Carole Auger

64 total papers · 1.6k total citations
31 papers, 753 citations indexed

About

Carole Auger is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Carole Auger has authored 31 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Carole Auger's work include Pituitary Gland Disorders and Treatments (7 papers), Hippo pathway signaling and YAP/TAZ (4 papers) and Axon Guidance and Neuronal Signaling (4 papers). Carole Auger is often cited by papers focused on Pituitary Gland Disorders and Treatments (7 papers), Hippo pathway signaling and YAP/TAZ (4 papers) and Axon Guidance and Neuronal Signaling (4 papers). Carole Auger collaborates with scholars based in France, Switzerland and United States. Carole Auger's co-authors include Gérald Raverot, Jacqueline Trouillas, Anne Wierinckx, Joël Lachuer, Emmanuel Jouanneau, J. C. Monier, Jérôme Honnorat, Mahnaz Moradi‐Améli, Nicole Fabien and Michel Jan and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Carole Auger

31 papers receiving 737 citations

Author Peers

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

Author						Papers	Cites
Carole Auger	369	207	205	174	113	31	753
Shunji Yunoue	202 0.5×	124 0.6×	237 1.2×	188 1.1×	50 0.4×	26	730
John Bicknell	461 1.2×	114 0.6×	320 1.6×	199 1.1×	98 0.9×	18	851
Brandon Liebelt	155 0.4×	131 0.6×	179 0.9×	144 0.8×	59 0.5×	27	695
Chheng-Orn Evans	309 0.8×	75 0.4×	286 1.4×	111 0.6×	74 0.7×	15	715
Takashi Kokunai	123 0.3×	119 0.6×	208 1.0×	173 1.0×	80 0.7×	55	664
Michael Woloschak	607 1.6×	127 0.6×	336 1.6×	105 0.6×	34 0.3×	23	845
S Takai	287 0.8×	158 0.8×	312 1.5×	24 0.1×	91 0.8×	21	744
Toru Tateno	507 1.4×	291 1.4×	162 0.8×	130 0.7×	38 0.3×	32	736
Junji Iwasaki	219 0.6×	255 1.2×	223 1.1×	109 0.6×	278 2.5×	38	903
Alberto Chervín	579 1.6×	186 0.9×	244 1.2×	114 0.7×	34 0.3×	24	801

Countries citing papers authored by Carole Auger

Since Specialization

Citations

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

Fields of papers citing papers by Carole Auger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carole Auger

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