Catherine Le Stunff
- Physiology top 5%
- Endocrine and Autonomic Systems top 1%
- Molecular Biology
- Genetics top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Pierre BougnèresM. Daniele FallinNicholas J. SchorkPierre-François BougnèresChristian VaisseCécile Lubrano-BerthelierChristine Le Bihan-BenjaminAgnès Linglart
- Topics
- Adipose Tissue and Metabolism (11 papers)Pancreatic function and diabetes (11 papers)Growth Hormone and Insulin-like Growth Factors (9 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Catherine Le Stunff
48 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 83
- Physiology 482
- Endocrine and Autonomic Systems 464
- Molecular Biology 416
- Genetics 325
- Endocrinology, Diabetes and Metabolism 283
Countries citing papers authored by Catherine Le Stunff
This map shows the geographic impact of Catherine Le Stunff'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 Catherine Le Stunff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Le Stunff more than expected).
Fields of papers citing papers by Catherine Le Stunff
This network shows the impact of papers produced by Catherine Le Stunff. 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 Catherine Le Stunff. The network helps show where Catherine Le Stunff may publish in the future.
Co-authorship network of co-authors of Catherine Le Stunff
This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Le Stunff. A scholar is included among the top collaborators of Catherine Le Stunff 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 Catherine Le Stunff. Catherine Le Stunff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 16 | |
| 6 | 11 | |
| 7 | 29 | |
| 8 | 15 | |
| 9 | 26 | |
| 10 | 4 | |
| 11 | 69 | |
| 12 | 88 | |
| 13 | 88 | |
| 14 | 129 | |
| 15 | 41 | |
| 16 | 102 | |
| 17 | 8 | |
| 18 | PEG1 expression in maternal uniparental disomy 7. | 5 |
| 19 | 26 | |
| 20 | 4 |
About Catherine Le Stunff
Catherine Le Stunff is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism and Genetics, having authored 48 papers that have together received 1.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (11 papers), Pancreatic function and diabetes (11 papers) and Growth Hormone and Insulin-like Growth Factors (9 papers). The work is most often cited by research in Endocrine and Autonomic Systems (464 citations), Physiology (482 citations) and Endocrinology, Diabetes and Metabolism (283 citations). Catherine Le Stunff has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Pierre Bougnères, M. Daniele Fallin, Nicholas J. Schork, Pierre-François Bougnères, Christian Vaisse, Cécile Lubrano-Berthelier, Christine Le Bihan-Benjamin, Agnès Linglart, Peter Rotwein and Anya Rothenbühler. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Genetics.
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.