Florence Dastot
Impact in
-
- Growth Hormone and Insulin-like Growth Factors
- Genetics top 5%
- Genetic Syndromes and Imprinting
Papers in
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- Growth Hormone and Insulin-like Growth Factors 14
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- Cancer, Hypoxia, and Metabolism 5
- Co-authors
- Serge AmselemPhilippe DuquesnoyMichel GoossensMarie‐Laure SobrierBénédicte DuriezM GoossensMartin O. SavageMichael A. Preece
- Journals
- The Journal of Clinical Endocrinology & Metabolism (4 papers)FEBS Letters (2 papers)Pediatric Rheumatology (1 paper)Endocrinology (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- FranceIsraelSwitzerland
In The Last Decade
Florence Dastot
19 papers receiving 986 citations
Peers
Comparison fields: 5 of 64
- Endocrinology, Diabetes and Metabolism 764
- Genetics 487
- Cancer Research 117
- Cardiology and Cardiovascular Medicine 167
- Molecular Biology 385
Countries citing papers authored by Florence Dastot
This map shows the geographic impact of Florence Dastot'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 Florence Dastot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florence Dastot more than expected).
Fields of papers citing papers by Florence Dastot
This network shows the impact of papers produced by Florence Dastot. 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 Florence Dastot. The network helps show where Florence Dastot may publish in the future.
Co-authors
The 25 scholars most cited alongside Florence Dastot, 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 | 2019 | 22 | |
| 2 | Contribution of GHR and IGFALS Mutations to Growth Hormone Resistance - Identification of New Variants and Impact on the Inheritance Pattern | 2016 | 1 |
| 3 | 2013 | 1 | |
| 4 | 2012 | 60 | |
| 5 | 2000 | 31 | |
| 6 | 1999 | 15 | |
| 7 | 1998 | 91 | |
| 8 | 1998 | 8 | |
| 9 | 1998 | 24 | |
| 10 | 1998 | 98 | |
| 11 | 1997 | 52 | |
| 12 | 1997 | 40 | |
| 13 | 1997 | 35 | |
| 14 | 1997 | 121 | |
| 15 | 1996 | 33 | |
| 16 | 1996 | 122 | |
| 17 | 1994 | 47 | |
| 18 | 1994 | 122 | |
| 19 | 1993 | 89 |
About Florence Dastot
Florence Dastot is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Genetics, Rheumatology and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (14 papers), Cancer, Hypoxia, and Metabolism (5 papers), Genetic Syndromes and Imprinting (4 papers), Cystic Fibrosis Research Advances (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Lipid metabolism and disorders (2 papers), Genetic and Kidney Cyst Diseases (2 papers) and Digestive system and related health (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (764 citations), Genetics (487 citations), Cancer Research (117 citations), Cardiology and Cardiovascular Medicine (167 citations) and Molecular Biology (385 citations). Florence Dastot has collaborated with scholars based in France, Israel and Switzerland. Frequent co-authors include Serge Amselem, Philippe Duquesnoy, Michel Goossens, Marie‐Laure Sobrier, Bénédicte Duriez, M Goossens, Martin O. Savage, Michael A. Preece, Irène Netchine and Pierre Bougnères. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, FEBS Letters, Pediatric Rheumatology, Endocrinology and Human Molecular 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.