Yves Le Bouc
- Molecular Biology top 1%
- Genetics top 0.2%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Pediatrics, Perinatology and Child Health top 0.2%
- Physiology top 0.5%
- Co-authors
- Christine GicquelMartin HolzenbergerPatricia LeneuveBertrand DucosJoëlle DupontPascale CerveraPatrick C. EvenAlain Géloën
- Topics
- Growth Hormone and Insulin-like Growth Factors (83 papers)Genetic Syndromes and Imprinting (58 papers)Epigenetics and DNA Methylation (38 papers)
- Partner nations
- FranceUnited StatesAustralia
In The Last Decade
Yves Le Bouc
210 papers receiving 11.6k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Biology 5.0k
- Genetics 3.5k
- Endocrinology, Diabetes and Metabolism 2.9k
- Pediatrics, Perinatology and Child Health 2.8k
- Physiology 2.2k
Countries citing papers authored by Yves Le Bouc
This map shows the geographic impact of Yves Le Bouc'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 Yves Le Bouc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yves Le Bouc more than expected).
Fields of papers citing papers by Yves Le Bouc
This network shows the impact of papers produced by Yves Le Bouc. 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 Yves Le Bouc. The network helps show where Yves Le Bouc may publish in the future.
Co-authorship network of co-authors of Yves Le Bouc
This figure shows the co-authorship network connecting the top 25 collaborators of Yves Le Bouc. A scholar is included among the top collaborators of Yves Le Bouc 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 Yves Le Bouc. Yves Le Bouc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 0 | |
| 5 | 17 | |
| 6 | 33 | |
| 7 | 52 | |
| 8 | Silver Russell syndrome: A Cause of Partial IGF1 Resistance? | 1 |
| 9 | Severe Isolated Growth Hormone Deficiency and Myopathy in Two Brothers With RNPC3 Mutation | 4 |
| 10 | 30 | |
| 11 | 36 | |
| 12 | 51 | |
| 13 | 10 | |
| 14 | 41 | |
| 15 | 5 | |
| 16 | 4 | |
| 17 | Recommandations pour l'harmonisation des techniques de dosage sérique d'hormone de croissance. | 4 |
| 18 | 379 | |
| 19 | 79 | |
| 20 | Acromegaly with low plasma GH level. A clinical biological, histological and GH mRNA study | 1 |
About Yves Le Bouc
Yves Le Bouc is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Pediatrics, Perinatology and Child Health, having authored 214 papers that have together received 11.9k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (83 papers), Genetic Syndromes and Imprinting (58 papers) and Epigenetics and DNA Methylation (38 papers). The work is most often cited by research in Aging (1.0k citations), Endocrine and Autonomic Systems (1.8k citations) and Endocrinology, Diabetes and Metabolism (2.9k citations). Yves Le Bouc has collaborated with scholars based in France, United States and Australia. Frequent co-authors include Christine Gicquel, Martin Holzenberger, Patricia Leneuve, Bertrand Ducos, Joëlle Dupont, Pascale Cervera, Patrick C. Even, Alain Géloën, Sylvie Cabrol and M Gourmelen. Their work appears in journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.
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.