Adam P. Butler

71.2k total citations
22 papers, 1.3k citations indexed

About

Adam P. Butler is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Adam P. Butler has authored 22 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Genetics and 9 papers in Cancer Research. Recurrent topics in Adam P. Butler's work include Cancer Genomics and Diagnostics (9 papers), Genomic variations and chromosomal abnormalities (6 papers) and Genomics and Phylogenetic Studies (6 papers). Adam P. Butler is often cited by papers focused on Cancer Genomics and Diagnostics (9 papers), Genomic variations and chromosomal abnormalities (6 papers) and Genomics and Phylogenetic Studies (6 papers). Adam P. Butler collaborates with scholars based in United Kingdom, United States and Netherlands. Adam P. Butler's co-authors include Michael R. Stratton, Graham R. Bignell, P. Andrew Futreal, Peter J. Campbell, Serena Nik‐Zainal, Helen Davies, Richard Wooster, Sarah Edkins, Chris Greenman and Thomas Santarius and has published in prestigious journals such as Nature Communications, Nature Genetics and Bioinformatics.

In The Last Decade

Adam P. Butler

21 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adam P. Butler United Kingdom 14 913 542 457 199 159 22 1.3k
Markus J. van Roosmalen Netherlands 17 650 0.7× 344 0.6× 352 0.8× 180 0.9× 114 0.7× 26 1.1k
Sara Widaa United Kingdom 3 762 0.8× 632 1.2× 266 0.6× 354 1.8× 159 1.0× 3 1.3k
Simon Brunner Austria 14 896 1.0× 389 0.7× 231 0.5× 133 0.7× 93 0.6× 41 1.4k
Vijay S. Tonk United States 21 1.2k 1.3× 250 0.5× 689 1.5× 342 1.7× 126 0.8× 72 1.9k
Anne‐Katrin Emde United States 14 669 0.7× 389 0.7× 155 0.3× 271 1.4× 191 1.2× 19 1.1k
Gerald Gooden United States 13 921 1.0× 323 0.6× 192 0.4× 222 1.1× 92 0.6× 24 1.3k
James P. Vaughn United States 24 1.8k 2.0× 173 0.3× 409 0.9× 427 2.1× 59 0.4× 33 2.2k
Rosa‐Ana Risques Spain 7 629 0.7× 548 1.0× 203 0.4× 262 1.3× 203 1.3× 8 1.2k
Sabrina A. Stratton United States 21 1.7k 1.9× 350 0.6× 200 0.4× 354 1.8× 59 0.4× 23 1.9k

Countries citing papers authored by Adam P. Butler

Since Specialization
Citations

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

Fields of papers citing papers by Adam P. Butler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam P. Butler. 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 Adam P. Butler. The network helps show where Adam P. Butler may publish in the future.

Co-authorship network of co-authors of Adam P. Butler

This figure shows the co-authorship network connecting the top 25 collaborators of Adam P. Butler. A scholar is included among the top collaborators of Adam P. Butler 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 Adam P. Butler. Adam P. Butler 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.
Velasco‐Herrera, Martin Del Castillo, Mathew A. Beale, Kim Wong, et al.. (2025). SPARKI: a tool for the statistical analysis of pathogen identification results. Bioinformatics. 41(11).
2.
Butler, Adam P., et al.. (2023). Valproate-Induced Hyperammonemic Encephalopathy Causing New-Onset Seizures. Cureus. 15(10). e47288–e47288. 2 indexed citations
3.
Offord, Victoria, Elizabeth J. Radford, Adam P. Butler, et al.. (2021). Variant Library Annotation Tool (VaLiAnT): an oligonucleotide library design and annotation tool for saturation genome editing and other deep mutational scanning experiments. Bioinformatics. 38(4). 892–899. 6 indexed citations
4.
Maura, Francesco, Anna Dodero, Cristiana Carniti, et al.. (2020). <i>CDKN2A</i> deletion is a frequent event associated with poor outcome in patients with peripheral T-cell lymphoma not otherwise specified (PTCL-NOS). Haematologica. 106(11). 2918–2926. 22 indexed citations
5.
Simpson, William, et al.. (2019). P4‐542: UTILITY OF SPEECH‐BASED DIGITAL BIOMARKERS FOR EVALUATING DISEASE PROGRESSION IN CLINICAL TRIALS OF ALZHEIMER'S DISEASE. Alzheimer s & Dementia. 15(7S_Part_29). 4 indexed citations
6.
Picco, Gabriele, Elisabeth Chen, Luz García‐Alonso, et al.. (2019). Functional linkage of gene fusions to cancer cell fitness assessed by pharmacological and CRISPR-Cas9 screening. Nature Communications. 10(1). 2198–2198. 78 indexed citations
7.
Iorio, Francesco, Fiona M. Behan, Emanuel Gonçalves, et al.. (2018). Unsupervised correction of gene-independent cell responses to CRISPR-Cas9 targeting. BMC Genomics. 19(1). 604–604. 70 indexed citations
8.
Teague, Jon W., Adam P. Butler, Helen Davies, et al.. (2015). VAGrENT: Variation Annotation Generator. Current Protocols in Bioinformatics. 52(1). 15.8.1–15.8.11. 9 indexed citations
9.
Raine, Keiran, Jonathan Hinton, Adam P. Butler, et al.. (2015). cgpPindel: Identifying Somatically Acquired Insertion and Deletion Events from Paired End Sequencing. Current Protocols in Bioinformatics. 52(1). 15.7.1–15.7.12. 44 indexed citations
10.
Chew, Su Kit, Dong Lu, Lia S. Campos, et al.. (2014). Polygenic in vivovalidation of cancer mutations using transposons. Genome biology. 15(9). 455–455. 3 indexed citations
11.
Nik‐Zainal, Serena, David C. Wedge, Ludmil B. Alexandrov, et al.. (2014). Association of a germline copy number polymorphism of APOBEC3A and APOBEC3B with burden of putative APOBEC-dependent mutations in breast cancer. Nature Genetics. 46(5). 487–491. 208 indexed citations
12.
Shepherd, Rebecca, Simon Forbes, David Beare, et al.. (2011). Data mining using the Catalogue of Somatic Mutations in Cancer BioMart. Database. 2011(0). bar018–bar018. 35 indexed citations
13.
Kool, Jaap, Anthony G. Uren, Jeroen de Ridder, et al.. (2010). Novel Candidate Cancer Genes Identified by a Large-Scale Cross-Species Comparative Oncogenomics Approach. Cancer Research. 70(3). 883–895. 34 indexed citations
14.
Santarius, Thomas, Graham R. Bignell, Chris Greenman, et al.. (2010). GLO1—A novel amplified gene in human cancer. Genes Chromosomes and Cancer. 49(8). 711–725. 90 indexed citations
15.
Menzies, Andrew, Philip J. Stephens, David Beare, et al.. (2010). Abstract 90: Mining for cancer causing mutations in whole genome sequence data. Cancer Research. 70(8_Supplement). 90–90. 1 indexed citations
16.
Greenman, Chris, Graham R. Bignell, Adam P. Butler, et al.. (2009). PICNIC: an algorithm to predict absolute allelic copy number variation with microarray cancer data. Biostatistics. 11(1). 164–175. 135 indexed citations
17.
Bignell, Graham R., Thomas Santarius, Jessica C. Pole, et al.. (2007). Architectures of somatic genomic rearrangement in human cancer amplicons at sequence-level resolution. Genome Research. 17(9). 1296–1303. 143 indexed citations
18.
Dicks, Ed, Jon W. Teague, Philip Stephens, et al.. (2007). AutoCSA, an algorithm for high throughput DNA sequence variant detection in cancer genomes. Bioinformatics. 23(13). 1689–1691. 8 indexed citations
19.
Bignell, Graham R., Jing Huang, Joel Greshock, et al.. (2004). High-Resolution Analysis of DNA Copy Number Using Oligonucleotide Microarrays. Genome Research. 14(2). 287–295. 281 indexed citations
20.
Tine, Brian A. Van, Judith Knops, Adam P. Butler, et al.. (1998). Localization ofHuC(ELAVL3) to Chromosome 19p13.2 by Fluorescencein SituHybridization Utilizing a Novel Tyramide Labeling Technique. Genomics. 53(3). 296–299. 13 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.

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