M. Desautels

49 papers receiving 1.4k citations

Peers

M. Desautels
Comparison fields: 5 of 83
  • Cell Biology 632
  • Physiology 933
  • Rehabilitation 154
  • Clinical Biochemistry 103
  • Endocrine and Autonomic Systems 91
Replace Gina Z. Lu with:
Gina Z. Lu United States
Françoise Kühne Switzerland
Wendy S. Pascoe Australia
Andreas M. Fritzen Denmark
Z. Gori Italy
L. Herberg Germany
Ifeanyi Arinze United States
Shawn W. Flanagan United States
Ken Shirato Japan
Charles D. Kochakian United States
M. Desautels relative to Gina Z. Lu United States Gina Z. Lu's profile →
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Citations per year

Countries citing papers authored by M. Desautels

Since Specialization
Citations

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

Fields of papers citing papers by M. Desautels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982384
2 1978179
3 1978157
4 1982126
5 1979109
6 1982104
7 198653
8 198041
9 200135
10 198525
11 200121
12 198720
13 200919
14 200218
15 199415
16 198815
17 199414
18 199113
19 199313
20 198813

About M. Desautels

M. Desautels is a scholar working on Physiology, Cell Biology, Molecular Biology, Rehabilitation and Epidemiology, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (37 papers), Muscle metabolism and nutrition (21 papers), Mitochondrial Function and Pathology (13 papers), Diet and metabolism studies (11 papers), Exercise and Physiological Responses (8 papers), Metabolism and Genetic Disorders (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Fungal and yeast genetics research (4 papers). The work is most often cited by research in Cell Biology (632 citations), Physiology (933 citations), Rehabilitation (154 citations), Clinical Biochemistry (103 citations) and Endocrine and Autonomic Systems (91 citations). M. Desautels has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Jean Himms‐Hagen, Marc E. Tischler, AL Goldberg, Abraham Goldberg, Alfred L. Goldberg, Gloria Zaror‐Behrens, Sean M. Hemmingsen, Carolyn M. Slupsky, Lawrence P. McIntosh and Karl B. Freeman. Their work appears in journals such as Canadian Journal of Physiology and Pharmacology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Biochemistry and Cell Biology, Journal of Biological Chemistry and American Journal of Physiology-Endocrinology and Metabolism.

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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