Matthew Sharp

38 papers receiving 504 citations

Peers

Matthew Sharp
Comparison fields: 5 of 98
  • Agronomy and Crop Science 99
  • Animal Science and Zoology 90
  • Cell Biology 138
  • Physiology 197
  • Rehabilitation 41
Replace Kristine L. Urschel with:
Kristine L. Urschel United States
Samer W. El‐Kadi United States
P. R. Buff United States
J. PRUGNAUD France
Barry P. Fitzgerald United States
John R. Burr United States
Cristina Cravana Italy
T.W. Odom United States
Antoine E. El-Khoury United States
Preston R. Buff United States
Matthew Sharp relative to Kristine L. Urschel United States Kristine L. Urschel's profile →
Citations per field
00.5×2.7×
Kristine L. Urschel · 1×
Citations per year

Countries citing papers authored by Matthew Sharp

Since Specialization
Citations

This map shows the geographic impact of Matthew 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 Matthew Sharp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Sharp more than expected).

Fields of papers citing papers by Matthew Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980170
2 201798
3 201722
4 201721
5 201619
6 201416
7 201815
8 202114
9 202114
10 202214
11 202113
12 201612
13 201412
14 202112
15 201511
16 201610
17 20208
18 20197
19 20147
20 20206

About Matthew Sharp

Matthew Sharp is a scholar working on Cell Biology, Physiology, Orthopedics and Sports Medicine, Molecular Biology and Rehabilitation, having authored 43 papers that have together received 551 indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (12 papers), Sports Performance and Training (8 papers), Diet and metabolism studies (7 papers), Exercise and Physiological Responses (6 papers), Diet, Metabolism, and Disease (3 papers), Obesity, Physical Activity, Diet (2 papers), Hormonal and reproductive studies (2 papers) and Protein Hydrolysis and Bioactive Peptides (2 papers). The work is most often cited by research in Agronomy and Crop Science (99 citations), Animal Science and Zoology (90 citations), Cell Biology (138 citations), Physiology (197 citations) and Rehabilitation (41 citations). Matthew Sharp has collaborated with scholars based in United States, Türkiye and France. Frequent co-authors include R.L. Baldwin, N.E. Smith, Jennifer Taylor, Ryan P. Lowery, Jacob M. Wilson, Kevin Shields, Michael D. Roberts, Jordan M. Joy, Jeff S. Volek and Dominic P. D’Agostino. Their work appears in journals such as Journal of the International Society of Sports Nutrition, Nutrients, The Journal of Strength and Conditioning Research, Journal of the American College of Nutrition and Nutrition and Metabolic Insights.

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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