Marie‐Laure Sobrier
- Endocrinology, Diabetes and Metabolism top 0.5%
- Molecular Biology top 10%
- Genetics top 2%
- Surgery
- Cancer Research top 10%
- Co-authors
- Serge AmselemPhilippe DuquesnoyMichel GoossensBénédicte DuriezIrène NetchineFlorence DastotJacques PantelB. Dastugue
- Topics
- Growth Hormone and Insulin-like Growth Factors (24 papers)Genetic Syndromes and Imprinting (12 papers)Neurobiology and Insect Physiology Research (9 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Marie‐Laure Sobrier
48 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 83
- Endocrinology, Diabetes and Metabolism 1.3k
- Molecular Biology 960
- Genetics 834
- Surgery 213
- Cancer Research 213
Countries citing papers authored by Marie‐Laure Sobrier
This map shows the geographic impact of Marie‐Laure Sobrier'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 Marie‐Laure Sobrier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie‐Laure Sobrier more than expected).
Fields of papers citing papers by Marie‐Laure Sobrier
This network shows the impact of papers produced by Marie‐Laure Sobrier. 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 Marie‐Laure Sobrier. The network helps show where Marie‐Laure Sobrier may publish in the future.
Co-authorship network of co-authors of Marie‐Laure Sobrier
This figure shows the co-authorship network connecting the top 25 collaborators of Marie‐Laure Sobrier. A scholar is included among the top collaborators of Marie‐Laure Sobrier 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 Marie‐Laure Sobrier. Marie‐Laure Sobrier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 57 | |
| 2 | 3 | |
| 3 | 33 | |
| 4 | Contribution of GHR and IGFALS Mutations to Growth Hormone Resistance - Identification of New Variants and Impact on the Inheritance Pattern | 1 |
| 5 | 8 | |
| 6 | 11 | |
| 7 | 23 | |
| 8 | 43 | |
| 9 | 162 | |
| 10 | 24 | |
| 11 | 52 | |
| 12 | 86 | |
| 13 | 95 | |
| 14 | 1 | |
| 15 | 46 | |
| 16 | 72 | |
| 17 | 37 | |
| 18 | 8 | |
| 19 | 15 | |
| 20 | 16 |
About Marie‐Laure Sobrier
Marie‐Laure Sobrier is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Cellular and Molecular Neuroscience, having authored 50 papers that have together received 2.0k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (24 papers), Genetic Syndromes and Imprinting (12 papers) and Neurobiology and Insect Physiology Research (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Genetics (834 citations) and Cancer Research (213 citations). Marie‐Laure Sobrier has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Serge Amselem, Philippe Duquesnoy, Michel Goossens, Bénédicte Duriez, Irène Netchine, Florence Dastot, Jacques Pantel, B. Dastugue, Mohamad Maghnie and M Goossens. Their work appears in journals such as Proceedings of the National Academy of Sciences, 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.