D S Sharp

33 papers receiving 1.7k citations

Peers

D S Sharp
Comparison fields: 5 of 128
  • Endocrinology, Diabetes and Metabolism 467
  • Cardiology and Cardiovascular Medicine 460
  • Biochemistry 112
  • Physiology 345
  • Biochemistry 71
Replace Hsiu‐Ching Hsu with:
Hsiu‐Ching Hsu Taiwan
Masamitsu Konishi Japan
Yoshihiko Naito Japan
Renzhe Cui Japan
Yoshio Komachi Japan
Adam G. Goodwill United States
Kyu Chang Won South Korea
P.C. Sharpe United Kingdom
Ping Chook Hong Kong
Lars Lind Sweden
D S Sharp relative to Hsiu‐Ching Hsu Taiwan Hsiu‐Ching Hsu's profile →
Citations per field
00.5×1.5×2.0×
Hsiu‐Ching Hsu · 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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992220
2 1994177
3 2004165
4 1995155
5 1991149
6 1999138
7 1989107
8 198864
9 197360
10 199860
11 199459
12 198655
13 199053
14 198251
15 199044
16 199740
17 200332
18 198131
19 199127
20 199623

About D S Sharp

D S Sharp is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery, Public Health, Environmental and Occupational Health and Complementary and alternative medicine, having authored 33 papers that have together received 1.8k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Cardiovascular and exercise physiology (4 papers), Alcohol Consumption and Health Effects (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Fatty Acid Research and Health (2 papers), Obesity and Health Practices (2 papers), Heavy Metal Exposure and Toxicity (2 papers) and Noise Effects and Management (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (467 citations), Cardiology and Cardiovascular Medicine (460 citations), Biochemistry (112 citations), Physiology (345 citations) and Biochemistry (71 citations). D S Sharp has collaborated with scholars based in United States, United Kingdom and Australia. 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, S. Renaud and L.-J. Hwang. Their work appears in journals such as American Journal of Epidemiology, Platelets, Circulation, Psychological Medicine and International Journal of Radiation Oncology*Biology*Physics.

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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