Matt W. Wright

15.6k total citations · 3 hit papers
31 papers, 4.4k citations indexed

About

Matt W. Wright is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Matt W. Wright has authored 31 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 16 papers in Molecular Biology and 5 papers in Cancer Research. Recurrent topics in Matt W. Wright's work include Genomics and Rare Diseases (11 papers), Genomics and Phylogenetic Studies (11 papers) and Biomedical Text Mining and Ontologies (8 papers). Matt W. Wright is often cited by papers focused on Genomics and Rare Diseases (11 papers), Genomics and Phylogenetic Studies (11 papers) and Biomedical Text Mining and Ontologies (8 papers). Matt W. Wright collaborates with scholars based in United Kingdom, United States and Japan. Matt W. Wright's co-authors include Elspeth A. Bruford, Michael Lush, Ruth C. Lovering, Hester Wain, Ruth L. Seal, Kristian Gray, Sue Povey, Bethan Yates, Lois J. Maltais and Susan M. Gordon and has published in prestigious journals such as Nucleic Acids Research, The Journal of Cell Biology and Nature Reviews Genetics.

In The Last Decade

Matt W. Wright

29 papers receiving 4.4k citations

Hit Papers

Gene map of the extended humanMHC 2004 2026 2011 2018 2004 2006 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matt W. Wright United Kingdom 24 2.3k 992 727 568 523 31 4.4k
Mikhail G. Dozmorov United States 36 2.2k 0.9× 494 0.5× 722 1.0× 708 1.2× 178 0.3× 153 4.0k
Malte Spielmann Germany 27 3.9k 1.7× 1.2k 1.2× 800 1.1× 678 1.2× 200 0.4× 90 5.7k
Sean Bong Lee United States 36 2.8k 1.2× 475 0.5× 540 0.7× 449 0.8× 424 0.8× 83 4.1k
Guglielmo Roma Switzerland 31 2.3k 1.0× 410 0.4× 479 0.7× 388 0.7× 541 1.0× 60 4.2k
Christopher I. Amos United States 42 2.2k 0.9× 1.8k 1.8× 1.0k 1.4× 682 1.2× 371 0.7× 101 6.1k
Robin D. Dowell United States 30 3.2k 1.4× 565 0.6× 198 0.3× 447 0.8× 317 0.6× 101 4.1k
Zhijin Wu United States 29 4.3k 1.9× 1.0k 1.0× 440 0.6× 776 1.4× 102 0.2× 85 6.3k
Zena Werb United States 24 1.9k 0.8× 472 0.5× 460 0.6× 380 0.7× 973 1.9× 34 3.6k
Kate Hardy United Kingdom 50 4.0k 1.7× 1.6k 1.6× 740 1.0× 243 0.4× 214 0.4× 124 9.5k
Cara J. Gottardi United States 43 4.4k 1.9× 509 0.5× 513 0.7× 413 0.7× 1.4k 2.6× 85 6.5k

Countries citing papers authored by Matt W. Wright

Since Specialization
Citations

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

Fields of papers citing papers by Matt W. Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matt W. Wright. 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 Matt W. Wright. The network helps show where Matt W. Wright may publish in the future.

Co-authorship network of co-authors of Matt W. Wright

This figure shows the co-authorship network connecting the top 25 collaborators of Matt W. Wright. A scholar is included among the top collaborators of Matt W. Wright 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 Matt W. Wright. Matt W. Wright 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.
Popejoy, Alice B., Deborah Ritter, Danielle R. Azzariti, et al.. (2025). Design and implementation of an action plan for justice, equity, diversity, and inclusion within the Clinical Genome Resource. The American Journal of Human Genetics. 112(2). 215–223.
2.
Dalton, Karen, Heidi L. Rehm, Matt W. Wright, et al.. (2022). Accessing clinical-grade genomic classification data through the ClinGen Data Platform. PubMed. 28. 531–535.
3.
Sarmady, Mahdi, et al.. (2021). Evaluating the impact of in silico predictors on clinical variant classification. Genetics in Medicine. 24(4). 924–930. 23 indexed citations
4.
Popejoy, Alice B., Kristy Crooks, Stephanie M. Fullerton, et al.. (2020). Clinical Genetics Lacks Standard Definitions and Protocols for the Collection and Use of Diversity Measures. The American Journal of Human Genetics. 107(1). 72–82. 50 indexed citations
5.
Gray, Kristian, Ruth L. Seal, Susan Tweedie, Matt W. Wright, & Elspeth A. Bruford. (2016). A review of the new HGNC gene family resource. Human Genomics. 10(1). 6–6. 60 indexed citations
6.
McGarvey, Kelly M., Tamara Goldfarb, Eric Cox, et al.. (2015). Mouse genome annotation by the RefSeq project. Mammalian Genome. 26(9-10). 379–390. 12 indexed citations
7.
Gray, Kristian, Bethan Yates, Ruth L. Seal, Matt W. Wright, & Elspeth A. Bruford. (2014). Genenames.org: the HGNC resources in 2015. Nucleic Acids Research. 43(D1). D1079–D1085. 369 indexed citations
8.
Gray, Kristian, Louise C. Daugherty, Susan M. Gordon, et al.. (2012). Genenames.org: the HGNC resources in 2013. Nucleic Acids Research. 41(D1). D545–D552. 189 indexed citations
9.
Gong, Hua, Huitong Zhou, Stefan Clerens, et al.. (2012). An Updated Nomenclature for Keratin-Associated Proteins (KAPs). International Journal of Biological Sciences. 8(2). 258–264. 59 indexed citations
10.
Daugherty, Louise C., Ruth L. Seal, Matt W. Wright, & Elspeth A. Bruford. (2012). Gene family matters: expanding the HGNC resource. Human Genomics. 6(1). 4–4. 8 indexed citations
11.
Wright, Matt W. & Elspeth A. Bruford. (2011). Naming 'junk': Human non-protein coding RNA (ncRNA) gene nomenclature. Human Genomics. 5(2). 90–90. 138 indexed citations
12.
Holmes, Roger S., Matt W. Wright, Stanley J. F. Laulederkind, et al.. (2010). Recommended nomenclature for five mammalian carboxylesterase gene families: human, mouse, and rat genes and proteins. Mammalian Genome. 21(9-10). 427–441. 151 indexed citations
13.
Manjunath, P., et al.. (2008). New Nomenclature for Mammalian BSP Genes1. Biology of Reproduction. 80(3). 394–397. 81 indexed citations
14.
Bruford, Elspeth A., Michael Lush, Matt W. Wright, et al.. (2007). The HGNC Database in 2008: a resource for the human genome. Nucleic Acids Research. 36(Database). D445–D448. 162 indexed citations
15.
Eyre, T. A., Matt W. Wright, Michael Lush, & Elspeth A. Bruford. (2006). HCOP: a searchable database of human orthology predictions. Briefings in Bioinformatics. 8(1). 2–5. 57 indexed citations
16.
Hunt, Mary C., Junji Yamada, Lois J. Maltais, et al.. (2005). A revised nomenclature for mammalian acyl-CoA thioesterases/hydrolases. Journal of Lipid Research. 46(9). 2029–2032. 69 indexed citations
17.
Wright, Matt W., T. A. Eyre, Michael Lush, Sue Povey, & Elspeth A. Bruford. (2005). HCOP: The HGNC comparison of orthology predictions search tool. Mammalian Genome. 16(11). 827–828. 31 indexed citations
18.
Horton, Roger W., Laurens Wilming, Vikki Rand, et al.. (2004). Gene map of the extended humanMHC. Nature Reviews Genetics. 5(12). 889–899. 820 indexed citations breakdown →
19.
Wain, Hester, Elspeth A. Bruford, Ruth C. Lovering, et al.. (2002). Guidelines for Human Gene Nomenclature. Genomics. 79(4). 464–470. 310 indexed citations
20.
Wright, Matt W. & James K. Bowmaker. (2001). Retinal photoreceptors of paleognathous birds: the ostrich (Struthio camelus) and rhea (Rhea americana). Vision Research. 41(1). 1–12. 43 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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