Matthew Sharp

2.0k citations
41 papers · 519 · h-index 12

Impact in

Papers in

    • Muscle metabolism and nutrition 17
    • Diet and metabolism studies 7
    • Adipose Tissue and Metabolism 6
    • Spaceflight effects on biology 3

Matthew Sharp

38 papers receiving 481 citations

Peers

Matthew Sharp
Comparison fields: 5 of 99
  • Cell Biology 163
  • Agronomy and Crop Science 94
  • Animal Science and Zoology 88
  • Physiology 207
  • Rehabilitation 50
Replace Elisabeth Debras with:
Elisabeth Debras France
Kristine L. Urschel United States
Cristina Cravana Italy
Jean Claustre France
John R. Burr United States
Rhonda M. Hoffman United States
J. PRUGNAUD France
Catherine Luengo France
Barry P. Fitzgerald United States
O.S. Gazal United States
Matthew Sharp relative to Elisabeth Debras France Elisabeth Debras's profile →
Citations per field
00.5×6.6×
Elisabeth Debras · 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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980161
2 201796
3 201721
4 201720
5 201617
6 201416
7 201815
8 202113
9 202113
10 202213
11 202113
12 202111
13 201411
14 201611
15 201511
16 201610
17 20207
18 20147
19 20206
20 20145

About Matthew Sharp

Matthew Sharp is a scholar working on Cell Biology, Physiology, Rehabilitation, Orthopedics and Sports Medicine and Molecular Biology, having authored 41 papers that have together received 519 indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (17 papers), Exercise and Physiological Responses (9 papers), Sports Performance and Training (8 papers), Diet and metabolism studies (7 papers), Adipose Tissue and Metabolism (6 papers), Diet, Metabolism, and Disease (3 papers), Spaceflight effects on biology (3 papers) and Muscle Physiology and Disorders (3 papers). The work is most often cited by research in Cell Biology (163 citations), Agronomy and Crop Science (94 citations), Animal Science and Zoology (88 citations), Physiology (207 citations) and Rehabilitation (50 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, Nutrition and Metabolic Insights, Journal of the American College of Nutrition and The Journal of Strength and Conditioning 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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