I. Williams
Impact in
-
- Cardiovascular Health and Disease Prevention
- Cardiovascular Disease and Adiposity
- Blood Pressure and Hypertension Studies
- Physiology top 10%
- Nitric Oxide and Endothelin Effects
- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in
-
- Blood Pressure and Hypertension Studies 1
- Cardiovascular Health and Disease Prevention 1
- Renin-Angiotensin System Studies 1
-
- Chronic Kidney Disease and Diabetes 1
- Dialysis and Renal Disease Management 1
- Co-authors
- Ajay M. Shah (3 shared papers)Stephen B. Wheatcroft (2 shared papers)Mark T. Kearney (2 shared papers)MT Kearney (1 shared paper)Robin Murray (2 shared papers)A. Dutt (2 shared papers)Katja Schulze (2 shared papers)Muriel Walshe (2 shared papers)
- Journals
- Diabetic Medicine (2 papers)Psychological Medicine (2 papers)International Journal of Obesity (1 paper)Diabetes Obesity and Metabolism (1 paper)
- Partner nations
- United KingdomSouth AfricaIreland
In The Last Decade
I. Williams
6 papers receiving 559 citations
Peers
Comparison fields: 5 of 72
- Cardiology and Cardiovascular Medicine 149
- Physiology 174
- Endocrinology, Diabetes and Metabolism 108
- Endocrine and Autonomic Systems 28
- Epidemiology 81
Countries citing papers authored by I. Williams
This map shows the geographic impact of I. 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 I. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. Williams more than expected).
Fields of papers citing papers by I. Williams
This network shows the impact of papers produced by I. 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 I. Williams. The network helps show where I. Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside I. 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 | 2003 | 235 | |
| 2 | 2002 | 208 | |
| 3 | 2009 | 57 | |
| 4 | 2005 | 45 | |
| 5 | 2010 | 33 | |
| 6 | 1989 | 10 |
About I. Williams
I. Williams is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology, Physiology, Biochemistry and Infectious Diseases, having authored 6 papers that have together received 588 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (1 paper), Blood Pressure and Hypertension Studies (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper), Cardiovascular Health and Disease Prevention (1 paper), Chronic Kidney Disease and Diabetes (1 paper), Dialysis and Renal Disease Management (1 paper) and Renin-Angiotensin System Studies (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (149 citations), Physiology (174 citations), Endocrinology, Diabetes and Metabolism (108 citations), Endocrine and Autonomic Systems (28 citations) and Epidemiology (81 citations). I. Williams has collaborated with scholars based in United Kingdom, South Africa and Ireland. Frequent co-authors include Ajay M. Shah, Stephen B. Wheatcroft, Mark T. Kearney, MT Kearney, Robin Murray, A. Dutt, Katja Schulze, Muriel Walshe, David Collier and Madiha Shaikh. Their work appears in journals such as Diabetic Medicine, Psychological Medicine, International Journal of Obesity and Diabetes Obesity and Metabolism.
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.