Sybil Charrière

129 total papers · 1.5k total citations
42 papers, 485 citations indexed

About

Sybil Charrière is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Sybil Charrière has authored 42 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cardiology and Cardiovascular Medicine, 18 papers in Endocrinology, Diabetes and Metabolism and 17 papers in Surgery. Recurrent topics in Sybil Charrière's work include Lipoproteins and Cardiovascular Health (15 papers), Lipid metabolism and disorders (15 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers). Sybil Charrière is often cited by papers focused on Lipoproteins and Cardiovascular Health (15 papers), Lipid metabolism and disorders (15 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers). Sybil Charrière collaborates with scholars based in France, Canada and United States. Sybil Charrière's co-authors include Philippe Moulin, Mathilde Di Filippo, Sophie Bernard, Christophe Marçais, Agnès Sassolas, François Berthézène, Olivier Roth, J Beaune, André Sérusclat and Noël Peretti and has published in prestigious journals such as Gastroenterology, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Sybil Charrière

31 papers receiving 473 citations

Author Peers

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

Author						Papers	Cites
Sybil Charrière	231	165	128	127	65	42	485
Yuichiro Makita	114 0.5×	108 0.7×	126 1.0×	73 0.6×	27 0.4×	22	503
Yesari Karter	125 0.5×	68 0.4×	94 0.7×	72 0.6×	75 1.2×	29	491
Annelise Genoux	115 0.5×	131 0.8×	218 1.7×	109 0.9×	81 1.2×	34	529
M Liron	155 0.7×	204 1.2×	74 0.6×	157 1.2×	51 0.8×	27	483
Merrill Overturf	221 1.0×	88 0.5×	234 1.8×	100 0.8×	31 0.5×	31	535
Ting‐Wei Lee	177 0.8×	128 0.8×	220 1.7×	79 0.6×	41 0.6×	29	542
Tarek A. Abd El-Aziz	191 0.8×	87 0.5×	79 0.6×	109 0.9×	27 0.4×	29	458
Mohsen Firoozrai	121 0.5×	118 0.7×	65 0.5×	69 0.5×	51 0.8×	42	423
G M Berger	164 0.7×	190 1.2×	105 0.8×	249 2.0×	73 1.1×	34	507
Patrik Persson	106 0.5×	94 0.6×	123 1.0×	84 0.7×	30 0.5×	23	485

Countries citing papers authored by Sybil Charrière

Since Specialization

Citations

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

Fields of papers citing papers by Sybil Charrière

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sybil Charrière

This figure shows the co-authorship network connecting the top 25 collaborators of Sybil Charrière. A scholar is included among the top collaborators of Sybil Charrière 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 Sybil Charrière. Sybil Charrière 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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