Ian M. Williams
- Geriatrics and Gerontology top 5%
- Physiology top 10%
- Adipose Tissue and Metabolism 9
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- Cancer, Hypoxia, and Metabolism 2
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- Congenital heart defects research 4
- Single-cell and spatial transcriptomics 3
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- Cardiovascular and exercise physiology 5
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- Diabetes Management and Research 3
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- Adipokines, Inflammation, and Metabolic Diseases 3
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- Birth, Development, and Health 2
- Co-authors
- David H. WassermanJoseph C. WuDeanna P. BracyKristy Red‐HorseHao ZhangSiyeon RheeDavid T. PaikLei Tian
- Journals
- Circulation (1 paper)Journal of Clinical Investigation (1 paper)Circulation Research (2 papers)
- Partner nations
- United StatesIndiaNetherlands
In The Last Decade
Ian M. Williams
24 papers receiving 830 citations
Peers
Comparison fields: 5 of 96
- Geriatrics and Gerontology 83
- Physiology 260
- Cardiology and Cardiovascular Medicine 164
- Cancer Research 100
- Molecular Biology 428
Countries citing papers authored by Ian M. Williams
This map shows the geographic impact of Ian M. Williams'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 Ian M. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian M. Williams more than expected).
Fields of papers citing papers by Ian M. Williams
This network shows the impact of papers produced by Ian M. Williams. 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 Ian M. Williams. The network helps show where Ian M. Williams may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ian M. Williams, 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 | 2024 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 11 | |
| 5 | 2021 | 15 | |
| 6 | 2021 | 41 | |
| 7 | 2021 | 31 | |
| 8 | 2020 | 176 | |
| 9 | 2020 | 19 | |
| 10 | 2020 | 13 | |
| 11 | 2019 | 21 | |
| 12 | 2019 | 23 | |
| 13 | 2019 | 3 | |
| 14 | 2019 | 8 | |
| 15 | 2019 | 1 | |
| 16 | 2019 | 69 | |
| 17 | 2018 | 36 | |
| 18 | 2017 | 17 | |
| 19 | 2016 | 171 | |
| 20 | 1976 | 9 |
About Ian M. Williams
Ian M. Williams is a scholar working on Complementary and alternative medicine, Physiology and Cardiology and Cardiovascular Medicine, having authored 24 papers that have together received 840 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (9 papers), Cardiovascular and exercise physiology (5 papers), Congenital heart defects research (4 papers), Single-cell and spatial transcriptomics (3 papers), Diabetes Management and Research (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Birth, Development, and Health (2 papers). The work is most often cited by research in Geriatrics and Gerontology (83 citations), Physiology (260 citations) and Cardiology and Cardiovascular Medicine (164 citations). Ian M. Williams has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include David H. Wasserman, Joseph C. Wu, Deanna P. Bracy, Kristy Red‐Horse, Hao Zhang, Siyeon Rhee, David T. Paik, Lei Tian, Chun Liu and Sean M. Wu. Their work appears in journals such as Circulation, Journal of Clinical Investigation and Circulation Research.
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.