Daniel Gamu

672 citations
22 papers · 535 · h-index 14

Impact in

Papers in

    • Muscle Physiology and Disorders 8
    • Ion channel regulation and function 4
    • Mitochondrial Function and Pathology 4
    • Adipose Tissue and Metabolism 9

Daniel Gamu

22 papers receiving 527 citations

Peers

Daniel Gamu
Comparison fields: 5 of 58
  • Physiology 261
  • Rehabilitation 61
  • Cell Biology 102
  • Complementary and alternative medicine 44
  • Orthopedics and Sports Medicine 37
Replace Igor L. Baptista with:
Igor L. Baptista Brazil
Camille R. Brightwell United States
Andreas Vigelsø Denmark
Lisbeth L. V. Møller Denmark
Gesa Santos Switzerland
Ira V. Röder Germany
Delphine Duteil France
Céline Chambon France
Tingqing Guo United States
Giulia Uguccioni Canada
Daniel Gamu relative to Igor L. Baptista Brazil Igor L. Baptista's profile →
Citations per field
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Igor L. Baptista · 1×
Citations per year

Countries citing papers authored by Daniel Gamu

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gamu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201770
2 201366
3 201665
4 201853
5 201349
6 201437
7 201831
8 201530
9 201927
10 201619
11 201717
12 201916
13 201515
14 201513
15 20239
16 20207
17 20243
18 20203
19 20172
20 20251

About Daniel Gamu

Daniel Gamu is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Surgery and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 535 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (9 papers), Muscle Physiology and Disorders (8 papers), Ion channel regulation and function (4 papers), Mitochondrial Function and Pathology (4 papers), Cardiomyopathy and Myosin Studies (3 papers), Pancreatic function and diabetes (3 papers), Muscle metabolism and nutrition (2 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Physiology (261 citations), Rehabilitation (61 citations), Cell Biology (102 citations), Complementary and alternative medicine (44 citations) and Orthopedics and Sports Medicine (37 citations). Daniel Gamu has collaborated with scholars based in Canada, Austria and United States. Frequent co-authors include A. Russell Tupling, Val A. Fajardo, Éric Bombardier, Joe Quadrilatero, Ian C. P. Smith, Chris Vigna, Jamie Whitfield, Lawrence L. Spriet, George J. F. Heigenhauser and Graham P. Holloway. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, The FASEB Journal, PLoS ONE, Obesity and Human Molecular Genetics.

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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