Marie‐Laure Sobrier
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- Growth Hormone and Insulin-like Growth Factors 24
- Genetics top 2%
- Genetic Syndromes and Imprinting 12
- Digestive system and related health 5
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism 4
- Molecular Biology top 10%
- Epigenetics and DNA Methylation 5
- Congenital heart defects research 4
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- Neurobiology and Insect Physiology Research 9
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- Prenatal Screening and Diagnostics 4
- Co-authors
- Serge AmselemPhilippe DuquesnoyMichel GoossensBénédicte DuriezIrène NetchineFlorence DastotJacques PantelB. Dastugue
- 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
- Genetics 834
- Cancer Research 213
- Molecular Biology 960
- Cardiology and Cardiovascular Medicine 204
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
The 25 scholars most cited alongside Marie‐Laure Sobrier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 57 | |
| 2 | 2021 | 3 | |
| 3 | 2019 | 33 | |
| 4 | Contribution of GHR and IGFALS Mutations to Growth Hormone Resistance - Identification of New Variants and Impact on the Inheritance Pattern | 2016 | 1 |
| 5 | 2012 | 8 | |
| 6 | 2011 | 11 | |
| 7 | 2008 | 23 | |
| 8 | 2004 | 43 | |
| 9 | 2000 | 162 | |
| 10 | 1998 | 24 | |
| 11 | 1997 | 52 | |
| 12 | 1997 | 86 | |
| 13 | 1993 | 95 | |
| 14 | 1993 | 1 | |
| 15 | 1993 | 46 | |
| 16 | 1991 | 72 | |
| 17 | 1990 | 37 | |
| 18 | 1989 | 8 | |
| 19 | 1988 | 15 | |
| 20 | 1986 | 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), Neurobiology and Insect Physiology Research (9 papers), Digestive system and related health (5 papers), Epigenetics and DNA Methylation (5 papers), Congenital heart defects research (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Prenatal Screening and Diagnostics (4 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.
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.