Florence Dastot

24 papers receiving 1.3k citations

Peers

Florence Dastot
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 844
  • Genetics 595
  • Reproductive Medicine 125
  • Cancer Research 128
  • Cardiology and Cardiovascular Medicine 168
Replace Bénédicte Duriez with:
Bénédicte Duriez France
Mirian Yumie Nishi Brazil
Jürgen Föll Germany
Michelle A. Wood United States
Jenifer P. Suntharalingham United Kingdom
Jean-Paul Beressi France
Mark B. Harvey Australia
Mariana Ferreira de Assis Funari Brazil
Dennis J. Chia United States
Hideo Sugawa Japan
Florence Dastot relative to Bénédicte Duriez France Bénédicte Duriez's profile →
Citations per field
00.5×1.5×2.1×
Bénédicte Duriez · 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

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019147
2 1994136
3 1997133
4 1996128
5 1998108
6 1998107
7 199393
8 201278
9 201265
10 199756
11 199454
12 199753
13 202050
14 200039
15 199635
16 199735
17 201926
18 199824
19 201622
20 199915

About Florence Dastot

Florence Dastot is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Cancer Research, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (15 papers), Cystic Fibrosis Research Advances (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Genetic Syndromes and Imprinting (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Pancreatic function and diabetes (3 papers), Lipid metabolism and disorders (2 papers) and Folate and B Vitamins Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (844 citations), Genetics (595 citations), Reproductive Medicine (125 citations), Cancer Research (128 citations) and Cardiology and Cardiovascular Medicine (168 citations). Florence Dastot has collaborated with scholars based in France, Israel and Türkiye. Frequent co-authors include Serge Amselem, Philippe Duquesnoy, Michel Goossens, Bénédicte Duriez, Marie‐Laure Sobrier, Martin Oswald Savage, Michel Goossens, Michael A. Preece, Irène Netchine and Philippe Talon. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, The American Journal of Human Genetics, Journal of Medical Genetics, FEBS Letters and Human 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.

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