D. S. Sharp
Impact in
- Clinical Biochemistry top 5%
- Paraoxonase enzyme and polymorphisms
- Surgery top 5%
- Lipoproteins and Cardiovascular Health
- Cholesterol and Lipid Metabolism
Papers in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 2
- Co-authors
- J. David Curb (5 shared papers)Katsuhiko Yano (3 shared papers)Alan R. Tall (1 shared paper)Shaobin Zhong (1 shared paper)Can Bruce (1 shared paper)John Grove (1 shared paper)Beatriz L. Rodríguez (5 shared papers)Cecil M. Burchfiel (5 shared papers)
- Journals
- American Journal of Epidemiology (2 papers)Journal of Clinical Investigation (1 paper)American Journal of Respiratory and Critical Care Medicine (1 paper)Stroke (1 paper)The Journals of Gerontology Series A (1 paper)
- Partner nations
- United States
In The Last Decade
D. S. Sharp
7 papers receiving 806 citations
Peers
Comparison fields: 5 of 61
- Clinical Biochemistry 93
- Surgery 451
- Endocrinology, Diabetes and Metabolism 98
- Cardiology and Cardiovascular Medicine 123
- Experimental and Cognitive Psychology 67
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
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 508 | |
| 2 | 1994 | 80 | |
| 3 | 1996 | 76 | |
| 4 | 1998 | 72 | |
| 5 | 2000 | 70 | |
| 6 | 1996 | 42 | |
| 7 | Hypertension in elderly Japanese Americans and adult native Hawaiians. | 1996 | 6 |
About D. S. Sharp
D. S. Sharp is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Pulmonary and Respiratory Medicine, Experimental and Cognitive Psychology and Psychiatry and Mental health, having authored 7 papers that have together received 854 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Cholesterol and Lipid Metabolism (1 paper), Sleep and related disorders (1 paper), Acute Ischemic Stroke Management (1 paper), Blood Pressure and Hypertension Studies (1 paper), Dementia and Cognitive Impairment Research (1 paper) and Lipoproteins and Cardiovascular Health (1 paper). The work is most often cited by research in Clinical Biochemistry (93 citations), Surgery (451 citations), Endocrinology, Diabetes and Metabolism (98 citations), Cardiology and Cardiovascular Medicine (123 citations) and Experimental and Cognitive Psychology (67 citations). D. S. Sharp has collaborated with scholars based in United States. Frequent co-authors include J. David Curb, Katsuhiko Yano, Alan R. Tall, Shaobin Zhong, Can Bruce, John Grove, Beatriz L. Rodríguez, Cecil M. Burchfiel, Paul Enright and J. David Curb. Their work appears in journals such as American Journal of Epidemiology, Journal of Clinical Investigation, American Journal of Respiratory and Critical Care Medicine, Stroke and The Journals of Gerontology Series A.
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.