Meg Sleeper

561 citations
5 papers · 426 · h-index 5

Impact in

    • Muscle metabolism and nutrition
  • Physiology top 10%
    • Adipose Tissue and Metabolism
    • Diet and metabolism studies

Papers in

    • Muscle metabolism and nutrition 4
    • Hemoglobin structure and function 1
    • Ion channel regulation and function 2
    • Metabolism, Diabetes, and Cancer 1

Meg Sleeper

5 papers receiving 415 citations

Peers

Meg Sleeper
Comparison fields: 5 of 54
  • Cell Biology 244
  • Physiology 279
  • Orthopedics and Sports Medicine 86
  • Complementary and alternative medicine 61
  • Rehabilitation 48
Replace A. L. Katz with:
A. L. Katz United States
P Felig Sweden
Maria Pontes Ferreira United States
C. T. Putman Canada
Jennifer K. LeMoine United States
Toshiko Yokozeki Japan
H. J. Green Canada
K. E. Gavigan United States
A. E. Roch‐Norlund Sweden
Elizabeth J. Simpson United Kingdom
Meg Sleeper relative to A. L. Katz United States A. L. Katz's profile →
Citations per field
00.5×1.5×
A. L. Katz · 1×
Citations per year

Countries citing papers authored by Meg Sleeper

Since Specialization
Citations

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

Fields of papers citing papers by Meg Sleeper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Meg Sleeper, 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 Meg Sleeper Line = papers co-authored together Meg Sleeper links everyone, so they are left out of the graph.

All Works

About Meg Sleeper

Meg Sleeper is a scholar working on Cell Biology, Molecular Biology, Physiology, Complementary and alternative medicine and Genetics, having authored 5 papers that have together received 426 indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (4 papers), Ion channel regulation and function (2 papers), Adipose Tissue and Metabolism (2 papers), Metabolism, Diabetes, and Cancer (1 paper), Hemoglobin structure and function (1 paper), Epilepsy research and treatment (1 paper), Diet and metabolism studies (1 paper) and Cardiovascular and exercise physiology (1 paper). The work is most often cited by research in Cell Biology (244 citations), Physiology (279 citations), Orthopedics and Sports Medicine (86 citations), Complementary and alternative medicine (61 citations) and Rehabilitation (48 citations). Meg Sleeper has collaborated with scholars based in United States, Sweden and South Africa. Frequent co-authors include J. O. Holloszy, Juleen R. Zierath, Douglas A. Young, Harriet Wallberg‐Henriksson, Gregory D. Cartee, John A. Hawley, D. L. Costill, P. Darrell Neufer, W. J. Fink and M. G. Flynn. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Medicine & Science in Sports & Exercise and Mechanisms of Ageing and Development.

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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