Marc Pilon

3.1k citations
83 papers · 2.4k · h-index 27

Impact in

  • Aging top 0.2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Biophysics top 2%
    • Spectroscopy Techniques in Biomedical and Chemical Research

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 36
    • Adipose Tissue and Metabolism 13

Marc Pilon

78 papers receiving 2.3k citations

Peers

Marc Pilon
Comparison fields: 5 of 118
  • Aging 750
  • Biophysics 190
  • Endocrine and Autonomic Systems 204
  • Biochemistry 207
  • Molecular Biology 1.2k
Replace Marta Artal‐Sanz with:
Marta Artal‐Sanz Spain
Yanxia Liu China
Stefano Maria Marino United States
William C. Burhans United States
Hugo Aguilaniu France
Alfred L. Fisher United States
Hyung‐Soon Yim South Korea
Shane L. Rea United States
Alaattin Kaya United States
Benoît Biteau United States
Marc Pilon relative to Marta Artal‐Sanz Spain Marta Artal‐Sanz's profile →
Citations per field
00.5×2×4×6×8.6×
Marta Artal‐Sanz · 1×
Citations per year

Countries citing papers authored by Marc Pilon

Since Specialization
Citations

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

Fields of papers citing papers by Marc Pilon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007277
2 2006142
3 201397
4 201395
5 198895
6 201685
7 200977
8 199772
9 201966
10 200265
11 199064
12 198862
13 201661
14 201959
15 198955
16 201148
17 201146
18 201842
19 201740
20 200039

About Marc Pilon

Marc Pilon is a scholar working on Aging, Physiology, Biochemistry, Molecular Biology and Endocrine and Autonomic Systems, having authored 83 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (36 papers), Adipose Tissue and Metabolism (13 papers), Lipid metabolism and biosynthesis (6 papers), Plant Stress Responses and Tolerance (6 papers), Social Policies and Family (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Birth, Development, and Health (5 papers) and Muscle Physiology and Disorders (4 papers). The work is most often cited by research in Aging (750 citations), Biophysics (190 citations), Endocrine and Autonomic Systems (204 citations), Biochemistry (207 citations) and Molecular Biology (1.2k citations). Marc Pilon has collaborated with scholars based in Sweden, United States and Canada. Frequent co-authors include Catarina Mörck, Manish Rauthan, Claes Axäng, Jan Borén, Annika M. K. Enejder, David A. Weisblat, Marcus Ståhlman, Christian Brackmann, Ranjan Devkota and Mario Ruiz. Their work appears in journals such as Developmental Biology, Proceedings of the National Academy of Sciences, Lipids in Health and Disease, PLoS Genetics and BMC Developmental Biology.

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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