T.B. Clarkson

44 papers receiving 1.9k citations

Peers

T.B. Clarkson
Comparison fields: 5 of 106
  • Behavioral Neuroscience 248
  • Endocrinology, Diabetes and Metabolism 539
  • Cardiology and Cardiovascular Medicine 454
  • Biochemistry 96
  • Genetics 393
Replace Donald R. Koritnik with:
Donald R. Koritnik United States
Hong Ji United States
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M Rebuffé-Scrive Sweden
T. Hugh Jones United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by T.B. Clarkson

Since Specialization
Citations

This map shows the geographic impact of T.B. Clarkson'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 T.B. Clarkson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.B. Clarkson more than expected).

Fields of papers citing papers by T.B. Clarkson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.B. Clarkson. 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 T.B. Clarkson. The network helps show where T.B. Clarkson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987218
2 1991216
3 1985122
4 1991112
5 1994105
6 198397
7 198095
8 198980
9 200079
10 198077
11 197972
12 197062
13 199453
14 198452
15 198742
16 199639
17 199239
18 198736
19
A study of atherosclerosis regression in Macaca mulatta: III. Chemical changes in arteries from animals with atherosclerosis induced for 19 months and regressed for 48 months at plasma cholesterol concentrations of 300 or 200 mg/dl.
198034
20 197634

About T.B. Clarkson

T.B. Clarkson is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Immunology, Epidemiology and Animal Science and Zoology, having authored 44 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (9 papers), Atherosclerosis and Cardiovascular Diseases (9 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Animal Nutrition and Physiology (6 papers), Stress Responses and Cortisol (6 papers), Comparative Animal Anatomy Studies (5 papers), Lipoproteins and Cardiovascular Health (5 papers) and Menopause: Health Impacts and Treatments (4 papers). The work is most often cited by research in Behavioral Neuroscience (248 citations), Endocrinology, Diabetes and Metabolism (539 citations), Cardiology and Cardiovascular Medicine (454 citations), Biochemistry (96 citations) and Genetics (393 citations). T.B. Clarkson has collaborated with scholars based in United States, Thailand and Switzerland. Frequent co-authors include Carol A. Shively, Michael R. Adams, Jay R. Kaplan, Richard W. St. Clair, William D. Wagner, Dawn C. Schwenke, Bill C. Bullock, Janice D. Wagner, Stephen B. Manuck and Kurt W. Weingand. Their work appears in journals such as Experimental and Molecular Pathology, Atherosclerosis, Circulation, Journal of Clinical Investigation and Circulation Research.

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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