D. S. Sharp

9 papers receiving 853 citations

D. S. Sharp's Hit Papers

Increased coronary heart disease in Japanese-American men with mutation in the cholesteryl ester transfer protein gene despite increased HDL levels. 1996 · 492 citations
4920+10+20Years since publication100200300400

Peers

D. S. Sharp
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 309
  • Surgery 344
  • Cancer Research 111
  • Cardiology and Cardiovascular Medicine 96
  • Experimental and Cognitive Psychology 55
Replace Jan Börgel with:
Jan Börgel Germany
José M. Mendiguren Spain
Federico Vancheri Italy
Vanessa R. Panz South Africa
Yung‐Chuan Lu Taiwan
S.M. Haffner United States
Eleanor Z. Wallace United States
Huibin Huang China
D. S. Sharp relative to Jan Börgel Germany Jan Börgel's profile →
Citations per field
00.5×5.5×
Jan Börgel · 1×
Citations per year

Countries citing papers authored by D. S. Sharp

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with D. S. Sharp Line = papers co-authored together D. S. Sharp links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Increased coronary heart disease in Japanese-American men with mutation in the cholesteryl ester transfer protein gene despite increased HDL levels.
Hit paper breakdown →
1996492
2 199480
3 199678
4 199874
5 200072
6 199641
7 197736
8 197419
9
Hypertension in elderly Japanese Americans and adult native Hawaiians.
19967
10 19732
11 19950

About D. S. Sharp

D. S. Sharp is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Epidemiology and Public Health, Environmental and Occupational Health, having authored 11 papers that have together received 901 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Endometrial and Cervical Cancer Treatments (1 paper), Endometriosis Research and Treatment (1 paper), Health and Well-being Studies (1 paper), Uterine Myomas and Treatments (1 paper) and Statistical Methods in Epidemiology (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (309 citations), Surgery (344 citations), Cancer Research (111 citations), Cardiology and Cardiovascular Medicine (96 citations) and Experimental and Cognitive Psychology (55 citations). D. S. Sharp has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include J. David Curb, Katsuhiko Yano, Can Bruce, Shaobin Zhong, John Grove, Alan R. Tall, Beatriz L. Rodríguez, Cecil M. Burchfiel, Paul Enright and Gundula Behrens. Their work appears in journals such as BJOG An International Journal of Obstetrics & Gynaecology, American Journal of Epidemiology, Stroke, Journal of Clinical Investigation and Anaesthesia.

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.

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