D S Sharp

2k citations
28 papers · 1.7k · h-index 20

Impact in

Papers in

D S Sharp

28 papers receiving 1.5k citations

Peers

D S Sharp
Comparison fields: 5 of 107
  • Endocrinology, Diabetes and Metabolism 235
  • Hematology 164
  • Physiology 265
  • Cardiology and Cardiovascular Medicine 249
  • Pathology and Forensic Medicine 170
Replace Xinhua Chen with:
Xinhua Chen United States
Dimitrios Nikiforos Kiortsis Greece
Omar Salem Al-Attas Saudi Arabia
Rudolph Schutte South Africa
Diane Corey United States
Laura S. Hillman United States
Nikos Yiannakouris Greece
Kazushige Dobashi Japan
Omar Obeid Lebanon
Lawrence M. Resnick United States
D S Sharp relative to Xinhua Chen United States Xinhua Chen's profile →
Citations per field
00.5×2×3×4.2×
Xinhua Chen · 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

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992231
2 2004192
3 1995158
4 1991156
5 1999145
6 1989115
7 198868
8 197365
9 198665
10 199462
11 199862
12 199056
13 198252
14 199043
15 199740
16 200335
17 199126
18 199522
19 199421
20 199621

About D S Sharp

D S Sharp is a scholar working on Cardiology and Cardiovascular Medicine, Hematology, Health, Toxicology and Mutagenesis, Physiology and Endocrinology, Diabetes and Metabolism, having authored 28 papers that have together received 1.7k indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (4 papers), Platelet Disorders and Treatments (4 papers), Lipoproteins and Cardiovascular Health (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Smoking Behavior and Cessation (2 papers), Cardiovascular Health and Risk Factors (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers) and Blood Coagulation and Thrombosis Mechanisms (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (235 citations), Hematology (164 citations), Physiology (265 citations), Cardiology and Cardiovascular Medicine (249 citations) and Pathology and Forensic Medicine (170 citations). D S Sharp has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Andrew David Beswick, Beatriz L. Rodríguez, S. Renaud, Cecil M. Burchfiel, Neal L. Benowitz, Robert D. Abbott, J. David Curb, PC Elwood, Katsuhiko Yano and P C Elwood. Their work appears in journals such as American Journal of Epidemiology, Platelets, Circulation, Psychological Medicine and Acta Neurologica Scandinavica.

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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