William H. Wood
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 8
- Cancer Research top 2%
- Molecular Biology top 2%
- Mitochondrial Function and Pathology 10
- Photosynthetic Processes and Mechanisms 8
- Biological Psychiatry top 5%
- Immunology top 5%
- T-cell and B-cell Immunology 12
- Immune Cell Function and Interaction 10
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- Viral Infections and Immunology Research 9
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- Design Education and Practice 9
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- Product Development and Customization 9
- Co-authors
- Kevin G. BeckerYongqing ZhangPatrice J. MorinMyriam GorospeMark P. MattsonSupriyo DeStuart MaudsleyBronwen Martin
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (1 paper)Journal of Biological Chemistry (4 papers)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
William H. Wood
126 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 171
- Aging 271
- Cancer Research 981
- Molecular Biology 3.1k
- Biological Psychiatry 109
- Immunology 787
Countries citing papers authored by William H. Wood
This map shows the geographic impact of William H. Wood'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 H. Wood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William H. Wood more than expected).
Fields of papers citing papers by William H. Wood
This network shows the impact of papers produced by William H. Wood. 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 H. Wood. The network helps show where William H. Wood may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William H. Wood, 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 | 3 | |
| 2 | 2024 | 3 | |
| 3 | 2022 | 14 | |
| 4 | 2022 | 8 | |
| 5 | 2021 | 51 | |
| 6 | 2021 | 71 | |
| 7 | 2020 | 5 | |
| 8 | 2020 | 14 | |
| 9 | 2015 | 16 | |
| 10 | 2015 | 31 | |
| 11 | 2015 | 38 | |
| 12 | 2013 | 49 | |
| 13 | 2010 | 30 | |
| 14 | 2010 | 52 | |
| 15 | 2010 | 20 | |
| 16 | 2009 | 32 | |
| 17 | 2008 | 37 | |
| 18 | 2007 | 80 | |
| 19 | 1967 | 1 | |
| 20 | Studies on poliomyelitis in Ontario. VI. Additional laboratory studies on cases of clinical poliomyelitis excreting Coxsackie virus. | 1953 | 4 |
About William H. Wood
William H. Wood is a scholar working on Aging, Management of Technology and Innovation and Structural Biology, having authored 129 papers that have together received 5.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (12 papers), Immune Cell Function and Interaction (10 papers), Mitochondrial Function and Pathology (10 papers), Viral Infections and Immunology Research (9 papers), Design Education and Practice (9 papers), Product Development and Customization (9 papers), Genetics, Aging, and Longevity in Model Organisms (8 papers) and Photosynthetic Processes and Mechanisms (8 papers). The work is most often cited by research in Aging (271 citations), Cancer Research (981 citations) and Molecular Biology (3.1k citations). William H. Wood has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Kevin G. Becker, Yongqing Zhang, Patrice J. Morin, Myriam Gorospe, Mark P. Mattson, Supriyo De, Stuart Maudsley, Bronwen Martin, Neetu Dahiya and Cheryl A. Sherman‐Baust. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.