Philippe Gambert

8.3k citations
160 papers · 7.0k · h-index 50

Impact in

Papers in

Philippe Gambert

160 papers receiving 6.8k citations

Peers

Philippe Gambert
Comparison fields: 5 of 126
  • Endocrinology, Diabetes and Metabolism 1.8k
  • Biochemistry 469
  • Surgery 2.7k
  • Geriatrics and Gerontology 176
  • Cancer Research 705
Replace Anne Athias with:
Anne Athias France
Moti L. Kashyap United States
Angela Pirillo Italy
Yuriy K. Bashmakov Russia
Tony Hayek Israel
Liqing Yu United States
Alexandros D. Tselepis Greece
MacRae F. Linton United States
Marian C. Cheung United States
Teake Kooistra Netherlands
Philippe Gambert relative to Anne Athias France Anne Athias's profile →
Citations per field
00.5×1.5×2.3×
Anne Athias · 1×
Citations per year

Countries citing papers authored by Philippe Gambert

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Gambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 160 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004264
2 2003225
3 1998184
4 1999176
5 2005173
6 2004155
7
Induction of apoptosis in endothelial cells treated with cholesterol oxides.
1996154
8 2004141
9 2006117
10 1993114
11 1998113
12 2003112
13 1998111
14 2000111
15 2000110
16 2002107
17 2006102
18 2000102
19 198992
20 199790

About Philippe Gambert

Philippe Gambert is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Cancer Research and Immunology, having authored 160 papers that have together received 7.0k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (41 papers), Cholesterol and Lipid Metabolism (35 papers), Cancer, Lipids, and Metabolism (26 papers), Lipoproteins and Cardiovascular Health (24 papers), Atherosclerosis and Cardiovascular Diseases (15 papers), Antioxidant Activity and Oxidative Stress (12 papers), Metabolomics and Mass Spectrometry Studies (10 papers) and Peroxisome Proliferator-Activated Receptors (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.8k citations), Biochemistry (469 citations), Surgery (2.7k citations), Geriatrics and Gerontology (176 citations) and Cancer Research (705 citations). Philippe Gambert has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Laurent Lagrost, Anne Athias, Christian Lallemant, Gérard Lizard, Laurence Duvillard, Bruno Vergès, Serge Monier, Dominique Néel, E Florentin and Ginette Bessède. Their work appears in journals such as Journal of Lipid Research, Arteriosclerosis Thrombosis and Vascular Biology, Atherosclerosis, Clinica Chimica Acta and Journal of Biological Chemistry.

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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