D S Sharp
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
-
- Antiplatelet Therapy and Cardiovascular Diseases
Papers in
- Surgery 6
- Lipoproteins and Cardiovascular Health 3
- Co-authors
- Andrew D Beswick (7 shared papers)Beatriz L. Rodríguez (5 shared papers)Cecil M. Burchfiel (6 shared papers)Neal L. Benowitz (1 shared paper)J. David Curb (3 shared papers)Robert D. Abbott (3 shared papers)PC Elwood (1 shared paper)P C Elwood (4 shared papers)
- Journals
- American Journal of Epidemiology (3 papers)Circulation (2 papers)Platelets (2 papers)Psychological Medicine (2 papers)International Journal of Sports Medicine (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
D S Sharp
31 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 128
- Endocrinology, Diabetes and Metabolism 393
- Cardiology and Cardiovascular Medicine 373
- Biochemistry 106
- Physiology 296
- Biochemistry 68
Countries citing papers authored by D S Sharp
This map shows the geographic impact of D S Sharp'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 D S Sharp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D S Sharp more than expected).
Fields of papers citing papers by D S Sharp
This network shows the impact of papers produced by D S Sharp. 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 D S Sharp. The network helps show where D S Sharp may publish in the future.
Co-authors
The 25 scholars most cited alongside D S Sharp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 237 | |
| 2 | 1994 | 184 | |
| 3 | 2004 | 181 | |
| 4 | 1995 | 162 | |
| 5 | 1991 | 157 | |
| 6 | 1999 | 141 | |
| 7 | 1989 | 114 | |
| 8 | 1973 | 66 | |
| 9 | 1988 | 66 | |
| 10 | 1986 | 66 | |
| 11 | 1994 | 62 | |
| 12 | 1998 | 60 | |
| 13 | 1990 | 55 | |
| 14 | 1982 | 52 | |
| 15 | 1990 | 43 | |
| 16 | 1997 | 40 | |
| 17 | 2003 | 34 | |
| 18 | 1981 | 32 | |
| 19 | 1991 | 27 | |
| 20 | 1996 | 24 |
About D S Sharp
D S Sharp is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Endocrinology, Diabetes and Metabolism, Complementary and alternative medicine and Pathology and Forensic Medicine, having authored 32 papers that have together received 1.9k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Cardiovascular and exercise physiology (4 papers), Alcohol Consumption and Health Effects (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Muscle metabolism and nutrition (2 papers), Fatty Acid Research and Health (2 papers), Noise Effects and Management (2 papers) and Nutritional Studies and Diet (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (393 citations), Cardiology and Cardiovascular Medicine (373 citations), Biochemistry (106 citations), Physiology (296 citations) and Biochemistry (68 citations). D S Sharp has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Andrew D Beswick, Beatriz L. Rodríguez, Cecil M. Burchfiel, Neal L. Benowitz, J. David Curb, Robert D. Abbott, PC Elwood, P C Elwood, L.-J. Hwang and S. Renaud. Their work appears in journals such as American Journal of Epidemiology, Circulation, Platelets, Psychological Medicine and International Journal of Sports 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.