C Taragnat

447 total citations
9 papers, 380 citations indexed

About

C Taragnat is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health. According to data from OpenAlex, C Taragnat has authored 9 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in C Taragnat's work include TGF-β signaling in diseases (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Bone Metabolism and Diseases (3 papers). C Taragnat is often cited by papers focused on TGF-β signaling in diseases (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Bone Metabolism and Diseases (3 papers). C Taragnat collaborates with scholars based in France, United Kingdom and Niger. C Taragnat's co-authors include Linda Nicol, Alan S. McNeilly, J.L. Crawford, Marie-Odile Faure, M. Berger, Stéphane Fabre, Angelina Bernier, A. S. McNeilly, B. Malpaux and Philippe Chemineau and has published in prestigious journals such as Reproduction, Journal of Endocrinology and Journal of Neuroendocrinology.

In The Last Decade

C Taragnat

9 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
C Taragnat France	8	140	125	104	92	89	9	380
Motoaki UMEZU Japan	16	145 1.0×	161 1.3×	223 2.1×	117 1.3×	162 1.8×	46	548
Douglas Shander United States	10	133 0.9×	153 1.2×	104 1.0×	51 0.6×	43 0.5×	12	480
Marion Spitschak Germany	12	113 0.8×	70 0.6×	165 1.6×	138 1.5×	107 1.2×	20	372
H. M. A. Meijs-Roelofs Netherlands	13	75 0.5×	241 1.9×	125 1.2×	62 0.7×	151 1.7×	40	545
Marc-Antoine Driancourt France	6	204 1.5×	217 1.7×	274 2.6×	61 0.7×	123 1.4×	7	509
Michael E. Rush United States	11	113 0.8×	155 1.2×	78 0.8×	32 0.3×	53 0.6×	25	398
Myoungkun Jeoung United States	17	283 2.0×	148 1.2×	83 0.8×	51 0.6×	85 1.0×	22	510
William V. Andrews United States	8	166 1.2×	358 2.9×	138 1.3×	51 0.6×	148 1.7×	8	572
Kevin D. Nusser United States	14	225 1.6×	158 1.3×	242 2.3×	136 1.5×	167 1.9×	23	559
Yongbum Koo South Korea	12	199 1.4×	234 1.9×	123 1.2×	48 0.5×	164 1.8×	17	545

Countries citing papers authored by C Taragnat

Since Specialization

Citations

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

Fields of papers citing papers by C Taragnat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C Taragnat

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

All Works

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9 of 9 papers shown

Faure, Marie-Odile, et al.. (2010). Dynamic regulation of pituitary mRNAs for bone morphogenetic protein (BMP) 4, BMP receptors, and activin/inhibin subunits in the ewe during the estrous cycle and in cultured pituitary cells. Journal of Endocrinology. 207(1). 55–65. 7 indexed citations

Nicol, Linda, et al.. (2008). Bone morphogenetic protein-4 interacts with activin and GnRH to modulate gonadotrophin secretion in LβT2 gonadotrophs. Journal of Endocrinology. 196(3). 497–507. 40 indexed citations

Faure, Marie-Odile, et al.. (2005). BMP-4 inhibits follicle-stimulating hormone secretion in ewe pituitary. Journal of Endocrinology. 186(1). 109–121. 88 indexed citations

Taragnat, C, et al.. (2004). Activin and inhibin receptor gene expression in the ewe pituitary throughout the oestrous cycle. Journal of Endocrinology. 182(1). 55–68. 8 indexed citations

McNeilly, Alan S., et al.. (2003). The differential secretion of FSH and LH: regulation through genes, feedback and packaging.. PubMed. 61. 463–76. 137 indexed citations

Malpaux, B., et al.. (2002). Genetic variability in melatonin secretion originates in the number of pinealocytes in sheep. Journal of Endocrinology. 172(2). 397–404. 22 indexed citations

Gauthier, Christophe, et al.. (2001). Stimulating Effect of Glycoprotein Hormone Free α‐Subunit and Daily Gonadotropin Releasing Hormone Treatment on Prolactin Release from 50‐Day Ovine Foetal Pituitary Explants. Journal of Neuroendocrinology. 13(2). 199–208. 3 indexed citations

Taragnat, C, et al.. (1998). Gonadotrophin storage patterns in the ewe during the oestrous cycle or after long-term treatment with a GnRH agonist. Journal of Endocrinology. 156(1). 149–157. 28 indexed citations

Taragnat, C, et al.. (1988). Preliminary characterization, androgen-dependence and ontogeny of an abundant protein from mouse vas deferens. Reproduction. 83(2). 835–842. 47 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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