William Nash
Impact in
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- Vagus Nerve Stimulation Research
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- IL-33, ST2, and ILC Pathways
Papers in
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- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 5
- Inflammation biomarkers and pathways 1
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- Cytomegalovirus and herpesvirus research 5
- Co-authors
- Michael G. Brown (8 shared papers)Mark D. Okusa (5 shared papers)Hairong Wei (4 shared papers)Kengo Nozaki (1 shared paper)Lupeng Li (1 shared paper)Jason K. Whitmire (1 shared paper)Heather N. Larson (1 shared paper)Shuqiu Zheng (2 shared papers)
- Journals
- Frontiers in Immunology (2 papers)American Journal of Physiology-Renal Physiology (2 papers)Proceedings of the National Academy of Sciences (2 papers)The Journal of Immunology (1 paper)PLoS Pathogens (1 paper)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
William Nash
15 papers receiving 288 citations
Peers
Comparison fields: 5 of 64
- Neurology 63
- Immunology 128
- Endocrine and Autonomic Systems 21
- Nephrology 22
- Biological Psychiatry 4
Countries citing papers authored by William Nash
This map shows the geographic impact of William Nash'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 Nash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Nash more than expected).
Fields of papers citing papers by William Nash
This network shows the impact of papers produced by William Nash. 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 Nash. The network helps show where William Nash may publish in the future.
Co-authors
The 25 scholars most cited alongside William Nash, 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 | 2022 | 95 | |
| 2 | 2021 | 82 | |
| 3 | 2014 | 31 | |
| 4 | 2019 | 14 | |
| 5 | 2014 | 12 | |
| 6 | 2013 | 11 | |
| 7 | 2018 | 10 | |
| 8 | 2016 | 8 | |
| 9 | 1981 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 1998 | 4 | |
| 12 | 2022 | 4 | |
| 13 | 2020 | 4 | |
| 14 | 2017 | 3 | |
| 15 | 2025 | 1 |
About William Nash
William Nash is a scholar working on Immunology, Epidemiology, Molecular Biology, Neurology and Surgery, having authored 15 papers that have together received 294 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Cytomegalovirus and herpesvirus research (5 papers), T-cell and B-cell Immunology (5 papers), Vagus Nerve Stimulation Research (2 papers), Connexins and lens biology (1 paper), Plant and animal studies (1 paper), Inflammation biomarkers and pathways (1 paper) and Apelin-related biomedical research (1 paper). The work is most often cited by research in Neurology (63 citations), Immunology (128 citations), Endocrine and Autonomic Systems (21 citations), Nephrology (22 citations) and Biological Psychiatry (4 citations). William Nash has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Michael G. Brown, Mark D. Okusa, Hairong Wei, Kengo Nozaki, Lupeng Li, Jason K. Whitmire, Heather N. Larson, Shuqiu Zheng, Nathaniel J. Moorman and Edward A. Miao. Their work appears in journals such as Frontiers in Immunology, American Journal of Physiology-Renal Physiology, Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS Pathogens.
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.