Christophe Lemetre

2.6k total citations · 1 hit paper
33 papers, 1.8k citations indexed

About

Christophe Lemetre is a scholar working on Molecular Biology, Pharmacology and Cancer Research. According to data from OpenAlex, Christophe Lemetre has authored 33 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 6 papers in Pharmacology and 6 papers in Cancer Research. Recurrent topics in Christophe Lemetre's work include Gene expression and cancer classification (11 papers), Genomics and Phylogenetic Studies (7 papers) and Microbial Natural Products and Biosynthesis (6 papers). Christophe Lemetre is often cited by papers focused on Gene expression and cancer classification (11 papers), Genomics and Phylogenetic Studies (7 papers) and Microbial Natural Products and Biosynthesis (6 papers). Christophe Lemetre collaborates with scholars based in United States, United Kingdom and Ireland. Christophe Lemetre's co-authors include Graham Ball, Sean F. Brady, Michael J. Kerin, Nicola Miller, Lee Lancashire, Melinda A. Ternei, R.E. McNeill, Vladimı́r Beneš, Aoïfe Lowery and Sabine Schmidt and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Christophe Lemetre

31 papers receiving 1.8k citations

Hit Papers

Commensal bacteria make G... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christophe Lemetre United States 20 1.3k 559 257 207 155 33 1.8k
Irene M. Ong United States 26 1.4k 1.1× 247 0.4× 95 0.4× 195 0.9× 225 1.5× 88 2.3k
Jiajia Chen China 27 1.6k 1.2× 771 1.4× 108 0.4× 127 0.6× 67 0.4× 109 2.5k
Ming Fang China 26 688 0.5× 224 0.4× 125 0.5× 143 0.7× 95 0.6× 97 1.6k
Kazım Yalçın Arğa Türkiye 27 1.4k 1.1× 374 0.7× 68 0.3× 249 1.2× 134 0.9× 119 2.3k
Kaj Albermann Germany 9 1.5k 1.2× 311 0.6× 110 0.4× 96 0.5× 219 1.4× 12 2.5k
Lianhe Zhao China 9 1.4k 1.1× 775 1.4× 101 0.4× 110 0.5× 73 0.5× 15 2.4k
Yang Wu China 19 2.0k 1.5× 925 1.7× 172 0.7× 118 0.6× 85 0.5× 63 3.5k
Kan He China 26 852 0.7× 227 0.4× 146 0.6× 296 1.4× 113 0.7× 102 1.8k
Shaherin Basith South Korea 33 2.4k 1.8× 275 0.5× 89 0.3× 155 0.7× 139 0.9× 57 3.6k
Andris Jankevics United Kingdom 20 1.6k 1.2× 413 0.7× 141 0.5× 174 0.8× 111 0.7× 39 2.3k

Countries citing papers authored by Christophe Lemetre

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Christophe Lemetre

This figure shows the co-authorship network connecting the top 25 collaborators of Christophe Lemetre. A scholar is included among the top collaborators of Christophe Lemetre based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christophe Lemetre. Christophe Lemetre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
3.
Libis, Vincent, Niv Antonovsky, Zhuo Shang, et al.. (2019). Uncovering the biosynthetic potential of rare metagenomic DNA using co-occurrence network analysis of targeted sequences. Nature Communications. 10(1). 3848–3848. 51 indexed citations
4.
Vila‐Farrés, Xavier, John Chu, Melinda A. Ternei, et al.. (2018). An Optimized Synthetic-Bioinformatic Natural Product Antibiotic Sterilizes Multidrug-Resistant Acinetobacter baumannii-Infected Wounds. mSphere. 3(1). 18 indexed citations
5.
Bitok, J. Kipchirchir, Christophe Lemetre, Melinda A. Ternei, & Sean F. Brady. (2017). Identification of biosynthetic gene clusters from metagenomic libraries using PPTase complementation in a Streptomyces host. FEMS Microbiology Letters. 364(16). 20 indexed citations
6.
Cohen, Louis, Daria Esterházy, Seong-Hwan Kim, et al.. (2017). Commensal bacteria make GPCR ligands that mimic human signalling molecules. Nature. 549(7670). 48–53. 349 indexed citations breakdown →
7.
Lemetre, Christophe, Begoña Vieites, Charlotte K.Y. Ng, et al.. (2016). RNASeq analysis reveals biological processes governing the clinical behaviour of endometrioid and serous endometrial cancers. European Journal of Cancer. 64. 149–158. 8 indexed citations
8.
Lemetre, Christophe, Maryou B. Lambros, Elzbieta Stankiewicz, et al.. (2016). DNA Copy Number Aberrations, and Human Papillomavirus Status in Penile Carcinoma. Clinico-Pathological Correlations and Potential Driver Genes. PLoS ONE. 11(2). e0146740–e0146740. 18 indexed citations
9.
Athanasiadou, Rodoniki, Christophe Lemetre, N. Ari Wijetunga, et al.. (2015). RNA:DNA hybrids in the human genome have distinctive nucleotide characteristics, chromatin composition, and transcriptional relationships. Epigenetics & Chromatin. 8(1). 46–46. 127 indexed citations
10.
Ng, Charlotte K.Y., Britta Weigelt, Roger A’Hern, et al.. (2014). Predictive Performance of Microarray Gene Signatures: Impact of Tumor Heterogeneity and Multiple Mechanisms of Drug Resistance. Cancer Research. 74(11). 2946–2961. 15 indexed citations
11.
Tong, Dong, David J. Boocock, Gopal Krishna Dhondalay, Christophe Lemetre, & Graham Ball. (2014). Artificial Neural Network Inference (ANNI): A Study on Gene-Gene Interaction for Biomarkers in Childhood Sarcomas. PLoS ONE. 9(7). e102483–e102483. 27 indexed citations
12.
Rakha, Emad A., Daniele Soria, Andrew R. Green, et al.. (2014). Nottingham Prognostic Index Plus (NPI+): a modern clinical decision making tool in breast cancer. British Journal of Cancer. 110(7). 1688–1697. 71 indexed citations
13.
Powe, Desmond G., Gopal Krishna Dhondalay, Christophe Lemetre, et al.. (2014). DACH1: Its Role as a Classifier of Long Term Good Prognosis in Luminal Breast Cancer. PLoS ONE. 9(1). e84428–e84428. 25 indexed citations
14.
Green, Andrew R., Des G. Powe, Emad A. Rakha, et al.. (2013). Identification of key clinical phenotypes of breast cancer using a reduced panel of protein biomarkers. British Journal of Cancer. 109(7). 1886–1894. 30 indexed citations
15.
Lemetre, Christophe & Zhengdong D. Zhang. (2013). A Brief Introduction to Tiling Microarrays: Principles, Concepts, and Applications. Methods in molecular biology. 1067. 3–19. 3 indexed citations
16.
Kheirelseid, Elrasheid A. H., Nicola Miller, Kah Hoong Chang, et al.. (2012). miRNA expressions in rectal cancer as predictors of response to neoadjuvant chemoradiation therapy. International Journal of Colorectal Disease. 28(2). 247–260. 64 indexed citations
17.
Chang, Kah Hoong, Nicola Miller, Elrasheid A. H. Kheirelseid, et al.. (2011). MicroRNA signature analysis in colorectal cancer: identification of expression profiles in stage II tumors associated with aggressive disease. International Journal of Colorectal Disease. 26(11). 1415–1422. 95 indexed citations
18.
Ahmad, Murrium, Graham Ball, Clare Coveney, et al.. (2010). Serum biomarkers which correlate with failure to respond to immunotherapy and tumor progression in a murine colorectal cancer model. PROTEOMICS - CLINICAL APPLICATIONS. 4(8-9). 682–696. 6 indexed citations
19.
Lowery, Aoïfe, Nicola Miller, R.E. McNeill, et al.. (2009). MicroRNA signatures predict oestrogen receptor, progesterone receptor and HER2/neureceptor status in breast cancer. Breast Cancer Research. 11(3). R27–R27. 345 indexed citations
20.
Lancashire, Lee, D. G. Powe, Jorge S. Reis‐Filho, et al.. (2009). A validated gene expression profile for detecting clinical outcome in breast cancer using artificial neural networks. Breast Cancer Research and Treatment. 120(1). 83–93. 55 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026