Dan S. Sharp

4.2k citations
74 papers · 3.2k indexed · h-index 30

Dan S. Sharp

73 papers receiving 3.0k citations

Peers

Dan S. Sharp
Comparison fields: 5 of 154
  • Cardiology and Cardiovascular Medicine 703
  • Endocrinology, Diabetes and Metabolism 441
  • Occupational Therapy 97
  • Speech and Hearing 138
  • Physiology 515
Replace Pirjo Halonen with:
Pirjo Halonen Finland
Wee Lock Ooi United States
W.H.L. Hoefnagels Netherlands
Lisa H. Colbert United States
Priya Parmar New Zealand
Alejandro Santos‐Lozano Spain
Kevin S. Heffernan United States
Carmelinda Ruggiero Italy
Marc Bonnefoy France
Ahmet Turan Işık Türkiye
Dan S. Sharp relative to Pirjo Halonen Finland Pirjo Halonen's profile →
Citations per field
00.5×3.1×
Pirjo Halonen · 1×
Citations per year

Countries citing papers authored by Dan S. Sharp

Since Specialization
Citations

This map shows the geographic impact of Dan 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 Dan 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 Dan S. Sharp more than expected).

Fields of papers citing papers by Dan S. Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan 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 Dan S. Sharp. The network helps show where Dan S. Sharp may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Dan 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 Dan S. Sharp Line = papers co-authored together Dan S. Sharp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2003149
2 200210
3 2002131
4 200028
5 199916
6 199813
7 199823
8 199840
9 199749
10 199741
11 199736
12 199643
13 199623
14 19952
15 199510
16 1995115
17 199377
18 199328
19 199025
20 19908

About Dan S. Sharp

Dan S. Sharp is a scholar working on Chemical Health and Safety, Endocrinology, Diabetes and Metabolism, Complementary and alternative medicine, Health, Toxicology and Mutagenesis and Occupational Therapy, having authored 74 papers that have together received 3.2k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers), Heavy Metal Exposure and Toxicity (7 papers), Lipoproteins and Cardiovascular Health (5 papers), Cardiovascular and exercise physiology (5 papers), Obesity, Physical Activity, Diet (4 papers), Heart Rate Variability and Autonomic Control (4 papers), Blood properties and coagulation (4 papers) and Nutritional Studies and Diet (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (703 citations), Endocrinology, Diabetes and Metabolism (441 citations), Occupational Therapy (97 citations), Speech and Hearing (138 citations) and Physiology (515 citations). Dan S. Sharp has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Cecil M. Burchfiel, Beatriz L. Rodríguez, Robert D. Abbott, J. David Curb, J. David Curb, Katsuhiko Yano, Kamal Masaki, Helen Petrovitch, Daniel J. Foley and Irwin J. Schatz. Their work appears in journals such as Annals of Epidemiology, Arteriosclerosis Thrombosis and Vascular Biology, Biopolymers, Journal of Clinical Epidemiology and Circulation.

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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