J Jaillard

61 papers receiving 405 citations

Peers

J Jaillard
Comparison fields: 5 of 76
  • Biochemistry 70
  • Endocrinology, Diabetes and Metabolism 156
  • Nutrition and Dietetics 129
  • Clinical Biochemistry 30
  • Cardiology and Cardiovascular Medicine 98
Replace Havel Rj with:
Havel Rj United States
G Sézille France
James T. Hamlin United States
J. Beitz Germany
Maryvonne Ciavatti France
G Di Maro Italy
H B Brewer United States
Bok‐Cheng Mortimer Australia
M Kohout Czechia
R. Biegler Germany
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Citations per year

Countries citing papers authored by J Jaillard

Since Specialization
Citations

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

Fields of papers citing papers by J Jaillard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198459
2 198047
3 198641
4 198337
5 197729
6 197822
7 198022
8 197819
9
Improved serum lipoprotein electrophoresis procedure in polyacrylamide gradient gel.
197511
10 197410
11
[Blood fatty acids in various pathologic conditions. Apropos of 156 observations].
196710
12 19728
13 19738
14 19787
15
[Erucic acid metabolism in man and animals: myocardial extraction in man after an overload of rapeseed oil and tissue lipids in the rat after an overload of trierucin].
19737
16 19756
17 19726
18 19735
19
[Metabolic study of 3 lipid emulsions used parenteral feedings. I. Exploration in vivo in the minipig].
19755
20 19705

About J Jaillard

J Jaillard is a scholar working on Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics, Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine, having authored 68 papers that have together received 460 indexed citations. Recurring topics across this work include Fatty Acid Research and Health (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Diet and metabolism studies (8 papers), Metabolism and Genetic Disorders (7 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Cancer, Lipids, and Metabolism (6 papers), Adipose Tissue and Metabolism (6 papers) and Lipid metabolism and biosynthesis (5 papers). The work is most often cited by research in Biochemistry (70 citations), Endocrinology, Diabetes and Metabolism (156 citations), Nutrition and Dietetics (129 citations), Clinical Biochemistry (30 citations) and Cardiology and Cardiovascular Medicine (98 citations). J Jaillard has collaborated with scholars based in France and Switzerland. Frequent co-authors include G Sézille, J Rouffy, P Dewailly, A. Nouvelot, Jean‐Charles Fruchart, H Warembourg, G Biserte, P Scherpereel, Elisa Campos and Solène Moulin. Their work appears in journals such as Clinica Chimica Acta, Annals of Nutrition and Metabolism, Atherosclerosis, The American Journal of Medicine and Clinical 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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