenous Administration of AttenuatedSalmonella typhimuriumto Patients With Metastatic Melanomabreakdown → | 2002 | 565 |
About James C. Yang
James C. Yang is a scholar working on Immunology, Oncology and Genetics, having authored 140 papers that have together received 20.9k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (78 papers), CAR-T cell therapy research (75 papers), Cancer Immunotherapy and Biomarkers (41 papers), Virus-based gene therapy research (22 papers), vaccines and immunoinformatics approaches (15 papers), Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (14 papers) and Monoclonal and Polyclonal Antibodies Research (11 papers). The work is most often cited by research in Immunology (12.0k citations), Oncology (15.3k citations) and Genetics (4.1k citations). James C. Yang has collaborated with scholars based in United States, Taiwan and South Korea. Frequent co-authors include Steven A. Rosenberg, Nicholas P. Restifo, Mark E. Dudley, Richard A. Morgan, Richard M. Sherry, Carolyn M. Laurençot, Mio Kitano, John R. Wunderlich, Udai S. Kammula and Suzanne L. Topalian. Their work appears in journals such as Journal of Clinical Oncology, Journal of Immunotherapy, Clinical Cancer Research, Journal for ImmunoTherapy of Cancer and Blood.
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.