Richard Segraves

7.6k total citations · 3 hit papers
30 papers, 5.7k citations indexed

About

Richard Segraves is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Richard Segraves has authored 30 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 18 papers in Molecular Biology and 16 papers in Plant Science. Recurrent topics in Richard Segraves's work include Genomic variations and chromosomal abnormalities (20 papers), Chromosomal and Genetic Variations (16 papers) and Gene expression and cancer classification (7 papers). Richard Segraves is often cited by papers focused on Genomic variations and chromosomal abnormalities (20 papers), Chromosomal and Genetic Variations (16 papers) and Gene expression and cancer classification (7 papers). Richard Segraves collaborates with scholars based in United States, Denmark and United Kingdom. Richard Segraves's co-authors include Joe W. Gray, Colin C. Collins, Daniel Pinkel, Donna G. Albertson, James C. Fuscoe, D. Pinkel, Wen-Lin Kuo, Shanaz H. Dairkee, J. N. Lucas and David Kowbel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Blood.

In The Last Decade

Richard Segraves

28 papers receiving 5.6k citations

Hit Papers

High resolution analysis of DNA copy number variation usi... 1988 2026 2000 2013 1998 1988 2001 500 1000 1.5k

Peers

Richard Segraves
D. Pinkel United States
Dan Pinkel United States
Robert Lucito United States
Bryan D. Young United Kingdom
Bing Huey United States
Hesed Padilla‐Nash United States
Cynthia Helms United States
D. Pinkel United States
Richard Segraves
Citations per year, relative to Richard Segraves Richard Segraves (= 1×) peers D. Pinkel

Countries citing papers authored by Richard Segraves

Since Specialization
Citations

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

Fields of papers citing papers by Richard Segraves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Segraves

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Segraves. A scholar is included among the top collaborators of Richard Segraves 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 Richard Segraves. Richard Segraves 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.
Fridlyand, Jane, Antoine M. Snijders, Bauke Ylstra, et al.. (2006). Breast tumor copy number aberration phenotypes and genomic instability. BMC Cancer. 6(1). 96–96. 206 indexed citations
2.
Zhang, Xiaoxiao, Antoine M. Snijders, Richard Segraves, et al.. (2005). High-Resolution Mapping of Genotype-Phenotype Relationships in Cri du Chat Syndrome Using Array Comparative Genomic Hybridization. The American Journal of Human Genetics. 76(2). 312–326. 95 indexed citations
3.
DeVries, Sandy, Sarah J. Nyante, Richard Segraves, et al.. (2005). Array-Based Comparative Genomic Hybridization from Formalin-Fixed, Paraffin-Embedded Breast Tumors. Journal of Molecular Diagnostics. 7(1). 65–71. 50 indexed citations
4.
Locke, Devin P., Richard Segraves, Robert D. Nicholls, et al.. (2004). BAC microarray analysis of 15q11–q13 rearrangements and the impact of segmental duplications. Journal of Medical Genetics. 41(3). 175–182. 79 indexed citations
5.
Snijders, Antoine M., et al.. (2004). BAC Microarray-Based Comparative Genomic Hybridization. Humana Press eBooks. 256. 39–56. 27 indexed citations
6.
Leamon, John H., Tanja Pejović, Stefan Hamann, et al.. (2003). Whole Genome Analysis of Genetic Alterations in Small DNA Samples Using Hyperbranched Strand Displacement Amplification and Array–CGH. Genome Research. 13(2). 294–307. 212 indexed citations
7.
Locke, Devin P., Richard Segraves, Lucia Carbone, et al.. (2003). Large-Scale Variation Among Human and Great Ape Genomes Determined by Array Comparative Genomic Hybridization. Genome Research. 13(3). 347–357. 105 indexed citations
8.
Snijders, Antoine M., Jane Fridlyand, Dorus A. Mans, et al.. (2003). Shaping of tumor and drug-resistant genomes by instability and selection. Oncogene. 22(28). 4370–4379. 61 indexed citations
9.
Albertson, Donna G., Katherine A. Rauen, Philip D. Cotter, et al.. (2003). High-resolution array CGH A validation study for the detection of submicroscopic deletions in DiGeorge and velo-cardio-facial syndromes. The American Journal of Human Genetics. 73(5). 208. 1 indexed citations
10.
Jain, Ajay N., Taku A. Tokuyasu, Antoine M. Snijders, et al.. (2002). Fully Automatic Quantification of Microarray Image Data. Genome Research. 12(2). 325–332. 269 indexed citations
11.
Albertson, Donna G., Bauke Ylstra, Richard Segraves, et al.. (2000). Quantitative mapping of amplicon structure by array CGH identifies CYP24 as a candidate oncogene. Nature Genetics. 25(2). 144–146. 463 indexed citations
12.
Segraves, Richard, Damir Sudar, Steven M. Clark, et al.. (1998). High resolution analysis of DNA copy number variation using comparative genomic hybridization to microarrays. Nature Genetics. 20(2). 207–211. 1617 indexed citations breakdown →
13.
Pinkel, Daniel, Richard Segraves, Damir Sudar, et al.. (1997). Comparative Genomic Hybridization to Dna Microarrays. Microscopy and Microanalysis. 3(S2). 205–206.
14.
Robbins, Wendie A., Richard Segraves, Daniel Pinkel, & Andrew J. Wyrobek. (1993). Detection of aneuploid human sperm by fluorescence in situ hybridization: evidence for a donor difference in frequency of sperm disomic for chromosomes 1 and Y.. Europe PMC (PubMed Central). 52(4). 799–807. 132 indexed citations
15.
Collins, Colin C., et al.. (1991). Construction and characterization of plasmid libraries enriched in sequences from single human chromosomes. Genomics. 11(4). 997–1006. 187 indexed citations
16.
Brandriff, Brigitte, Laurie Gordon, Richard Segraves, & D. Pinkel. (1991). The male-derived genome after sperm-egg fusion: Spatial distribution of chromosomal DNA and paternal-maternal genomic association. Chromosoma. 100(4). 262–266. 30 indexed citations
18.
Kuo, Wen-Lin, et al.. (1991). Detection of aneuploidy involving chromosomes 13, 18, or 21, by fluorescence in situ hybridization (FISH) to interphase and metaphase amniocytes.. PubMed. 49(1). 112–9. 100 indexed citations
19.
Weier, Heinz-Ulrich, Richard Segraves, D. Pinkel, & J. W. Gray. (1990). Synthesis of Y chromosome-specific labeled DNA probes by in vitro DNA amplification.. Journal of Histochemistry & Cytochemistry. 38(3). 421–426. 39 indexed citations
20.
Pinkel, D., J. E. Landegent, Colin C. Collins, et al.. (1988). Fluorescence in situ hybridization with human chromosome-specific libraries: detection of trisomy 21 and translocations of chromosome 4.. Proceedings of the National Academy of Sciences. 85(23). 9138–9142. 1089 indexed citations breakdown →

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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