Marc Pilon
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
- Aging 39
- Genetics, Aging, and Longevity in Model Organisms 39
- Co-authors
- Catarina Mörck (11 shared papers)Manish Rauthan (11 shared papers)Claes Axäng (7 shared papers)Jan Borén (15 shared papers)Annika Enejder (4 shared papers)David A. Weisblat (3 shared papers)Christian Brackmann (3 shared papers)Marcus Ståhlman (7 shared papers)
- Journals
- Developmental Biology (5 papers)Proceedings of the National Academy of Sciences (4 papers)Lipids in Health and Disease (4 papers)BMC Developmental Biology (4 papers)PLoS Genetics (4 papers)
- Partner nations
- SwedenUnited StatesCanada
In The Last Decade
Marc Pilon
78 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 112
- Aging 767
- Biophysics 187
- Endocrine and Autonomic Systems 216
- Biochemistry 192
- Physiology 429
Countries citing papers authored by Marc Pilon
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
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.
All Works
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 272 | |
| 2 | 2006 | 134 | |
| 3 | 2013 | 95 | |
| 4 | 2013 | 94 | |
| 5 | 2016 | 78 | |
| 6 | 2009 | 74 | |
| 7 | 1988 | 70 | |
| 8 | 1997 | 70 | |
| 9 | 2002 | 61 | |
| 10 | 2016 | 59 | |
| 11 | 2019 | 58 | |
| 12 | 2019 | 52 | |
| 13 | 1990 | 48 | |
| 14 | 2011 | 47 | |
| 15 | 2011 | 43 | |
| 16 | 1988 | 43 | |
| 17 | 1989 | 41 | |
| 18 | 2000 | 40 | |
| 19 | 2018 | 38 | |
| 20 | 2017 | 37 |
About Marc Pilon
Marc Pilon is a scholar working on Aging, Molecular Biology, Physiology, Plant Science and Pediatrics, Perinatology and Child Health, having authored 81 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (39 papers), Adipose Tissue and Metabolism (14 papers), Plant Stress Responses and Tolerance (7 papers), Birth, Development, and Health (7 papers), Lipid metabolism and biosynthesis (6 papers), Social Policies and Family (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). The work is most often cited by research in Aging (767 citations), Biophysics (187 citations), Endocrine and Autonomic Systems (216 citations), Biochemistry (192 citations) and Physiology (429 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 Enejder, David A. Weisblat, Christian Brackmann, Marcus Ståhlman, Ranjan Devkota and Thomas Hellerer. Their work appears in journals such as Developmental Biology, Proceedings of the National Academy of Sciences, Lipids in Health and Disease, BMC Developmental Biology and PLoS 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.