Laurent Gil
Impact in
- Genetics top 0.5%
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
Papers in
- Genetics 6
- Genomics and Rare Diseases 4
- Genetic Associations and Epidemiology 4
- Race, Genetics, and Society 1
- BRCA gene mutations in cancer 1
- Genetic and phenotypic traits in livestock 1
- Co-authors
- Paul FlicekFiona CunninghamAnja ThormannWilliam McLarenSarah HuntGraham R. S. RitchieHarpreet Singh RiatJacqueline A. L. MacArthur
- Journals
- Nature Genetics (2 papers)Nucleic Acids Research (2 papers)Genome biology (1 paper)Database (1 paper)BMC Plant Biology (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Laurent Gil
7 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Genetics 3.0k
- Cancer Research 1.0k
- Molecular Biology 3.1k
- Pathology and Forensic Medicine 389
- Immunology 422
Countries citing papers authored by Laurent Gil
This map shows the geographic impact of Laurent Gil'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 Gil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurent Gil more than expected).
Fields of papers citing papers by Laurent Gil
This network shows the impact of papers produced by Laurent Gil. 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 Gil. The network helps show where Laurent Gil may publish in the future.
Co-authors
The 25 scholars most cited alongside Laurent Gil, 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 | 2024 | 14 | |
| 2 | The Polygenic Score Catalog as an open database for reproducibility and systematic evaluation Hit paper breakdown → | 2021 | 320 |
| 3 | Ensembl variation resources Hit paper breakdown → | 2018 | 309 |
| 4 | The Ensembl Variant Effect Predictor Hit paper breakdown → | 2016 | 4020 |
| 5 | The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog) Hit paper breakdown → | 2016 | 1346 |
| 6 | 2013 | 45 | |
| 7 | 2011 | 36 |
About Laurent Gil
Laurent Gil is a scholar working on Genetics, Pharmacology, Molecular Biology, Pathology and Forensic Medicine and Infectious Diseases, having authored 7 papers that have together received 6.1k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (4 papers), Genetic Associations and Epidemiology (4 papers), Gene expression and cancer classification (2 papers), Metabolomics and Mass Spectrometry Studies (1 paper), Race, Genetics, and Society (1 paper), Ginseng Biological Effects and Applications (1 paper), BRCA gene mutations in cancer (1 paper) and Genetic and phenotypic traits in livestock (1 paper). The work is most often cited by research in Genetics (3.0k citations), Cancer Research (1.0k citations), Molecular Biology (3.1k citations), Pathology and Forensic Medicine (389 citations) and Immunology (422 citations). Laurent Gil has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Paul Flicek, Fiona Cunningham, Anja Thormann, William McLaren, Sarah Hunt, Graham R. S. Ritchie, Harpreet Singh Riat, Jacqueline A. L. MacArthur, Aoife McMahon and Helen Parkinson. Their work appears in journals such as Nature Genetics, Nucleic Acids Research, Genome biology, Database and BMC Plant Biology.
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.