Florence Dastot

1.7k citations
19 papers · 1.0k indexed · h-index 16

Impact in

Papers in

Florence Dastot

19 papers receiving 986 citations

Peers

Florence Dastot
Comparison fields: 5 of 64
  • Endocrinology, Diabetes and Metabolism 764
  • Genetics 487
  • Cancer Research 117
  • Cardiology and Cardiovascular Medicine 167
  • Molecular Biology 385
Replace Caroline Buckway with:
Caroline Buckway United States
Cora Groffen Netherlands
Eiichi Kinoshita Japan
M Goossens France
H Stobbe Germany
Jean-Paul Beressi France
E. Futo Switzerland
PE Lobie Australia
Emilia Ballarè Italy
V Ilvesmäki Finland
Florence Dastot relative to Caroline Buckway United States Caroline Buckway's profile →
Citations per field
00.5×1.6×
Caroline Buckway · 1×
Citations per year

Countries citing papers authored by Florence Dastot

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Florence Dastot Line = papers co-authored together Florence Dastot links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201922
2
Contribution of GHR and IGFALS Mutations to Growth Hormone Resistance - Identification of New Variants and Impact on the Inheritance Pattern
20161
3 20131
4 201260
5 200031
6 199915
7 199891
8 19988
9 199824
10 199898
11 199752
12 199740
13 199735
14 1997121
15 199633
16 1996122
17 199447
18 1994122
19 199389

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026