M. Statt

1.3k citations
12 papers · 1000 · h-index 12

Impact in

    • Muscle metabolism and nutrition
  • Physiology top 5%
    • Nutrition and Health in Aging
    • Diet and metabolism studies
    • Adipose Tissue and Metabolism

Papers in

    • Muscle metabolism and nutrition 8
    • Body Composition Measurement Techniques 3
    • Diet and metabolism studies 2

M. Statt

12 papers receiving 964 citations

Peers

M. Statt
Comparison fields: 5 of 72
  • Cell Biology 462
  • Physiology 523
  • Endocrinology, Diabetes and Metabolism 192
  • Rehabilitation 62
  • Orthopedics and Sports Medicine 72
Replace Jeffery J. Zachwieja with:
Jeffery J. Zachwieja United States
Carrie G. Sharoff United States
Tracy J. Horton United States
Z Brzezińska Poland
B. Sonne Denmark
LB Oscai
Ben D. Perry Australia
Deborah A. Podolin United States
C. B. Dolkas United States
Emily Arentson‐Lantz United States
M. Statt relative to Jeffery J. Zachwieja United States Jeffery J. Zachwieja's profile →
Citations per field
00.5×1.5×1.9×
Jeffery J. Zachwieja · 1×
Citations per year

Countries citing papers authored by M. Statt

Since Specialization
Citations

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

Fields of papers citing papers by M. Statt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside M. Statt, 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 M. Statt Line = papers co-authored together M. Statt links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1993217
2 1995149
3 1990108
4 1996100
5 199490
6 199389
7 199184
8 199270
9 199238
10 199428
11 199414
12 199513

About M. Statt

M. Statt is a scholar working on Cell Biology, Physiology, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Orthopedics and Sports Medicine, having authored 12 papers that have together received 1000 indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (8 papers), Body Composition Measurement Techniques (3 papers), Obesity, Physical Activity, Diet (3 papers), Sports Performance and Training (3 papers), Hormonal and reproductive studies (2 papers), Nutritional Studies and Diet (2 papers), Diet and metabolism studies (2 papers) and Muscle Physiology and Disorders (1 paper). The work is most often cited by research in Cell Biology (462 citations), Physiology (523 citations), Endocrinology, Diabetes and Metabolism (192 citations), Rehabilitation (62 citations) and Orthopedics and Sports Medicine (72 citations). M. Statt has collaborated with scholars based in United States. Frequent co-authors include Stephen Welle, Charles A. Thornton, Ralph F. Józefowicz, John M. Amatruda, Ronald G. Schwartz, Rosa Hendler, J A Truglia, K. Sreekumaran Nair, Dean H. Lockwood and Rufino C. Pabico. Their work appears in journals such as Metabolism, American Journal of Physiology-Endocrinology and Metabolism, The Journal of Clinical Endocrinology & Metabolism, Journal of Clinical Investigation and Diabetes Care.

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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