Corinne Gérard
- Pharmacology top 2%
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Oncology
- Co-authors
- G VassartCatherine MollereauMarc ParmentierA EnjalbertBernard VerrierJean MauchampAnne BarlierKarine Magalon
- Topics
- Growth Hormone and Insulin-like Growth Factors (8 papers)Protein Kinase Regulation and GTPase Signaling (6 papers)Neuroscience and Neuropharmacology Research (5 papers)
- Journals
- Journal of Biological ChemistryBiochemical JournalBiochemical and Biophysical Research Communications
- Partner nations
- FranceBelgiumSwitzerland
In The Last Decade
Corinne Gérard
43 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Pharmacology 563
- Cellular and Molecular Neuroscience 475
- Molecular Biology 453
- Endocrinology, Diabetes and Metabolism 261
- Oncology 154
Countries citing papers authored by Corinne Gérard
This map shows the geographic impact of Corinne Gérard'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 Corinne Gérard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Corinne Gérard more than expected).
Fields of papers citing papers by Corinne Gérard
This network shows the impact of papers produced by Corinne Gérard. 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 Corinne Gérard. The network helps show where Corinne Gérard may publish in the future.
Co-authorship network of co-authors of Corinne Gérard
This figure shows the co-authorship network connecting the top 25 collaborators of Corinne Gérard. A scholar is included among the top collaborators of Corinne Gérard 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 Corinne Gérard. Corinne Gérard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 52 | |
| 3 | 1 | |
| 4 | 46 | |
| 5 | 14 | |
| 6 | 26 | |
| 7 | 2 | |
| 8 | 32 | |
| 9 | 11 | |
| 10 | 37 | |
| 11 | 1 | |
| 12 | 19 | |
| 13 | 17 | |
| 14 | 46 | |
| 15 | 5 | |
| 16 | 8 | |
| 17 | 5 | |
| 18 | 40 | |
| 19 | 25 | |
| 20 | 12 |
About Corinne Gérard
Corinne Gérard is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Biochemistry, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (8 papers), Protein Kinase Regulation and GTPase Signaling (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Pharmacology (563 citations), Cellular and Molecular Neuroscience (475 citations) and Toxicology (70 citations). Corinne Gérard has collaborated with scholars based in France, Belgium and Switzerland. Frequent co-authors include G Vassart, Catherine Mollereau, Marc Parmentier, A Enjalbert, Bernard Verrier, Jean Mauchamp, Anne Barlier, Karine Magalon, Ramahefarizo Rasolonjanahary and Hiroshi Saitoh. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal and Biochemical and Biophysical Research Communications.
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.