Lee M Butcher

4.7k total citations · 1 hit paper
37 papers, 2.6k citations indexed

About

Lee M Butcher is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Lee M Butcher has authored 37 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 21 papers in Genetics and 3 papers in Cognitive Neuroscience. Recurrent topics in Lee M Butcher's work include Epigenetics and DNA Methylation (17 papers), Genetic Associations and Epidemiology (10 papers) and RNA modifications and cancer (10 papers). Lee M Butcher is often cited by papers focused on Epigenetics and DNA Methylation (17 papers), Genetic Associations and Epidemiology (10 papers) and RNA modifications and cancer (10 papers). Lee M Butcher collaborates with scholars based in United Kingdom, United States and Germany. Lee M Butcher's co-authors include Stephan Beck, Robert Plomin, Tiffany Morris, Andrew E. Teschendorff, Andrew Feber, Ankur Chakravarthy, Tomasz K. Wojdacz, Ian Craig, Leonard C. Schalkwyk and Angelica Ronald and has published in prestigious journals such as Nature Communications, Bioinformatics and Cancer Cell.

In The Last Decade

Lee M Butcher

37 papers receiving 2.6k citations

Hit Papers

ChAMP: 450k Chip Analysis Methylation Pipeline 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lee M Butcher United Kingdom 26 1.6k 992 417 316 181 37 2.6k
Marcel Nelen Netherlands 26 1.6k 1.0× 1.1k 1.1× 297 0.7× 283 0.9× 164 0.9× 56 3.5k
Kyoko Watanabe Netherlands 16 1.3k 0.8× 1.9k 1.9× 323 0.8× 186 0.6× 191 1.1× 34 3.9k
Ken Inoue Japan 35 2.5k 1.6× 1.3k 1.3× 182 0.4× 234 0.7× 192 1.1× 175 4.6k
Josué Feingold France 34 1.3k 0.8× 791 0.8× 228 0.5× 125 0.4× 438 2.4× 89 3.8k
Idan Menashe Israel 25 747 0.5× 749 0.8× 745 1.8× 227 0.7× 110 0.6× 88 2.5k
Luis A. Pérez‐Jurado Spain 36 1.6k 1.0× 1.5k 1.5× 365 0.9× 222 0.7× 365 2.0× 105 3.5k
Kimberly F. Doheny United States 28 1.8k 1.2× 1.3k 1.3× 146 0.4× 305 1.0× 111 0.6× 48 3.8k
Irma Järvelä Finland 42 1.7k 1.1× 2.3k 2.3× 972 2.3× 143 0.5× 186 1.0× 146 5.6k
Jennifer L. Moran United States 33 2.7k 1.7× 2.3k 2.3× 325 0.8× 264 0.8× 147 0.8× 62 4.7k
Andrew R. Zinn United States 40 2.1k 1.3× 2.4k 2.4× 375 0.9× 86 0.3× 237 1.3× 82 4.3k

Countries citing papers authored by Lee M Butcher

Since Specialization
Citations

This map shows the geographic impact of Lee M Butcher'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 Lee M Butcher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee M Butcher more than expected).

Fields of papers citing papers by Lee M Butcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee M Butcher. 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 Lee M Butcher. The network helps show where Lee M Butcher may publish in the future.

Co-authorship network of co-authors of Lee M Butcher

This figure shows the co-authorship network connecting the top 25 collaborators of Lee M Butcher. A scholar is included among the top collaborators of Lee M Butcher 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 Lee M Butcher. Lee M Butcher 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
1.
Frampton, Dan, Hagen Schwenzer, Gabriele Marino, et al.. (2018). Molecular Signatures of Regression of the Canine Transmissible Venereal Tumor. Cancer Cell. 33(4). 620–633.e6. 35 indexed citations
2.
Butcher, Lee M & Stephan Beck. (2015). Nano-MeDIP-seq Methylome Analysis Using Low DNA Concentrations. Methods in molecular biology. 1589. 115–138. 1 indexed citations
3.
Guilhamon, Paul, Lee M Butcher, Nadège Presneau, et al.. (2014). Assessment of patient-derived tumour xenografts (PDXs) as a discovery tool for cancer epigenomics. Genome Medicine. 6(12). 116–116. 19 indexed citations
4.
Paul, Dirk S., Paul Guilhamon, Anna Karpathakis, et al.. (2014). Assessment of RainDrop BS-seq as a method for large-scale, targeted bisulfite sequencing. Epigenetics. 9(5). 678–684. 22 indexed citations
5.
Lechner, Matthias, Tim R. Fenton, James D. West, et al.. (2013). Identification and functional validation of HPV-mediated hypermethylation in head and neck squamous cell carcinoma. Genome Medicine. 5(2). 15–15. 105 indexed citations
6.
Wilson, Gareth A., Tiffany Morris, Stefanie Seisenberger, et al.. (2012). Methylome analysis using MeDIP-seq with low DNA concentrations. Nature Protocols. 7(4). 617–636. 225 indexed citations
7.
Bell, Christopher G., Gareth A. Wilson, Lee M Butcher, et al.. (2012). Human-specific CpG “beacons” identify loci associated with human-specific traits and disease. Epigenetics. 7(10). 1188–1199. 27 indexed citations
8.
Butcher, Lee M & Stephan Beck. (2010). AutoMeDIP-seq: A high-throughput, whole genome, DNA methylation assay. Methods. 52(3). 223–231. 34 indexed citations
10.
Haworth, Claire M. A., Lee M Butcher, Sophia Docherty, Jane Wardle, & Robert Plomin. (2008). No evidence for association between BMI and 10 candidate genes at ages 4, 7 and 10 in a large UK sample of twins. BMC Medical Genetics. 9(1). 12–12. 14 indexed citations
11.
Butcher, Lee M & Stephan Beck. (2008). Future impact of integrated high-throughput methylome analyses on human health and disease. Journal of genetics and genomics. 35(7). 391–401. 30 indexed citations
12.
Butcher, Lee M & Robert Plomin. (2008). The Nature of Nurture: A Genomewide Association Scan for Family Chaos. Behavior Genetics. 38(4). 361–371. 27 indexed citations
13.
Butcher, Lee M, Oliver S. P. Davis, Ian Craig, & Robert Plomin. (2007). Genome‐wide quantitative trait locus association scan of general cognitive ability using pooled DNA and 500K single nucleotide polymorphism microarrays. Genes Brain & Behavior. 7(4). 435–446. 102 indexed citations
14.
Docherty, Sophia, Lee M Butcher, Leonard C. Schalkwyk, & Robert Plomin. (2007). Applicability of DNA pools on 500 K SNP microarrays for cost-effective initial screens in genomewide association studies. BMC Genomics. 8(1). 214–214. 37 indexed citations
15.
Ronald, Angelica, Francesca Happé, Patrick Bolton, et al.. (2006). Genetic Heterogeneity Between the Three Components of the Autism Spectrum: A Twin Study. Journal of the American Academy of Child & Adolescent Psychiatry. 45(6). 691–699. 346 indexed citations
16.
Butcher, Lee M, Emma L. Meaburn, Jo Knight, et al.. (2005). SNPs, microarrays and pooled DNA: identification of four loci associated with mild mental impairment in a sample of 6000 children. Human Molecular Genetics. 14(10). 1315–1325. 69 indexed citations
17.
Butcher, Lee M, Emma L. Meaburn, Philip S. Dale, et al.. (2004). Association analysis of mild mental impairment using DNA pooling to screen 432 brain-expressed single-nucleotide polymorphisms. Molecular Psychiatry. 10(4). 384–392. 39 indexed citations
18.
Butcher, Lee M, Emma L. Meaburn, Lin Liu, et al.. (2004). Genotyping Pooled DNA on Microarrays: A Systematic Genome Screen of Thousands of SNPs in Large Samples to Detect QTLs for Complex Traits. Behavior Genetics. 34(5). 549–555. 78 indexed citations
19.
Butcher, Lee M, et al.. (2002). MSX1 and high cognitive ability. American Journal of Medical Genetics Part A. 114(7). 1 indexed citations
20.
Butcher, Lee M, Emma L. Meaburn, Linzy Hill, Robert Plomin, & Leonard C. Schalkwyk. (2002). How many non-synonymous SNPS are available on public databases?. American Journal of Medical Genetics Part A. 114(7). 1 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