T Sharp

833 citations
10 papers · 628 · h-index 6

Impact in

Papers in

    • Muscle metabolism and nutrition 4
    • Diet and metabolism studies 3
    • Body Composition Measurement Techniques 1

T Sharp

9 papers receiving 578 citations

Peers

T Sharp
Comparison fields: 5 of 71
  • Physiology 325
  • Public Health, Environmental and Occupational Health 204
  • Nutrition and Dietetics 105
  • Endocrine and Autonomic Systems 44
  • Cell Biology 104
Replace Teresa Barbieri with:
Teresa Barbieri United States
JS Garrow United Kingdom
I Harper United States
Michael Niederpruem United States
SD Poppitt United Kingdom
E. L. Melanson United States
Janice O’Connor Australia
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C.L. Lawton United Kingdom
LS Piers Australia
T Sharp relative to Teresa Barbieri United States Teresa Barbieri's profile →
Citations per field
00.5×1.5×2.5×
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Citations per year

Countries citing papers authored by T Sharp

Since Specialization
Citations

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

Fields of papers citing papers by T Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 1992207
2 1991148
3 1990117
4 198977
5 199344
6 200328
7 20012
8
Active recall of men who have sex with men (MSM) for an HIV/STI testing: a feasible and effective strategy?
20142
9 20012
10 20011

About T Sharp

T Sharp is a scholar working on Cell Biology, Physiology, Public Health, Environmental and Occupational Health, Molecular Biology and Epidemiology, having authored 10 papers that have together received 628 indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (4 papers), Diet and metabolism studies (3 papers), Obesity, Physical Activity, Diet (2 papers), Body Composition Measurement Techniques (1 paper), Fatty Acid Research and Health (1 paper), Retinal and Optic Conditions (1 paper), Muscle Physiology and Disorders (1 paper) and HIV-related health complications and treatments (1 paper). The work is most often cited by research in Physiology (325 citations), Public Health, Environmental and Occupational Health (204 citations), Nutrition and Dietetics (105 citations), Endocrine and Autonomic Systems (44 citations) and Cell Biology (104 citations). T Sharp has collaborated with scholars based in United States and Australia. Frequent co-authors include JO Hill, Tracy Sbrocco, JC Peters, Naji N. Abumrad, David C.H. Yang, James O. Hill, David G. Schlundt, Barbara A. Stetson, Joseph A. Houmard and Daniel R. Kuritzkes. Their work appears in journals such as American Journal of Clinical Nutrition, HIV Medicine, Journal of Lipid Research, Journal of Labelled Compounds and Radiopharmaceuticals and UCL Discovery (University College London).

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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