Pascal Guénel

22.1k citations
268 papers · 17.1k · 15 hit papers · h-index 60

Impact in

  • Genetics top 0.2%
    • Genetic Associations and Epidemiology
    • BRCA gene mutations in cancer
    • Breast Cancer Treatment Studies

Papers in

    • Genetic Associations and Epidemiology 90
    • BRCA gene mutations in cancer 70
    • Cancer Risks and Factors 23
    • Global Cancer Incidence and Screening 14

Pascal Guénel

258 papers receiving 16.6k citations

Pascal Guénel's Hit Papers

Genetic insights into biological mechanisms governing human ovarian ageing 2021 · 284 citations
2840+4+8Years since publication2505007501k

Peers

Pascal Guénel
Comparison fields: 5 of 210
  • Genetics 6.9k
  • Cancer Research 1.6k
  • Endocrine and Autonomic Systems 501
  • Reproductive Medicine 868
  • Oncology 1.8k
Replace Thomas Brüning with:
Thomas Brüning Germany
Anthony J. Swerdlow United Kingdom
Ruth C. Travis United Kingdom
Qiuyin Cai United States
Kenneth Ross Muir United Kingdom
Jenny C. Chang-Claude Germany
Vı́ctor Moreno Spain
Jolanta Lissowska United States
Shelley S. Tworoger United States
Nilanjan Chatterjee United States
Pascal Guénel relative to Thomas Brüning Germany Thomas Brüning's profile →
Citations per field
00.5×1.5×1.9×
Thomas Brüning · 1×
Citations per year

Countries citing papers authored by Pascal Guénel

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Guénel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 268 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Association analysis identifies 65 new breast cancer risk loci
Hit paper breakdown →
20171040
2
Large-scale genotyping identifies 41 new loci associated with breast cancer risk
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2013913
3
Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes
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2018775
4
RAD51B in Familial Breast Cancer
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2016641
5
MicroRNA Related Polymorphisms and Breast Cancer Risk
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2014610
6
Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer
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2015489
7
Multiple independent variants at the TERT locus are associated with telomere length and risks of breast and ovarian cancer
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2013468
8
Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche
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2014467
9
Prediction of Breast Cancer Risk Based on Profiling With Common Genetic Variants
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2015450
10
Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk
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2017417
11 2013349
12
Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair
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2015324
13
Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses
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2020321
14
Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer
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2017306
15
Carcinogenicity of night shift work
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2019296
16
Genetic insights into biological mechanisms governing human ovarian ageing
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2021284
17 1994264
18 2012241
19 1986238
20 2016221

About Pascal Guénel

Pascal Guénel is a scholar working on Genetics, Oncology, Endocrinology, Diabetes and Metabolism, Occupational Therapy and Health, Toxicology and Mutagenesis, having authored 268 papers that have together received 17.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (90 papers), BRCA gene mutations in cancer (70 papers), Cancer Risks and Factors (23 papers), Occupational and environmental lung diseases (20 papers), Thyroid Cancer Diagnosis and Treatment (18 papers), Sleep and Work-Related Fatigue (15 papers), Occupational Health and Safety in Workplaces (15 papers) and Global Cancer Incidence and Screening (14 papers). The work is most often cited by research in Genetics (6.9k citations), Cancer Research (1.6k citations), Endocrine and Autonomic Systems (501 citations), Reproductive Medicine (868 citations) and Oncology (1.8k citations). Pascal Guénel has collaborated with scholars based in France, Germany and United Kingdom. Frequent co-authors include Thérèse Truong, Annette Leclerc, J Brugère, Elsebeth Lynge, Marcel Goldberg, Patrick Arveux, Joseph Rodriguez, Yannick Rougier, Diane Cyr and Ellen Imbernon. Their work appears in journals such as Nature Genetics, Cancer Causes & Control, International Journal of Cancer, Occupational and Environmental Medicine and The American Journal of 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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