Gérald Chêne

418 total citations
7 papers, 296 citations indexed

About

Gérald Chêne is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Gérald Chêne has authored 7 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Oncology. Recurrent topics in Gérald Chêne's work include Peroxisome Proliferator-Activated Receptors (2 papers), Fatty Acid Research and Health (2 papers) and Urinary Tract Infections Management (1 paper). Gérald Chêne is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (2 papers), Fatty Acid Research and Health (2 papers) and Urinary Tract Infections Management (1 paper). Gérald Chêne collaborates with scholars based in France, United States and Canada. Gérald Chêne's co-authors include Marc Dubourdeau, Nathalie Vergnolle, Perrine Rousset, Ian Spreadbury, Stephen Vanner, François Tercé, Pauline Le Faouder, Nicolas Cénac, Justine Bertrand‐Michel and Vincent Baillif and has published in prestigious journals such as International Journal of Molecular Sciences, European Journal of Pharmacology and Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids.

In The Last Decade

Gérald Chêne

7 papers receiving 294 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Gérald Chêne France	5	116	68	56	45	44	7	296
Youyou Li China	8	132 1.1×	20 0.3×	25 0.4×	66 1.5×	37 0.8×	19	385
U. Hoppe Germany	11	188 1.6×	36 0.5×	53 0.9×	82 1.8×	44 1.0×	18	533
Vasiliki Koika Greece	14	219 1.9×	46 0.7×	10 0.2×	67 1.5×	32 0.7×	26	506
N. Madhavi India	11	139 1.2×	170 2.5×	98 1.8×	30 0.7×	24 0.5×	14	405
Riham S. Said Egypt	13	191 1.6×	44 0.6×	16 0.3×	40 0.9×	77 1.8×	19	554
Ruhi Uyar Türkiye	13	117 1.0×	50 0.7×	9 0.2×	27 0.6×	24 0.5×	35	391
Weiwei Xu China	6	143 1.2×	30 0.4×	13 0.2×	35 0.8×	27 0.6×	11	355
Hasnaa Yaigoub China	5	163 1.4×	24 0.4×	13 0.2×	39 0.9×	36 0.8×	8	352
D Fagan United States	4	98 0.8×	25 0.4×	85 1.5×	39 0.9×	35 0.8×	5	388
Hasna Tirichen China	4	156 1.3×	24 0.4×	13 0.2×	39 0.9×	36 0.8×	7	342

Countries citing papers authored by Gérald Chêne

Since Specialization

Citations

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

Fields of papers citing papers by Gérald Chêne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gérald Chêne

This figure shows the co-authorship network connecting the top 25 collaborators of Gérald Chêne. A scholar is included among the top collaborators of Gérald Chêne 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 Gérald Chêne. Gérald Chêne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

Chatelais, Mathias, et al.. (2024). Impact of Methylated Cyclodextrin KLEPTOSE® CRYSMEB on Inflammatory Responses in Human In Vitro Models. International Journal of Molecular Sciences. 25(17). 9748–9748. 1 indexed citations

Chêne, Gérald, et al.. (2015). A multispecies Lactobacillus- and Bifidobacterium-containing probiotic mixture attenuates body weight gain and insulin resistance after a short-term challenge with a high-fat diet in C57/BL6J mice. PharmaNutrition. 3(3). 101–107. 18 indexed citations

Chêne, Gérald, Marc Dubourdeau, B. Corman, et al.. (2013). Relevance of the cyclophosphamide-induced cystitis model for pharmacological studies targeting inflammation and pain of the bladder. European Journal of Pharmacology. 707(1-3). 32–40. 66 indexed citations

Faouder, Pauline Le, Vincent Baillif, Ian Spreadbury, et al.. (2013). LC–MS/MS method for rapid and concomitant quantification of pro-inflammatory and pro-resolving polyunsaturated fatty acid metabolites. Journal of Chromatography B. 932. 123–133. 159 indexed citations

Dubourdeau, Marc, Gérald Chêne, Agnès Coste, et al.. (2008). Opposite roles of STAT and PPARgamma in the induction of p21WAF1 expression by IL-13 in human peripheral blood monocytes.. PubMed. 19(4). 156–65. 4 indexed citations

Chêne, Gérald, Marc Dubourdeau, Laure Escoubet‐Lozach, et al.. (2007). n-3 and n-6 Polyunsaturated fatty acids induce the expression of COX-2 via PPARγ activation in human keratinocyte HaCaT cells. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1771(5). 576–589. 41 indexed citations

Berry, Antoine, Gérald Chêne, Françoise Benoit‐Vical, et al.. (2005). EX VIVO AND IN VITRO IMPAIRMENT OF CD36 EXPRESSION AND TUMOR NECROSIS FACTOR-α PRODUCTION IN HUMAN MONOCYTES IN RESPONSE TO PLASMODIUM FALCIPARUM–PARASITIZED ERYTHROCYTES. Journal of Parasitology. 91(2). 316–322. 7 indexed citations

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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