E Coëzy
- Genetics top 10%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Oncology
- Pharmacology top 5%
- Co-authors
- Henri RochefortJean‐Louis BorgnaPierre CorvolJ BouhnikJoël MénardÉric ClauserMary C. WeissDoris Cassio
- Topics
- Estrogen and related hormone effects (6 papers)Receptor Mechanisms and Signaling (5 papers)Renin-Angiotensin System Studies (4 papers)
- Partner nations
- FranceUnited StatesMali
In The Last Decade
E Coëzy
20 papers receiving 567 citations
Peers
Comparison fields: 5 of 73
- Genetics 308
- Molecular Biology 262
- Endocrinology, Diabetes and Metabolism 104
- Oncology 88
- Pharmacology 88
Countries citing papers authored by E Coëzy
This map shows the geographic impact of E Coëzy'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 Coëzy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E Coëzy more than expected).
Fields of papers citing papers by E Coëzy
This network shows the impact of papers produced by E Coëzy. 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 Coëzy. The network helps show where E Coëzy may publish in the future.
Co-authorship network of co-authors of E Coëzy
This figure shows the co-authorship network connecting the top 25 collaborators of E Coëzy. A scholar is included among the top collaborators of E Coëzy 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 E Coëzy. E Coëzy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 8 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 13 | |
| 8 | 5 | |
| 9 | 21 | |
| 10 | 26 | |
| 11 | 28 | |
| 12 | 50 | |
| 13 | 20 | |
| 14 | 12 | |
| 15 | Tamoxifen and metabolites in MCF7 cells: correlation between binding to estrogen receptor and inhibition of cell growth. | 351 |
| 16 | 3 | |
| 17 | [Glucocorticoid receptors in mammary tumors in PS and C3H mouse strains (author's transl)]. | 1 |
| 18 | 1 | |
| 19 | Susceptibility of mice of different strains to the mammary carcinogenic action of natural and synthetic oestrogens. | 5 |
| 20 | [Carcinogenic action of sodium cyclymates in mice]. | 2 |
About E Coëzy
E Coëzy is a scholar working on Pharmacology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 606 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (6 papers), Receptor Mechanisms and Signaling (5 papers) and Renin-Angiotensin System Studies (4 papers). The work is most often cited by research in Genetics (308 citations), Pharmacology (88 citations) and Endocrinology, Diabetes and Metabolism (104 citations). E Coëzy has collaborated with scholars based in France, United States and Mali. Frequent co-authors include Henri Rochefort, Jean‐Louis Borgna, Pierre Corvol, J Bouhnik, Joël Ménard, Éric Clauser, Mary C. Weiss, Doris Cassio, Françoise Giraud and Marie‐Dominique Hardy‐Dessources. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Cell Biology and Blood.
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.