E.M. Chambaz

6.9k citations
194 papers · 6.0k indexed · h-index 47

Impact in

Papers in

E.M. Chambaz

193 papers receiving 5.8k citations

Peers

E.M. Chambaz
Comparison fields: 5 of 123
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Molecular Biology 3.9k
  • Behavioral Neuroscience 195
  • Biochemistry 342
  • Cell Biology 674
Replace Claude Cochet with:
Claude Cochet France
Werner Schlegel Switzerland
O M Rosen United States
Michio Ui Japan
David J. Shapiro United States
Philip Feigelson United States
Mitsuhiro Okamoto Japan
Gary L. Firestone United States
Wayne B. Anderson United States
Donal A. Walsh United States
E.M. Chambaz relative to Claude Cochet France Claude Cochet's profile →
Citations per field
00.5×3.3×
Claude Cochet · 1×
Citations per year

Countries citing papers authored by E.M. Chambaz

Since Specialization
Citations

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

Fields of papers citing papers by E.M. Chambaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E.M. Chambaz. 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 E.M. Chambaz. The network helps show where E.M. Chambaz may publish in the future.

Co-authorship network

The 25 scholars most cited alongside E.M. Chambaz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E.M. Chambaz Line = papers co-authored together E.M. Chambaz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
The Auto/paracrine regulation of endocrine functions: a history of TGF-β and the adrenal cortex
20071
2 200012
3 199845
4 19983
5 199819
6 199816
7 199831
8 19967
9 199511
10 19942
11 19943
12
[Autocrine regulation of adrenal steroidogenesis by growth factor transforming TGF-beta 1].
19912
13 199154
14 199024
15 199025
16 199019
17 198979
18 198845
19 19825
20 197111

About E.M. Chambaz

E.M. Chambaz is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry, Molecular Biology, Cancer Research and Genetics, having authored 194 papers that have together received 6.0k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (26 papers), Hormonal Regulation and Hypertension (25 papers), Estrogen and related hormone effects (23 papers), Receptor Mechanisms and Signaling (17 papers), Cancer, Hypoxia, and Metabolism (16 papers), Polyamine Metabolism and Applications (16 papers), Animal Genetics and Reproduction (14 papers) and Amino Acid Enzymes and Metabolism (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Molecular Biology (3.9k citations), Behavioral Neuroscience (195 citations), Biochemistry (342 citations) and Cell Biology (674 citations). E.M. Chambaz has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Claude Cochet, Jean‐Jacques Feige, G. Defaye, Odile Filhol, Isabelle Vilgrain, C. Madani, E. C. Horning, Fabienne Pirollet, Didier Leroy and Jean-Karim Hèriché. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, Molecular and Cellular Endocrinology, FEBS Letters and Endocrinology.

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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