L. Perségol

493 citations
14 papers · 409 · h-index 10

Impact in

Papers in

L. Perségol

13 papers receiving 399 citations

Peers

L. Perségol
Comparison fields: 5 of 48
  • Endocrinology, Diabetes and Metabolism 240
  • Clinical Biochemistry 64
  • Biochemistry 31
  • Surgery 190
  • Biochemistry 27
Replace Valérie Guyard‐Dangremont with:
Valérie Guyard‐Dangremont France
Mark S. Borja United States
G. J. Miller United Kingdom
Eva Xepapadaki Greece
Nongnuch Settasatian Thailand
Shiyin Long China
Olivier Scruel France
L.M. Scheek Netherlands
Gert-Jan Botma Netherlands
Fu-You Jin United States
L. Perségol relative to Valérie Guyard‐Dangremont France Valérie Guyard‐Dangremont's profile →
Citations per field
00.5×4.2×
Valérie Guyard‐Dangremont · 1×
Citations per year

Countries citing papers authored by L. Perségol

Since Specialization
Citations

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

Fields of papers citing papers by L. Perségol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 200684
2 199467
3 199967
4 200745
5 200736
6 199731
7 201725
8 199418
9 201410
10 20139
11 20008
12 20146
13
Influence of dietary lipids and linoleic acid amounts on fatty acid content and composition of pig serum lipoproteins.
19873
14 20090

About L. Perségol

L. Perségol is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Surgery, Molecular Biology and Biochemistry, having authored 14 papers that have together received 409 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Paraoxonase enzyme and polymorphisms (4 papers), Antioxidant Activity and Oxidative Stress (4 papers), Cholesterol and Lipid Metabolism (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Lipoproteins and Cardiovascular Health (2 papers), Metabolism and Genetic Disorders (1 paper) and Sphingolipid Metabolism and Signaling (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (240 citations), Clinical Biochemistry (64 citations), Biochemistry (31 citations), Surgery (190 citations) and Biochemistry (27 citations). L. Perségol has collaborated with scholars based in France and Australia. Frequent co-authors include Philippe Gambert, Bruno Vergès, Laurence Duvillard, Laurent Lagrost, Anne Athias, Matthieu Foissac, Christian Lallemant, Ginette Bessède, Michel Farnier and Catherine Desrumaux. Their work appears in journals such as Journal of Lipid Research, Diabetologia, Analytical Biochemistry, Journal of Biological Chemistry and Heart and Vessels.

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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