Bryan Williams
- Cardiology and Cardiovascular Medicine top 0.02%
- Blood Pressure and Hypertension Studies 202
- Cardiovascular Health and Disease Prevention 75
- Heart Rate Variability and Autonomic Control 54
- Immunology top 0.02%
- interferon and immune responses 98
- Endocrinology, Diabetes and Metabolism top 0.05%
- Hormonal Regulation and Hypertension 46
- Family Practice top 0.2%
- Health Informatics top 0.1%
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- RNA regulation and disease 80
- RNA Research and Splicing 45
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- Cytokine Signaling Pathways and Interactions 60
- Co-authors
- Robert H. SilvermanIan M. KerrGeorge R. StarkRobert D. SchreiberSandy D. DerJonathan M. NicholsNeil R PoulterAimin Zhou
- Journals
- Journal of Hypertension (57 papers)Journal of Biological Chemistry (28 papers)Hypertension (28 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Bryan Williams
876 papers receiving 58.9k citations
Hit Papers
Peers
Comparison fields: 5 of 218
- Cardiology and Cardiovascular Medicine 17.8k
- Immunology 14.8k
- Endocrinology, Diabetes and Metabolism 6.1k
- Family Practice 707
- Health Informatics 410
Countries citing papers authored by Bryan Williams
This map shows the geographic impact of Bryan 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 Bryan Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Williams more than expected).
Fields of papers citing papers by Bryan Williams
This network shows the impact of papers produced by Bryan 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 Bryan Williams. The network helps show where Bryan Williams may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bryan 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 | 2022 | 27 | |
| 2 | 2021 | 22 | |
| 3 | 2019 | 88 | |
| 4 | 2018 | 37 | |
| 5 | 2017 | 58 | |
| 6 | 2017 | 44 | |
| 7 | 2016 | 12 | |
| 8 | 2014 | 258 | |
| 9 | 2013 | 163 | |
| 10 | 2013 | 8 | |
| 11 | 2008 | 64 | |
| 12 | 2005 | 46 | |
| 13 | 2004 | 179 | |
| 14 | 2004 | 101 | |
| 15 | 1998 | 167 | |
| 16 | 1993 | 44 | |
| 17 | 1992 | 7 | |
| 18 | 1991 | 16 | |
| 19 | 1989 | 1 | |
| 20 | 1989 | 119 |
About Bryan Williams
Bryan Williams is a scholar working on Cardiology and Cardiovascular Medicine, Immunology and Family Practice, having authored 906 papers that have together received 61.1k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (202 papers), interferon and immune responses (98 papers), RNA regulation and disease (80 papers), Cardiovascular Health and Disease Prevention (75 papers), Cytokine Signaling Pathways and Interactions (60 papers), Heart Rate Variability and Autonomic Control (54 papers), Hormonal Regulation and Hypertension (46 papers) and RNA Research and Splicing (45 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (17.8k citations), Immunology (14.8k citations) and Endocrinology, Diabetes and Metabolism (6.1k citations). Bryan Williams has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Robert H. Silverman, Ian M. Kerr, George R. Stark, Robert D. Schreiber, Sandy D. Der, Jonathan M. Nichols, Neil R Poulter, Aimin Zhou, Giuseppe Mancia and Simon Thom. Their work appears in journals such as Journal of Hypertension, Journal of Biological Chemistry, Hypertension, Lara D. Veeken and The Lancet.
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.