A Gaw
Impact in
-
- Acupuncture Treatment Research Studies
- Complementary and Alternative Medicine Studies
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 3
-
- Pharmacology and Obesity Treatment 2
- Co-authors
- Jonathan P. Shepherd (4 shared papers)Helen H. Hobbs (1 shared paper)Eric Boerwinkle (1 shared paper)Jonathan C. Cohen (1 shared paper)B D Vallance (2 shared papers)MURIEL J. CASLAKE (2 shared papers)Bruce A. Griffin (2 shared papers)G.M. Lindsay (2 shared papers)
- Journals
- British Journal of Clinical Pharmacology (1 paper)Atherosclerosis (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)Journal of Clinical Investigation (1 paper)New England Journal of Medicine (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
A Gaw
6 papers receiving 449 citations
Peers
Comparison fields: 5 of 59
- Complementary and alternative medicine 122
- Endocrinology, Diabetes and Metabolism 157
- Cancer Research 72
- Surgery 212
- Cognitive Neuroscience 72
Countries citing papers authored by A Gaw
This map shows the geographic impact of A Gaw'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 A Gaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Gaw more than expected).
Fields of papers citing papers by A Gaw
This network shows the impact of papers produced by A Gaw. 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 A Gaw. The network helps show where A Gaw may publish in the future.
Co-authors
The 15 scholars most cited alongside A Gaw, 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 | 1975 | 174 | |
| 2 | 1994 | 120 | |
| 3 | 1993 | 107 | |
| 4 | 1993 | 54 | |
| 5 | 1994 | 46 | |
| 6 | 1990 | 7 |
About A Gaw
A Gaw is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology, Surgery, Complementary and alternative medicine and Genetics, having authored 6 papers that have together received 508 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Pharmacology and Obesity Treatment (2 papers), Mitochondrial Function and Pathology (1 paper), Cholesterol and Lipid Metabolism (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Acupuncture Treatment Research Studies (1 paper) and Genetic Associations and Epidemiology (1 paper). The work is most often cited by research in Complementary and alternative medicine (122 citations), Endocrinology, Diabetes and Metabolism (157 citations), Cancer Research (72 citations), Surgery (212 citations) and Cognitive Neuroscience (72 citations). A Gaw has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Jonathan P. Shepherd, Helen H. Hobbs, Eric Boerwinkle, Jonathan C. Cohen, B D Vallance, MURIEL J. CASLAKE, Bruce A. Griffin, G.M. Lindsay, C.J. Packard and Chris J. Packard. Their work appears in journals such as British Journal of Clinical Pharmacology, Atherosclerosis, The Journal of Clinical Endocrinology & Metabolism, Journal of Clinical Investigation and New England Journal of Medicine.
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.