G Sézille

142 total papers · 530 total citations
64 papers, 443 citations indexed

About

G Sézille is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics. According to data from OpenAlex, G Sézille has authored 64 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Endocrinology, Diabetes and Metabolism and 15 papers in Nutrition and Dietetics. Recurrent topics in G Sézille's work include Fatty Acid Research and Health (13 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers) and Metabolism and Genetic Disorders (8 papers). G Sézille is often cited by papers focused on Fatty Acid Research and Health (13 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers) and Metabolism and Genetic Disorders (8 papers). G Sézille collaborates with scholars based in France and Switzerland. G Sézille's co-authors include J Jaillard, P Dewailly, A. Nouvelot, Jean‐Charles Fruchart, J C Fruchart, G Biserte, Solène Moulin, J.M. Bourre, H Warembourg and P Scherpereel and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Chromatography A and Clinical Chemistry.

In The Last Decade

G Sézille

58 papers receiving 386 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
G Sézille	141	137	131	101	95	64	443
J Jaillard	129 0.9×	108 0.8×	156 1.2×	110 1.1×	101 1.1×	68	460
T Zemplenyi	70 0.5×	152 1.1×	74 0.6×	85 0.8×	105 1.1×	41	484
Martina Hüttl	65 0.5×	144 1.1×	140 1.1×	96 1.0×	75 0.8×	49	485
J. Beitz	187 1.3×	84 0.6×	127 1.0×	161 1.6×	56 0.6×	47	402
J Válek	150 1.1×	74 0.5×	177 1.4×	78 0.8×	132 1.4×	42	392
George Fukayama	190 1.3×	83 0.6×	104 0.8×	88 0.9×	140 1.5×	24	474
Rabban Mangat	101 0.7×	109 0.8×	102 0.8×	78 0.8×	128 1.3×	28	413
Bagdade Jd	74 0.5×	108 0.8×	160 1.2×	141 1.4×	92 1.0×	20	405
D Grafnetter	70 0.5×	79 0.6×	109 0.8×	84 0.8×	75 0.8×	55	425
Rie Matsumori	118 0.8×	70 0.5×	88 0.7×	87 0.9×	55 0.6×	28	449

Countries citing papers authored by G Sézille

Since Specialization

Citations

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

Fields of papers citing papers by G Sézille

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Sézille

This figure shows the co-authorship network connecting the top 25 collaborators of G Sézille. A scholar is included among the top collaborators of G Sézille based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G Sézille. G Sézille is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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