Simon Forbes

33.7k total citations · 7 hit papers
46 papers, 11.2k citations indexed

About

Simon Forbes is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Simon Forbes has authored 46 papers receiving a total of 11.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 20 papers in Cancer Research and 17 papers in Genetics. Recurrent topics in Simon Forbes's work include Cancer Genomics and Diagnostics (20 papers), Genomics and Rare Diseases (13 papers) and Genetics, Bioinformatics, and Biomedical Research (7 papers). Simon Forbes is often cited by papers focused on Cancer Genomics and Diagnostics (20 papers), Genomics and Rare Diseases (13 papers) and Genetics, Bioinformatics, and Biomedical Research (7 papers). Simon Forbes collaborates with scholars based in United Kingdom, United States and Germany. Simon Forbes's co-authors include Sally Bamford, Michael R. Stratton, Nidhi Bindal, Chai Yin Kok, P. Andrew Futreal, Charlotte G. Cole, Mingming Jia, Sari Ward, Jon W. Teague and David Beare and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature reviews. Cancer.

In The Last Decade

Simon Forbes

46 papers receiving 11.1k citations

Hit Papers

Genomics of Drug Sensitivity in Cancer (GDSC): a resour... 2004 2026 2011 2018 2012 2010 2014 2016 2004 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Forbes United Kingdom 21 7.6k 4.0k 2.8k 2.2k 1.4k 46 11.2k
Nidhi Bindal United Kingdom 8 5.5k 0.7× 2.9k 0.7× 2.0k 0.7× 1.7k 0.8× 885 0.6× 15 8.0k
Barry S. Taylor United States 46 5.5k 0.7× 3.0k 0.7× 3.3k 1.2× 2.7k 1.3× 933 0.6× 118 9.9k
Ultan McDermott United Kingdom 39 8.2k 1.1× 3.6k 0.9× 4.8k 1.7× 3.9k 1.8× 696 0.5× 94 13.0k
Núria López-Bigas Spain 52 7.4k 1.0× 3.6k 0.9× 1.6k 0.6× 1.1k 0.5× 1.8k 1.2× 125 10.5k
Zoltán Szállási United States 58 9.9k 1.3× 4.1k 1.0× 4.7k 1.7× 2.0k 0.9× 1.5k 1.1× 194 15.0k
Daniel R. Rhodes United States 35 10.1k 1.3× 4.0k 1.0× 2.9k 1.0× 4.9k 2.3× 1.4k 0.9× 50 14.5k
Sally Bamford United Kingdom 12 5.6k 0.7× 3.1k 0.8× 2.1k 0.7× 1.2k 0.6× 1.3k 0.9× 19 8.1k
Sarat Chandarlapaty United States 51 6.3k 0.8× 2.9k 0.7× 6.0k 2.2× 4.1k 1.9× 1.5k 1.1× 205 12.6k
Terrence R. Barrette United States 21 11.1k 1.5× 5.1k 1.3× 2.2k 0.8× 2.6k 1.2× 880 0.6× 24 14.2k
Yiling Lu United States 64 11.6k 1.5× 2.9k 0.7× 3.5k 1.3× 1.1k 0.5× 873 0.6× 209 15.6k

Countries citing papers authored by Simon Forbes

Since Specialization
Citations

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

Fields of papers citing papers by Simon Forbes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Forbes

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Forbes. A scholar is included among the top collaborators of Simon Forbes 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 Simon Forbes. Simon Forbes 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
2.
Sońdka, Zbysław, Sally Bamford, Charlotte G. Cole, et al.. (2018). The COSMIC Cancer Gene Census: describing genetic dysfunction across all human cancers. Nature reviews. Cancer. 18(11). 696–705. 875 indexed citations breakdown →
3.
Forbes, Simon, David Beare, Harry Boutselakis, et al.. (2016). COSMIC: somatic cancer genetics at high-resolution. Nucleic Acids Research. 45(D1). D777–D783. 1291 indexed citations breakdown →
4.
Forbes, Simon, David Beare, Prasad Gunasekaran, et al.. (2014). COSMIC: exploring the world's knowledge of somatic mutations in human cancer. Nucleic Acids Research. 43(D1). D805–D811. 1693 indexed citations breakdown →
5.
Forbes, Simon, David Beare, Nidhi Bindal, et al.. (2014). 460: COSMIC: Exploring novel cancer biomarkers. European Journal of Cancer. 50. S111–S111. 1 indexed citations
6.
Yang, Wanjuan, Jorge Soares, Patricia Greninger, et al.. (2012). Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells. Nucleic Acids Research. 41(D1). D955–D961. 2597 indexed citations breakdown →
7.
Forbes, Simon, Nidhi Bindal, Sally Bamford, et al.. (2010). Abstract 93: COSMIC: The catalogue of somatic mutations in cancer receives full genome variant annotations. Cancer Research. 70(8_Supplement). 93–93. 1 indexed citations
8.
Forbes, Simon, Nidhi Bindal, Sally Bamford, et al.. (2009). COSMIC (the Catalogue of Somatic Mutations in Cancer): a resource to investigate acquired mutations in human cancer. Nucleic Acids Research. 38(suppl_1). D652–D657. 417 indexed citations
9.
Forbes, Simon, Jody Clements, Elisabeth Dawson, et al.. (2006). COSMIC 2005. British Journal of Cancer. 94(2). 318–322. 261 indexed citations
10.
Allcock, Richard J. N., Alexey Atrazhev, Pieter J. de Jong, et al.. (2002). The MHC haplotype project: A resource for HLA–linked association studies. Tissue Antigens. 59(6). 520–521. 47 indexed citations
11.
Amadou, Claire, Graeme Bethel, Anke Ehlers, et al.. (2001). Characterization of Clustered MHC-Linked Olfactory Receptor Genes in Human and Mouse. Genome Research. 11(4). 519–530. 13 indexed citations
12.
Ehlers, Anke, Stephan Beck, Simon Forbes, et al.. (2000). MHC-Linked Olfactory Receptor Loci Exhibit Polymorphism and Contribute to Extended HLA/OR-Haplotypes. Genome Research. 10(12). 1968–1978. 7 indexed citations
13.
Ziegler, Andreas, Anke Ehlers, Simon Forbes, et al.. (2000). Polymorphisms in olfactory receptor genes: a cautionary note. Human Immunology. 61(12). 1281–1284. 25 indexed citations
14.
Forbes, Simon, et al.. (1997). Estimation of the Age of the Ancestral Arginine3500→ Glutamine Mutation in Human ApoB-100. Genomics. 45(1). 78–87. 37 indexed citations
15.
Udomkit, Apinunt, Simon Forbes, C. Mclean, Irina R. Arkhipova, & David Finnegan. (1996). Control of expression of the I factor, a LINE-like transposable element in Drosophila melanogaster.. The EMBO Journal. 15(12). 3174–3181. 18 indexed citations
16.
Forbes, Simon, Michael P. Richardson, Alison J. Coffey, et al.. (1996). Refined Mapping and YAC Contig Construction of the X-Linked Cleft Palate and Ankyloglossia Locus (CPX) Including the Proximal X–Y Homology Breakpoint within Xq21.3. Genomics. 31(1). 36–43. 26 indexed citations
17.
Newton, Robert, et al.. (1994). Novel RFLPs and microsatellite repeats increase informativity at four loci mapping to Xq22-q25. Human Genetics. 93(2). 218–21. 1 indexed citations
19.
Newton, Robert, Simon Forbes, & Gudrun E. Moore. (1992). AnMsplpolymorphism at the DXS11 locus. Nucleic Acids Research. 20(5). 1162–1162. 3 indexed citations
20.
Stanier, Philip, Robert Newton, Simon Forbes, Alasdair Ivens, & Gudrun E. Moore. (1991). Polymorphic dinucleotide repeat at the DXS3 locus. Nucleic Acids Research. 19(17). 4793–4793. 15 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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