Laurence Gamé
Impact in
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
Papers in
- Genetics 9
- Hemoglobinopathies and Related Disorders 6
- Co-authors
- Timothy J. AitmanEnrico PetrettoMariano BarbieriJames A. FraserPaul A. EdwardsMita ChotaliaRobert A. BeagrieJosée Dostie
- Journals
- British Journal of Haematology (3 papers)BMC Bioinformatics (3 papers)PLoS ONE (3 papers)Microbial Genomics (2 papers)Genome biology (2 papers)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Laurence Gamé
55 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Molecular Biology 1.4k
- Genetics 188
- Information Systems and Management 99
- Immunology 270
- Cancer Research 189
Countries citing papers authored by Laurence Gamé
This map shows the geographic impact of Laurence Gamé'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 Laurence Gamé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurence Gamé more than expected).
Fields of papers citing papers by Laurence Gamé
This network shows the impact of papers produced by Laurence Gamé. 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 Laurence Gamé. The network helps show where Laurence Gamé may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Laurence Gamé, 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 | 2025 | 0 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 22 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 6 | |
| 6 | 2019 | 12 | |
| 7 | 2019 | 13 | |
| 8 | 2019 | 39 | |
| 9 | 2016 | 38 | |
| 10 | 2014 | 14 | |
| 11 | 2013 | 56 | |
| 12 | 2010 | 6 | |
| 13 | 2008 | 15 | |
| 14 | 2006 | 38 | |
| 15 | 2005 | 15 | |
| 16 | 2003 | 3 | |
| 17 | 2003 | 20 | |
| 18 | 2000 | 10 | |
| 19 | A candidate gene study of F cell levels in sibling pairs using a joint linkage and association analysis. | 1999 | 2 |
| 20 | 1996 | 15 |
About Laurence Gamé
Laurence Gamé is a scholar working on Genetics, Immunology, Cancer Research, Hematology and Biophysics, having authored 57 papers that have together received 2.4k indexed citations. Recurring topics across this work include Gene expression and cancer classification (6 papers), Hemoglobinopathies and Related Disorders (6 papers), Single-cell and spatial transcriptomics (5 papers), Streptococcal Infections and Treatments (5 papers), Bioinformatics and Genomic Networks (5 papers), MicroRNA in disease regulation (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Genetics (188 citations), Information Systems and Management (99 citations), Immunology (270 citations) and Cancer Research (189 citations). Laurence Gamé has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Timothy J. Aitman, Enrico Petretto, Mariano Barbieri, James A. Fraser, Paul A. Edwards, Mita Chotalia, Robert A. Beagrie, Josée Dostie, Mario Nicodemi and Sheila Q. Xie. Their work appears in journals such as British Journal of Haematology, BMC Bioinformatics, PLoS ONE, Microbial Genomics and Genome 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.