A. Gérard

38 papers receiving 1.1k citations

A. Gérard's Hit Papers

High-throughput single-cell ChIP-seq identifies heterogeneity of chromatin states in breast cancer 2019 · 329 citations
3290+2+4Years since publication100200300

Peers

A. Gérard
Comparison fields: 5 of 101
  • Reproductive Medicine 136
  • Virology 58
  • Molecular Biology 728
  • Cancer Research 147
  • Endocrinology, Diabetes and Metabolism 122
Replace G Limjuco with:
G Limjuco United States
Vinod Singh India
Pia M. Martensen Denmark
Suzanne K. Beckner United States
J T Conary United States
Masayoshi Imagawa Japan
Ana Paula Lepique Brazil
Malini Bajpai India
André Schmidt Germany
M C Deeley United States
A. Gérard relative to G Limjuco United States G Limjuco's profile →
Citations per field
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G Limjuco · 1×
Citations per year

Countries citing papers authored by A. Gérard

Since Specialization
Citations

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

Fields of papers citing papers by A. Gérard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside A. Gérard, 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 A. Gérard Line = papers co-authored together A. Gérard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
High-throughput single-cell ChIP-seq identifies heterogeneity of chromatin states in breast cancer
Hit paper breakdown →
2019329
2 2008119
3 1981110
4 198854
5 200652
6 199447
7 201341
8 201539
9 200936
10 199226
11 201125
12 200424
13 200517
14 199116
15 200516
16 199016
17
[Survey on the announcement of schizophrenia diagnosis in France].
200016
18 201315
19 198815
20 200614

About A. Gérard

A. Gérard is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Surgery and Rheumatology, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (8 papers), Hormonal and reproductive studies (8 papers), Sperm and Testicular Function (5 papers), Genomics and Chromatin Dynamics (4 papers), Folate and B Vitamins Research (4 papers), DNA Repair Mechanisms (3 papers), HIV Research and Treatment (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Reproductive Medicine (136 citations), Virology (58 citations), Molecular Biology (728 citations), Cancer Research (147 citations) and Endocrinology, Diabetes and Metabolism (122 citations). A. Gérard has collaborated with scholars based in France, Belgium and Denmark. Frequent co-authors include H Gérard, Geneviève Almouzni, Jean‐Louis Guéant, Jean‐Pierre Quivy, Danièle Roche, Adam Cook, Fariba Némati, Andrew D. Griffiths, Kevin Grosselin and Sonia Lameiras. Their work appears in journals such as Journal of Molecular Endocrinology, Endocrinology, Journal of Pediatric Gastroenterology and Nutrition, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and EMBO Reports.

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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