Jérôme Aubert

2.9k citations
26 papers · 2.3k · h-index 21

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 5
    • Pluripotent Stem Cells Research 2
    • Adipokines, Inflammation, and Metabolic Diseases 6

Jérôme Aubert

26 papers receiving 2.3k citations

Peers

Jérôme Aubert
Comparison fields: 5 of 93
  • Dermatology 941
  • Developmental Neuroscience 115
  • Cell Biology 313
  • Pharmacology 151
  • Sensory Systems 82
Replace Yu Ri Kim with:
Yu Ri Kim South Korea
Kyungsook Jung South Korea
Thomas Brzoska Germany
Ferda Cevikbas United States
Fu Han China
Metin Artuc Germany
Zuyi Weng United States
Jai Youl Ro South Korea
Federico De Marco Italy
J. Lakshmanan United States
Jérôme Aubert relative to Yu Ri Kim South Korea Yu Ri Kim's profile →
Citations per field
00.5×7.2×
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Citations per year

Countries citing papers authored by Jérôme Aubert

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Aubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002269
2 2011227
3 2011221
4 2003218
5 2015201
6 2011183
7 1997146
8 2011119
9 1999111
10 200191
11 199789
12 199768
13 201461
14 201455
15 200050
16 199850
17 199635
18 201833
19 200428
20 199125

About Jérôme Aubert

Jérôme Aubert is a scholar working on Molecular Biology, Epidemiology, Dermatology, Physiology and Cell Biology, having authored 26 papers that have together received 2.3k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Acne and Rosacea Treatments and Effects (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Pluripotent Stem Cells Research (2 papers), Dermatologic Treatments and Research (2 papers), Dermatology and Skin Diseases (2 papers) and melanin and skin pigmentation (2 papers). The work is most often cited by research in Dermatology (941 citations), Developmental Neuroscience (115 citations), Cell Biology (313 citations), Pharmacology (151 citations) and Sensory Systems (82 citations). Jérôme Aubert has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Gérard Ailhaud, Austin Smith, Raymond Négrel, Johannes J. Voegel, Ian Chambers, Michel Rivier, Martin Steinhoff, Mathias Sulk, Paweł Nowak and Ferda Cevikbas. Their work appears in journals such as Journal of Investigative Dermatology, Journal of Dermatological Science, Journal of Investigative Dermatology Symposium Proceedings, Biochemical and Biophysical Research Communications and Biochemical Journal.

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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