Laurent Briollais
- Cancer Research top 10%
- Obstetrics and Gynecology top 5%
- Genetics top 5%
- Genetic Associations and Epidemiology 23
- Genetic and phenotypic traits in livestock 9
- BRCA gene mutations in cancer 8
- Genetic Mapping and Diversity in Plants and Animals 8
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- Birth, Development, and Health 19
- Oncology top 10%
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- Genetic factors in colorectal cancer 17
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- Epigenetics and DNA Methylation 11
- Gene expression and cancer classification 9
- Co-authors
- Hilmi ÖzçelikBharati BapatStephen J. LyeGilles DurrieuIrene L. AndrulisYan Yan WuCraig E. PennellYun‐Hee Choi
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American Statistical Association (1 paper)Bioinformatics (1 paper)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Laurent Briollais
90 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 132
- Cancer Research 278
- Obstetrics and Gynecology 143
- Genetics 500
- Pediatrics, Perinatology and Child Health 238
- Oncology 321
Countries citing papers authored by Laurent Briollais
This map shows the geographic impact of Laurent Briollais'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 Laurent Briollais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurent Briollais more than expected).
Fields of papers citing papers by Laurent Briollais
This network shows the impact of papers produced by Laurent Briollais. 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 Laurent Briollais. The network helps show where Laurent Briollais may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Laurent Briollais, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2022 | 4 | |
| 3 | 2022 | 11 | |
| 4 | 2022 | 13 | |
| 5 | 2021 | 1 | |
| 6 | 2019 | 6 | |
| 7 | 2016 | 52 | |
| 8 | 2016 | 4 | |
| 9 | 2013 | 20 | |
| 10 | 2013 | 44 | |
| 11 | 2011 | 14 | |
| 12 | 2010 | 46 | |
| 13 | 2009 | 44 | |
| 14 | 2007 | 23 | |
| 15 | 2006 | 131 | |
| 16 | 2005 | 4 | |
| 17 | 2003 | 6 | |
| 18 | 2000 | 2 | |
| 19 | 2000 | 19 | |
| 20 | [Evaluation of a cervical cancer screening campaign: reflections on the experience in Martinique]. | 2000 | 1 |
About Laurent Briollais
Laurent Briollais is a scholar working on Statistics and Probability, Genetics and Pathology and Forensic Medicine, having authored 92 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (23 papers), Birth, Development, and Health (19 papers), Genetic factors in colorectal cancer (17 papers), Epigenetics and DNA Methylation (11 papers), Gene expression and cancer classification (9 papers), Genetic and phenotypic traits in livestock (9 papers), BRCA gene mutations in cancer (8 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). The work is most often cited by research in Cancer Research (278 citations), Obstetrics and Gynecology (143 citations) and Genetics (500 citations). Laurent Briollais has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Hilmi Özçelik, Bharati Bapat, Stephen J. Lye, Gilles Durrieu, Irene L. Andrulis, Yan Yan Wu, Craig E. Pennell, Yun‐Hee Choi, Julia A. Knight and Neil Fleshner. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Bioinformatics.
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.