Sean Humphray

56.3k total citations · 2 hit papers
34 papers, 5.3k citations indexed

About

Sean Humphray is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Sean Humphray has authored 34 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 17 papers in Genetics and 8 papers in Plant Science. Recurrent topics in Sean Humphray's work include Chromosomal and Genetic Variations (8 papers), Genomic variations and chromosomal abnormalities (7 papers) and Genomics and Phylogenetic Studies (4 papers). Sean Humphray is often cited by papers focused on Chromosomal and Genetic Variations (8 papers), Genomic variations and chromosomal abnormalities (7 papers) and Genomics and Phylogenetic Studies (4 papers). Sean Humphray collaborates with scholars based in United Kingdom, United States and Netherlands. Sean Humphray's co-authors include Carlos Caldas, Tim Forshew, Suet‐Feung Chin, Nitzan Rosenfeld, Dana W.Y. Tsui, Davina Gale, Muhammed Murtaza, Sarah‐Jane Dawson, David Bentley and Jane Rogers and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Sean Humphray

34 papers receiving 5.2k citations

Hit Papers

Analysis of Circulating Tumor DNA to Monitor Metastatic B... 2013 2026 2017 2021 2013 2013 500 1000 1.5k

Peers

Sean Humphray
Iñigo Martincorena United Kingdom
Iwanka Kozarewa United Kingdom
Valeri Vasioukhin United States
George L. Mutter United States
Nicholas C. Dracopoli United States
Anton Berns Netherlands
Jude Kendall United States
Anton H. N. Hopman Netherlands
A. Malcolm R. Taylor United Kingdom
Iñigo Martincorena United Kingdom
Sean Humphray
Citations per year, relative to Sean Humphray Sean Humphray (= 1×) peers Iñigo Martincorena

Countries citing papers authored by Sean Humphray

Since Specialization
Citations

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

Fields of papers citing papers by Sean Humphray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean Humphray

This figure shows the co-authorship network connecting the top 25 collaborators of Sean Humphray. A scholar is included among the top collaborators of Sean Humphray 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 Sean Humphray. Sean Humphray 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.
Raiber, Eun‐Ang, Dario Beraldi, Sergio Martínez Cuesta, et al.. (2017). Base resolution maps reveal the importance of 5-hydroxymethylcytosine in a human glioblastoma. npj Genomic Medicine. 2(1). 6–6. 19 indexed citations
2.
Eberle, Michael A., Epameinondas Fritzilas, Peter Krusche, et al.. (2016). A reference data set of 5.4 million phased human variants validated by genetic inheritance from sequencing a three-generation 17-member pedigree. Genome Research. 27(1). 157–164. 220 indexed citations
3.
Walker, Brian A., Christopher P. Wardell, Lorenzo Melchor, et al.. (2013). Intraclonal heterogeneity is a critical early event in the development of myeloma and precedes the development of clinical symptoms. Leukemia. 28(2). 384–390. 204 indexed citations
4.
Dawson, Sarah‐Jane, Dana W.Y. Tsui, Muhammed Murtaza, et al.. (2013). Analysis of Circulating Tumor DNA to Monitor Metastatic Breast Cancer. New England Journal of Medicine. 368(13). 1199–1209. 1634 indexed citations breakdown →
5.
Murtaza, Muhammed, Sarah‐Jane Dawson, Dana W.Y. Tsui, et al.. (2013). Non-invasive analysis of acquired resistance to cancer therapy by sequencing of plasma DNA. Nature. 497(7447). 108–112. 1219 indexed citations breakdown →
6.
Hu, Zhi‐Liang, A. M. Ramos, Sean Humphray, et al.. (2011). Use of Genome Sequence Information for Meat Quality Trait QTL Mining for Casual Genes and Mutations on Pig Chromosome 17. SHILAP Revista de lepidopterología. 2. 43–43. 4 indexed citations
7.
Carbone, Lucia, R. Alan Harris, Alan R. Mootnick, et al.. (2009). Evolutionary Breakpoints in the Gibbon Suggest Association between Cytosine Methylation and Karyotype Evolution. PLoS Genetics. 5(6). e1000538–e1000538. 66 indexed citations
8.
Wood, Henry M., J. Grahame, Sean Humphray, Jane Rogers, & Roger K. Butlin. (2008). Sequence differentiation in regions identified by a genome scan for local adaptation. Molecular Ecology. 17(13). 3123–3135. 102 indexed citations
9.
Freeman, Jennifer L., Ruby Banerjee, Stephanie Dallaire, et al.. (2007). Definition of the zebrafish genome using flow cytometry and cytogenetic mapping. BMC Genomics. 8(1). 195–195. 38 indexed citations
10.
Hart, Elizabeth A., Mario Cáccamo, Jennifer Harrow, et al.. (2007). Lessons learned from the initial sequencing of the pig genome: comparative analysis of an 8 Mb region of pig chromosome 17. Genome biology. 8(8). R168–R168. 37 indexed citations
11.
Carbone, Lucia, Baoli Zhu, Kazutoyo Osoegawa, et al.. (2006). A High-Resolution Map of Synteny Disruptions in Gibbon and Human Genomes. PLoS Genetics. 2(12). e223–e223. 38 indexed citations
12.
Schook, Lawrence B., Jane Rogers, Sean Humphray, et al.. (2005). Swine Genome Sequencing Consortium (SGSC): a strategic roadmap for sequencing the pig genome. Comparative and Functional Genomics. 6(4). 251–255. 67 indexed citations
13.
Adams, David J., Michael A. Quail, Tony Cox, et al.. (2005). A genome-wide, end-sequenced 129Sv BAC library resource for targeting vector construction. Genomics. 86(6). 753–758. 84 indexed citations
14.
Yoder, Jeffrey A., Ronda T. Litman, M. Gail Mueller, et al.. (2004). Resolution of the novel immune-type receptor gene cluster in zebrafish. Proceedings of the National Academy of Sciences. 101(44). 15706–15711. 79 indexed citations
15.
Chung, Yeun‐Jun, Jos Jonkers, Heike Fiegler, et al.. (2004). A Whole-Genome Mouse BAC Microarray With 1-Mb Resolution for Analysis of DNA Copy Number Changes by Array Comparative Genomic Hybridization. Genome Research. 14(1). 188–196. 88 indexed citations
16.
Humphray, Sean, et al.. (2003). Contiguation of Bacterial Clones. Humana Press eBooks. 175. 69–108. 3 indexed citations
17.
Evans, Kathryn L., Stéphanie Le Hellard, Stewart W. Morris, et al.. (2001). A 6.9-Mb High-Resolution BAC/PAC Contig of Human 4p15.3–p16.1, a Candidate Region for Bipolar Affective Disorder. Genomics. 71(3). 315–323. 10 indexed citations
18.
Gamé, Laurence, James Close, Steve Best, et al.. (2000). An Integrated Map of Human 6q22.3–q24 Including a 3-Mb High-Resolution BAC/PAC Contig Encompassing a QTL for Fetal Hemoglobin. Genomics. 64(3). 264–276. 10 indexed citations
19.
Humphray, Sean, Angela Davies, Jethro Herberg, et al.. (1998). Physical Map of Human 6p21.2–6p21.3: Region Flanking the Centromeric End of the Major Histocompatibility Complex. Genome Research. 8(6). 631–643. 30 indexed citations
20.
Herberg, Jethro, John Sgouros, T. Alwyn Jones, et al.. (1998). Genomic analysis of theTapasin gene, located close to theTAP loci in the MHC. European Journal of Immunology. 28(2). 459–467. 65 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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