Chris Greenman

18.9k total citations
29 papers, 1.3k citations indexed

About

Chris Greenman is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Chris Greenman has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Genetics and 9 papers in Cancer Research. Recurrent topics in Chris Greenman's work include Cancer Genomics and Diagnostics (8 papers), Genomic variations and chromosomal abnormalities (6 papers) and Advanced Thermodynamics and Statistical Mechanics (4 papers). Chris Greenman is often cited by papers focused on Cancer Genomics and Diagnostics (8 papers), Genomic variations and chromosomal abnormalities (6 papers) and Advanced Thermodynamics and Statistical Mechanics (4 papers). Chris Greenman collaborates with scholars based in United Kingdom, Brazil and Sweden. Chris Greenman's co-authors include Peter R. Cook, Steven Kelly, Argyris Papantonis, Michael R. Stratton, P. Andrew Futreal, Sarah Edkins, Thomas Santarius, Richard Wooster, Graham R. Bignell and Adam P. Butler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

In The Last Decade

Chris Greenman

28 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Greenman United Kingdom 14 957 691 310 144 101 29 1.3k
Adam P. Butler United Kingdom 14 913 1.0× 542 0.8× 457 1.5× 199 1.4× 159 1.6× 22 1.3k
William J. Lemon United States 16 905 0.9× 299 0.4× 189 0.6× 242 1.7× 84 0.8× 20 1.5k
Anne‐Katrin Emde United States 14 669 0.7× 389 0.6× 155 0.5× 271 1.9× 191 1.9× 19 1.1k
C Satoh Japan 19 523 0.5× 248 0.4× 306 1.0× 134 0.9× 28 0.3× 32 1.1k
Christian Perez-Llamas Spain 5 830 0.9× 594 0.9× 188 0.6× 192 1.3× 136 1.3× 7 1.2k
Saija Haapa-Paananen Finland 13 753 0.8× 358 0.5× 121 0.4× 124 0.9× 31 0.3× 24 967
Apostolos Dimitromanolakis Canada 24 628 0.7× 230 0.3× 269 0.9× 308 2.1× 63 0.6× 37 1.4k
Sjozèf van Baal Netherlands 18 1.5k 1.5× 140 0.2× 338 1.1× 273 1.9× 115 1.1× 23 2.2k

Countries citing papers authored by Chris Greenman

Since Specialization
Citations

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

Fields of papers citing papers by Chris Greenman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris Greenman. 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 Chris Greenman. The network helps show where Chris Greenman may publish in the future.

Co-authorship network of co-authors of Chris Greenman

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Greenman. A scholar is included among the top collaborators of Chris Greenman 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 Chris Greenman. Chris Greenman 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.
Greenman, Chris. (2023). Reaction diffusion systems and extensions of quantum stochastic processes. Journal of Physics A Mathematical and Theoretical. 56(23). 235002–235002. 2 indexed citations
2.
Greenman, Chris, et al.. (2020). The complexity of genome rearrangement combinatorics under the infinite sites model. Journal of Theoretical Biology. 501. 110335–110335. 2 indexed citations
3.
Higgins, Janet, Lawrence Percival‐Alwyn, Sarah Bastkowski, et al.. (2017). Heterarchy of transcription factors driving basal and luminal cell phenotypes in human urothelium. Cell Death and Differentiation. 24(5). 809–818. 30 indexed citations
4.
Chou, Tom & Chris Greenman. (2016). A kinetic theory for age-structured stochastic birth-death processes. Bulletin of the American Physical Society. 2016. 1 indexed citations
5.
Chou, Tom & Chris Greenman. (2016). A Hierarchical Kinetic Theory of Birth, Death and Fission in Age-Structured Interacting Populations. Journal of Statistical Physics. 164(1). 49–76. 29 indexed citations
6.
Greenman, Chris & Tom Chou. (2016). Kinetic theory of age-structured stochastic birth-death processes. Physical review. E. 93(1). 12112–12112. 20 indexed citations
7.
Beerenwinkel, Niko, Chris Greenman, & Jens Lagergren. (2016). Computational Cancer Biology: An Evolutionary Perspective. PLoS Computational Biology. 12(2). e1004717–e1004717. 42 indexed citations
8.
Wu, Taoyang, et al.. (2015). The combinatorics of tandem duplication. Discrete Applied Mathematics. 194. 1–22. 1 indexed citations
9.
Kelly, Steven, Chris Greenman, Peter R. Cook, & Argyris Papantonis. (2015). Exon Skipping Is Correlated with Exon Circularization. Journal of Molecular Biology. 427(15). 2414–2417. 315 indexed citations
10.
Greenman, Chris, Susanna L. Cooke, John Marshall, Michael R. Stratton, & Peter J. Campbell. (2015). Modeling the evolution space of breakage fusion bridge cycles with a stochastic folding process. Journal of Mathematical Biology. 72(1-2). 47–86. 10 indexed citations
11.
Petek, Bradley J., Chris Greenman, Joerg Herrmann, Michael S. Ewer, & Robin L. Jones. (2015). Cardio-Oncology: An Ongoing Evolution. Future Oncology. 11(14). 2059–2066. 11 indexed citations
12.
Roshan, Amit, Philip H. Jones, & Chris Greenman. (2014). Exact, time-independent estimation of clone size distributions in normal and mutated cells. Journal of The Royal Society Interface. 11(99). 20140654–20140654. 6 indexed citations
13.
Newman, Scott, Karen Howarth, Chris Greenman, et al.. (2013). The Relative Timing of Mutations in a Breast Cancer Genome. PLoS ONE. 8(6). e64991–e64991. 15 indexed citations
14.
Greenman, Chris, Erin Pleasance, Scott Newman, et al.. (2011). Estimation of rearrangement phylogeny for cancer genomes. Genome Research. 22(2). 346–361. 75 indexed citations
15.
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
16.
Choudhury, Bhudipa, Helen Davies, Sarah Edkins, et al.. (2009). LKB1/KRAS mutant lung cancers constitute a genetic subset of NSCLC with increased sensitivity to MAPK and mTOR signalling inhibition. British Journal of Cancer. 100(2). 370–375. 96 indexed citations
17.
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
18.
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
19.
Davies, Helen, Ed Dicks, Philip Stephens, et al.. (2006). High throughput DNA sequence variant detection by conformation sensitive capillary electrophoresis and automated peak comparison. Genomics. 87(3). 427–432. 32 indexed citations
20.
Cox, Charles, Graham R. Bignell, Chris Greenman, et al.. (2005). A survey of homozygous deletions in human cancer genomes. Proceedings of the National Academy of Sciences. 102(12). 4542–4547. 69 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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