Martine Pomérance
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Oncology
- Immunology
- Cellular and Molecular Neuroscience
- Co-authors
- Jean‐Paul BlondeauM. PierreBruno TocquéMichel PierreJ.M. GavaretFabien SchweighofferJacques FranconNicolas Szabo‐Fresnais
- Topics
- Protein Kinase Regulation and GTPase Signaling (8 papers)Thyroid Disorders and Treatments (6 papers)Cancer, Hypoxia, and Metabolism (3 papers)
- Journals
- Journal of Biological ChemistryMolecular and Cellular BiologyBiochemical and Biophysical Research Communications
- Partner nations
- FranceUnited States
In The Last Decade
Martine Pomérance
28 papers receiving 861 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 550
- Endocrinology, Diabetes and Metabolism 170
- Oncology 109
- Immunology 97
- Cellular and Molecular Neuroscience 87
Countries citing papers authored by Martine Pomérance
This map shows the geographic impact of Martine Pomérance'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 Martine Pomérance with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martine Pomérance more than expected).
Fields of papers citing papers by Martine Pomérance
This network shows the impact of papers produced by Martine Pomérance. 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 Martine Pomérance. The network helps show where Martine Pomérance may publish in the future.
Co-authorship network of co-authors of Martine Pomérance
This figure shows the co-authorship network connecting the top 25 collaborators of Martine Pomérance. A scholar is included among the top collaborators of Martine Pomérance 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 Martine Pomérance. Martine Pomérance is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 44 | |
| 2 | 26 | |
| 3 | 33 | |
| 4 | 50 | |
| 5 | 19 | |
| 6 | 17 | |
| 7 | 80 | |
| 8 | 15 | |
| 9 | 43 | |
| 10 | 74 | |
| 11 | 20 | |
| 12 | 36 | |
| 13 | 1 | |
| 14 | 27 | |
| 15 | 79 | |
| 16 | 17 | |
| 17 | 6 | |
| 18 | 13 | |
| 19 | 28 | |
| 20 | 29 |
About Martine Pomérance
Martine Pomérance is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Cell Biology, having authored 28 papers that have together received 876 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (8 papers), Thyroid Disorders and Treatments (6 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (170 citations), Developmental Neuroscience (36 citations) and Molecular Biology (550 citations). Martine Pomérance has collaborated with scholars based in France and United States. Frequent co-authors include Jean‐Paul Blondeau, M. Pierre, Bruno Tocqué, Michel Pierre, J.M. Gavaret, Fabien Schweighoffer, Jacques Francon, Nicolas Szabo‐Fresnais, Claude Jacquemin and Rodolphe Fischmeister. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology 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.