J.M. Gavaret
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Physiology
- Nutrition and Dietetics
- Cellular and Molecular Neuroscience
- Co-authors
- M. PierreH. J. CahnmannFrançoise CourtinJosé I. NúñezMartine PoméranceJ. NúñezD. DèmeG Salvatore
- Topics
- Thyroid Disorders and Treatments (9 papers)Growth Hormone and Insulin-like Growth Factors (4 papers)Biochemical effects in animals (3 papers)
- Partner nations
- FranceUnited StatesPoland
In The Last Decade
J.M. Gavaret
22 papers receiving 490 citations
Peers
Comparison fields: 5 of 75
- Endocrinology, Diabetes and Metabolism 246
- Molecular Biology 215
- Physiology 65
- Nutrition and Dietetics 55
- Cellular and Molecular Neuroscience 50
Countries citing papers authored by J.M. Gavaret
This map shows the geographic impact of J.M. Gavaret'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 J.M. Gavaret with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.M. Gavaret more than expected).
Fields of papers citing papers by J.M. Gavaret
This network shows the impact of papers produced by J.M. Gavaret. 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 J.M. Gavaret. The network helps show where J.M. Gavaret may publish in the future.
Co-authorship network of co-authors of J.M. Gavaret
This figure shows the co-authorship network connecting the top 25 collaborators of J.M. Gavaret. A scholar is included among the top collaborators of J.M. Gavaret 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 J.M. Gavaret. J.M. Gavaret is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 5 | |
| 3 | 43 | |
| 4 | 20 | |
| 5 | 12 | |
| 6 | 48 | |
| 7 | 54 | |
| 8 | 11 | |
| 9 | 79 | |
| 10 | 17 | |
| 11 | [A model for studying the transmission of information produced by certain growth factors: activation mechanisms of S6 kinase in cultured astrocytes]. | 1 |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 65 | |
| 15 | 48 | |
| 16 | 27 | |
| 17 | 46 | |
| 18 | 5 | |
| 19 | [Relation between iodine content and properties of thyroglobulins obtained by isotopic equilibration]. | 7 |
| 20 | 7 |
About J.M. Gavaret
J.M. Gavaret is a scholar working on Endocrinology, Diabetes and Metabolism, Developmental Neuroscience and Physiology, having authored 22 papers that have together received 517 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (9 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Biochemical effects in animals (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (246 citations), Developmental Neuroscience (24 citations) and Neurology (36 citations). J.M. Gavaret has collaborated with scholars based in France, United States and Poland. Frequent co-authors include M. Pierre, H. J. Cahnmann, Françoise Courtin, José I. Núñez, Martine Pomérance, J. Núñez, D. Dème, G Salvatore, Ana Maria Lennon and Anne Marie Lennon. Their work appears in journals such as Journal of Biological Chemistry, Endocrinology and Annals of the New York Academy of Sciences.
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.