Florence Demay

1.6k total citations · 1 hit paper
17 papers, 1.2k citations indexed

About

Florence Demay is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Florence Demay has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Genetics and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Florence Demay's work include Estrogen and related hormone effects (8 papers), Genomics and Chromatin Dynamics (6 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). Florence Demay is often cited by papers focused on Estrogen and related hormone effects (8 papers), Genomics and Chromatin Dynamics (6 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). Florence Demay collaborates with scholars based in France, Germany and Slovakia. Florence Demay's co-authors include Christophe Tiffoche, Gilles Salbert, Raphaël Métivier, Péter Baráth, Rozenn Gallais, Albert Jeltsch, Renata Z. Jurkowska, George Reid, Frank Gannon and David Ibberson and has published in prestigious journals such as Nature, Biochemical Journal and International Journal of Molecular Sciences.

In The Last Decade

Florence Demay

17 papers receiving 1.2k citations

Hit Papers

Cyclical DNA methylation of a transcriptionally active pr... 2008 2026 2014 2020 2008 200 400 600

Peers

Florence Demay
Comparison fields: 5 of 100
  • Molecular Biology 934
  • Genetics 384
  • Oncology 88
  • Pediatrics, Perinatology and Child Health 83
  • Pathology and Forensic Medicine 76
Replace Maria L. Cortés with:
Maria L. Cortés United States
Pierre Sarda France
Mario G. Mirisola Italy
Huijun Z. Ring United States
Qinghua Zhou China
Hui Guo China
Astrid Becker Germany
Dirk Stach Germany
Ullas Kolthur‐Seetharam India
Carlos Romá‐Mateo Spain
Maria L. Cortés United States View profile →
Citations per field, relative to Florence Demay
Florence Demay · 1×
Citations per year, relative to Florence Demay
Florence Demay · 1×

Countries citing papers authored by Florence Demay

Since Specialization
Citations

This map shows the geographic impact of Florence Demay'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 Demay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florence Demay more than expected).

Fields of papers citing papers by Florence Demay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Florence Demay. 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 Demay. The network helps show where Florence Demay may publish in the future.

Co-authorship network of co-authors of Florence Demay

This figure shows the co-authorship network connecting the top 25 collaborators of Florence Demay. A scholar is included among the top collaborators of Florence Demay 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 Florence Demay. Florence Demay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 28
2 135
3 8
4 21
5 10
6 171
7 24
8
Cyclical DNA methylation of a transcriptionally active promoter breakdown →
682
9 15
10 23
11 21
12 3
13 34
14 1
15 37
16 9
17 3

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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