Jérôme N. Feige

11.0k citations
59 papers · 7.8k indexed · 3 hit papers · h-index 32

Impact in

Papers in

Jérôme N. Feige

57 papers receiving 7.7k citations

Hit Papers

AMPK regulates energy expenditure by modulating NAD+ metabolism and SIRT1 activity 2009 · 2.6k citations
2.6k200620262012201950010001.5k2.0k2.5k

Peers

Jérôme N. Feige
Comparison fields: 5 of 138
  • Geriatrics and Gerontology 1.8k
  • Aging 342
  • Physiology 3.3k
  • Physiology 310
  • Molecular Biology 4.2k
Replace Anu Kauppinen with:
Anu Kauppinen Finland
Shino Nemoto United States
Matthew D. Hirschey United States
Michael N. Sack United States
Richard C. Scarpulla United States
Joris Hoeks Netherlands
Zachary Gerhart‐Hines Denmark
Maria M. Mihaylova United States
Konstantinos Palikaras Greece
Mahesh P. Gupta United States
Jérôme N. Feige relative to Anu Kauppinen Finland Anu Kauppinen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jérôme N. Feige

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme N. Feige

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jérôme N. Feige. 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 Jérôme N. Feige. The network helps show where Jérôme N. Feige may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20242
4 20238
5 202310
6 20227
7 202215
8 20212
9 202129
10 202112
11 202153
12 202140
13 202031
14 2019225
15 201839
16 201273
17 200924
18
AMPK regulates energy expenditure by modulating NAD+ metabolism and SIRT1 activity
Hit paper breakdown →
20092642
19 2008130
20 2005174

About Jérôme N. Feige

Jérôme N. Feige is a scholar working on Geriatrics and Gerontology, Physiology, Aging, Molecular Biology and Cell Biology, having authored 59 papers that have together received 7.8k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (30 papers), Muscle Physiology and Disorders (17 papers), Peroxisome Proliferator-Activated Receptors (12 papers), Nutrition and Health in Aging (11 papers), Muscle metabolism and nutrition (8 papers), Diet and metabolism studies (7 papers), Metabolism, Diabetes, and Cancer (7 papers) and Sirtuins and Resveratrol in Medicine (6 papers). The work is most often cited by research in Geriatrics and Gerontology (1.8k citations), Aging (342 citations), Physiology (3.3k citations), Physiology (310 citations) and Molecular Biology (4.2k citations). Jérôme N. Feige has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Johan Auwerx, Béatrice Desvergne, Carles Cantó, Marie Lagouge, Jill C. Milne, Peter J. Elliott, Lilia G. Noriega, Zachary Gerhart‐Hines, Pere Puigserver and Laurent Gelman. Their work appears in journals such as Cell Metabolism, Journal of Biological Chemistry, Molecular and Cellular Biology, Nature Communications and Trends in Cell 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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