Daniel Gamu

653 total citations
22 papers, 519 citations indexed

About

Daniel Gamu is a scholar working on Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel Gamu has authored 22 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Physiology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel Gamu's work include Adipose Tissue and Metabolism (10 papers), Muscle Physiology and Disorders (8 papers) and Mitochondrial Function and Pathology (4 papers). Daniel Gamu is often cited by papers focused on Adipose Tissue and Metabolism (10 papers), Muscle Physiology and Disorders (8 papers) and Mitochondrial Function and Pathology (4 papers). Daniel Gamu collaborates with scholars based in Canada, Austria and United States. Daniel Gamu's co-authors include A. Russell Tupling, Val A. Fajardo, Éric Bombardier, Joe Quadrilatero, Ian C. P. Smith, Chris Vigna, Graham P. Holloway, Luc J. C. van Loon, Lawrence L. Spriet and Jamie Whitfield and has published in prestigious journals such as PLoS ONE, Biochemical Journal and The FASEB Journal.

In The Last Decade

Daniel Gamu

21 papers receiving 511 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Gamu Canada 14 312 272 109 90 65 22 519
Igor L. Baptista Brazil 15 389 1.2× 218 0.8× 186 1.7× 53 0.6× 100 1.5× 27 598
Lumme Kadaja Estonia 12 388 1.2× 176 0.6× 91 0.8× 77 0.9× 33 0.5× 18 536
Annabel Chee Australia 16 493 1.6× 358 1.3× 138 1.3× 51 0.6× 104 1.6× 28 696
Lena Willkomm Germany 11 176 0.6× 145 0.5× 126 1.2× 43 0.5× 88 1.4× 12 439
Lisbeth L. V. Møller Denmark 14 385 1.2× 338 1.2× 127 1.2× 26 0.3× 89 1.4× 19 628
Ira V. Röder Germany 10 626 2.0× 279 1.0× 174 1.6× 49 0.5× 75 1.2× 10 788
Delphine Duteil France 12 534 1.7× 414 1.5× 139 1.3× 45 0.5× 75 1.2× 18 828
Giulia Uguccioni Canada 8 399 1.3× 380 1.4× 103 0.9× 24 0.3× 91 1.4× 8 581
C Eric Butz United States 4 399 1.3× 240 0.9× 148 1.4× 27 0.3× 25 0.4× 4 651
Céline Chambon France 7 358 1.1× 276 1.0× 127 1.2× 31 0.3× 49 0.8× 7 579

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-authorship network of co-authors of Daniel Gamu

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Gamu. A scholar is included among the top collaborators of Daniel Gamu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Gamu. Daniel Gamu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gibson, William T., Sanne Janssen, B. Adair, et al.. (2025). Minimally Humanized Ezh2 Exon-18 Mouse Cell Lines Validate Preclinical CRISPR/Cas9 Approach to Treat Weaver Syndrome. Human Gene Therapy. 36(5-6). 618–627.
2.
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Gamu, Daniel, et al.. (2024). Maintenance of thermogenic adipose tissues despite loss of the H3K27 acetyltransferases p300 or CBP. American Journal of Physiology-Endocrinology and Metabolism. 327(4). E459–E468. 2 indexed citations
4.
Low, Marcela, Lin Tung, Farshad Babaeijandaghi, et al.. (2023). Activation of β-catenin in mesenchymal progenitors leads to muscle mass loss. Developmental Cell. 58(6). 489–505.e7. 9 indexed citations
5.
Gamu, Daniel & William T. Gibson. (2020). Reciprocal skeletal phenotypes of PRC2-related overgrowth and Rubinstein–Taybi syndromes: potential role of H3K27 modifications. Molecular Case Studies. 6(4). a005058–a005058. 3 indexed citations
6.
Fu, Minghua, Éric Bombardier, Daniel Gamu, & A. Russell Tupling. (2020). Phospholamban and sarcolipin prevent thermal inactivation of sarco(endo)plasmic reticulum Ca2+-ATPases. Biochemical Journal. 477(21). 4281–4294. 6 indexed citations
7.
Gamu, Daniel, et al.. (2019). The sarcoplasmic reticulum and SERCA: a nexus for muscular adaptive thermogenesis. Applied Physiology Nutrition and Metabolism. 45(1). 1–10. 27 indexed citations
8.
Dufresne, Sébastien S., Anteneh Argaw, Dounia Hamoudi, et al.. (2018). Genetic deletion of muscle RANK or selective inhibition of RANKL is not as effective as full-length OPG-fc in mitigating muscular dystrophy. Acta Neuropathologica Communications. 6(1). 31–31. 50 indexed citations
9.
Fajardo, Val A., et al.. (2018). Sarcolipin deletion in mdx mice impairs calcineurin signalling and worsens dystrophic pathology. Human Molecular Genetics. 27(23). 4094–4102. 31 indexed citations
10.
Fajardo, Val A., Daniel Gamu, Andrew Mitchell, et al.. (2017). Sarcolipin deletion exacerbates soleus muscle atrophy and weakness in phospholamban overexpressing mice. PLoS ONE. 12(3). e0173708–e0173708. 17 indexed citations
11.
Whitfield, Jamie, Daniel Gamu, George J. F. Heigenhauser, et al.. (2017). Beetroot Juice Increases Human Muscle Force without Changing Ca2+-Handling Proteins. Medicine & Science in Sports & Exercise. 49(10). 2016–2024. 68 indexed citations
12.
Gamu, Daniel, et al.. (2017). Sarcolipin expression is not required for the mitochondrial enzymatic response to physical activity or diet. Journal of Applied Physiology. 122(5). 1276–1283. 2 indexed citations
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MacPherson, Rebecca E. K., Daniel Gamu, Scott Frendo‐Cumbo, et al.. (2016). Sarcolipin knockout mice fed a high‐fat diet exhibit altered indices of adipose tissue inflammation and remodeling. Obesity. 24(7). 1499–1505. 18 indexed citations
15.
Dufresne, Sébastien S., Nicolas A. Dumont, Val A. Fajardo, et al.. (2016). Muscle RANK is a key regulator of Ca2+ storage, SERCA activity, and function of fast-twitch skeletal muscles. American Journal of Physiology-Cell Physiology. 310(8). C663–C672. 63 indexed citations
16.
Mitchell, Andrew, Ian C. P. Smith, Daniel Gamu, et al.. (2015). Functional, morphological, and apoptotic alterations in skeletal muscle of ARC deficient mice. APOPTOSIS. 20(3). 310–326. 14 indexed citations
17.
Fajardo, Val A., Éric Bombardier, Elliott M. McMillan, et al.. (2015). Phospholamban overexpression in mice causes a centronuclear myopathy-like phenotype. Disease Models & Mechanisms. 8(8). 999–1009. 30 indexed citations
18.
Gamu, Daniel, Éric Bombardier, Ian C. P. Smith, Val A. Fajardo, & A. Russell Tupling. (2014). Sarcolipin Provides a Novel Muscle-Based Mechanism for Adaptive Thermogenesis. Exercise and Sport Sciences Reviews. 42(3). 136–142. 36 indexed citations
19.
Fajardo, Val A., Éric Bombardier, Chris Vigna, et al.. (2013). Co-Expression of SERCA Isoforms, Phospholamban and Sarcolipin in Human Skeletal Muscle Fibers. PLoS ONE. 8(12). e84304–e84304. 64 indexed citations
20.
Bombardier, Éric, Ian C. P. Smith, Daniel Gamu, et al.. (2013). Sarcolipin trumps β‐adrenergic receptor signaling as the favored mechanism for muscle‐based diet‐induced thermogenesis. The FASEB Journal. 27(9). 3871–3878. 48 indexed citations

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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