Christophe Lemetre
- Cancer Research top 5%
- Breast Cancer Treatment Studies 3
- Cancer-related molecular mechanisms research 3
- Molecular Biology top 5%
- Gene expression and cancer classification 11
- Genomics and Phylogenetic Studies 7
- Bioinformatics and Genomic Networks 6
- Pharmacology top 5%
- Microbial Natural Products and Biosynthesis 6
- Aging top 10%
-
- Reproductive tract infections research 2
-
- AI in cancer detection 2
- Co-authors
- Graham BallSean F. BradyMichael J. KerinNicola MillerLee LancashireMelinda A. TerneiR.E. McNeillAoïfe Lowery
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (2 papers)Journal of the American Chemical Society (2 papers)
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
Christophe Lemetre
31 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Cancer Research 559
- Molecular Biology 1.3k
- Pharmacology 257
- Aging 25
- Biological Psychiatry 30
Countries citing papers authored by Christophe Lemetre
This map shows the geographic impact of Christophe Lemetre'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 Christophe Lemetre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christophe Lemetre more than expected).
Fields of papers citing papers by Christophe Lemetre
This network shows the impact of papers produced by Christophe Lemetre. 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 Christophe Lemetre. The network helps show where Christophe Lemetre may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christophe Lemetre, 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 | 2024 | 0 | |
| 3 | 2019 | 51 | |
| 4 | 2018 | 18 | |
| 5 | Commensal bacteria make GPCR ligands that mimic human signalling moleculesbreakdown → | 2017 | 349 |
| 6 | 2017 | 20 | |
| 7 | 2016 | 8 | |
| 8 | 2016 | 18 | |
| 9 | 2015 | 127 | |
| 10 | 2014 | 15 | |
| 11 | 2014 | 27 | |
| 12 | 2014 | 71 | |
| 13 | 2014 | 25 | |
| 14 | 2013 | 3 | |
| 15 | 2013 | 30 | |
| 16 | 2012 | 64 | |
| 17 | 2011 | 95 | |
| 18 | 2010 | 6 | |
| 19 | 2009 | 55 | |
| 20 | 2009 | 345 |
About Christophe Lemetre
Christophe Lemetre is a scholar working on Microbiology, Cancer Research and Molecular Biology, having authored 33 papers that have together received 1.8k indexed citations. Recurring topics across this work include Gene expression and cancer classification (11 papers), Genomics and Phylogenetic Studies (7 papers), Microbial Natural Products and Biosynthesis (6 papers), Bioinformatics and Genomic Networks (6 papers), Breast Cancer Treatment Studies (3 papers), Cancer-related molecular mechanisms research (3 papers), Reproductive tract infections research (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Cancer Research (559 citations), Molecular Biology (1.3k citations) and Pharmacology (257 citations). Christophe Lemetre has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Graham Ball, Sean F. Brady, Michael J. Kerin, Nicola Miller, Lee Lancashire, Melinda A. Ternei, R.E. McNeill, Aoïfe Lowery, Vladimı́r Beneš and Sabine Schmidt. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.