William Yang
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunodeficiency and Autoimmune Disorders
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- Carcinogens and Genotoxicity Assessment
Papers in
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- DNA Repair Mechanisms 8
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- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 2
- Co-authors
- Patricia J. Gearhart (13 shared papers)Stella Martomo (5 shared papers)Robert W. Maul (8 shared papers)Huseyin Saribasak (5 shared papers)Timothy L. Karr (2 shared papers)Fumio Hanaoka (2 shared papers)Masayuki Yokoi (2 shared papers)Roger Woodgate (3 shared papers)
- Journals
- The Journal of Experimental Medicine (5 papers)The Journal of Immunology (4 papers)Proceedings of the Royal Society B Biological Sciences (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nature Immunology (1 paper)
- Partner nations
- United StatesJapanNetherlands
In The Last Decade
William Yang
15 papers receiving 688 citations
Peers
Comparison fields: 5 of 57
- Immunology 316
- Cancer Research 85
- Molecular Biology 403
- Pathology and Forensic Medicine 93
- Insect Science 66
Countries citing papers authored by William Yang
This map shows the geographic impact of William 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 William Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Yang more than expected).
Fields of papers citing papers by William Yang
This network shows the impact of papers produced by William 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 William Yang. The network helps show where William Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside William 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 | 2004 | 135 | |
| 2 | 2005 | 106 | |
| 3 | 2010 | 102 | |
| 4 | 2004 | 67 | |
| 5 | 2011 | 48 | |
| 6 | 1998 | 44 | |
| 7 | 2012 | 39 | |
| 8 | 2006 | 33 | |
| 9 | 1999 | 32 | |
| 10 | 2021 | 25 | |
| 11 | 2016 | 24 | |
| 12 | 2005 | 22 | |
| 13 | 2014 | 11 | |
| 14 | 2019 | 3 | |
| 15 | 2022 | 2 |
About William Yang
William Yang is a scholar working on Molecular Biology, Immunology, Oncology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 693 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (8 papers), T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers), PARP inhibition in cancer therapy (2 papers), Cancer Genomics and Diagnostics (2 papers), Immunotherapy and Immune Responses (2 papers), Insect-Plant Interactions and Control (2 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Immunology (316 citations), Cancer Research (85 citations), Molecular Biology (403 citations), Pathology and Forensic Medicine (93 citations) and Insect Science (66 citations). William Yang has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Patricia J. Gearhart, Stella Martomo, Robert W. Maul, Huseyin Saribasak, Timothy L. Karr, Fumio Hanaoka, Masayuki Yokoi, Roger Woodgate, M. E. Feder and David M. Wilson. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology, Proceedings of the Royal Society B Biological Sciences, Proceedings of the National Academy of Sciences 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.