Matthew Mort

17.7k citations

79 papers · 9.1k indexed · 8 hit papers · h-index 33

Genetics top 0.2%
- Genomics and Rare Diseases 37
- Genetic Associations and Epidemiology 11
- Genomic variations and chromosomal abnormalities 11
Molecular Biology top 0.5%
- RNA and protein synthesis mechanisms 24
- RNA modifications and cancer 22
- Genomics and Phylogenetic Studies 16
- RNA Research and Splicing 15
- Bioinformatics and Genomic Networks 10
Cancer Research top 2%
Clinical Biochemistry top 1%
Genetics top 2%
- Genomics and Rare Diseases 37
- Genetic Associations and Epidemiology 11
- Genomic variations and chromosomal abnormalities 11

Co-authors: D.N. Cooper Edward V. Ball Peter D. Stenson Andrew D. Phillips Nick Thomas Michael Krawczak Katy Shaw Sean D. Mooney
Cited by: Genetics Molecular Biology Cancer Research
Journals: Human Mutation (15 papers)Bioinformatics (7 papers)Nature Communications (5 papers)
Partner nations: United Kingdom United States China

In The Last Decade

Matthew Mort

76 papers receiving 9.0k citations

Hit Papers

8 papers align trajectories log scale

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

2020 Human Genetics
2020 Nature Communications
2017 Human Genetics
2015 Bioinformatics
2013 Human Genetics
2009 Genome Medicine
2009 Bioinformatics
2003 Human Mutation

Peers

Countries citing papers authored by Matthew Mort

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Mort

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Matthew Mort, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew Mort Line = papers co-authored together Matthew Mort links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Expanding the utility of variant effect predictions with phenotype-specific models Nature Communications ·David Stein,Gloria Evdoxia Izountouemoi,N L Zhulimova,Matthew Mort,Peter D. Stenson,Jean‐Laurent Casanova,D.N. Cooper,Bertrand Boisson,Peng Zhang,Avner Schlessinger,Yuval Itan	2025	0
2	Development of a genetic priority score to predict drug side effects using human genetic evidence Nature Communications ·Áine Duffy,Qiming Zhang,David Stein,Joshua K. Park,Matthew Mort,Marie Verbanck,Avner Schlessinger,Yuval Itan,D.N. Cooper,Daniel M. Jordan,Ghislain Rocheleau,Ron Do	2025	0
3	Development of a human genetics-guided priority score for 19,365 genes and 399 drug indications Nature Genetics ·Áine Duffy,Ben Omega Petrazzini,David Stein,Joshua K. Park,Iain S. Forrest,賢太粟津,Ha My T. Vy,Qiming Zhang,Carla Márquez‐Luna,Matthew Mort,Marie Verbanck,Avner Schlessinger,Yuval Itan,D.N. Cooper,Ghislain Rocheleau,Daniel M. Jordan,Ron Do	2024	11
4	Accurate identification of genes associated with brain disorders by integrating heterogeneous genomic data into a Bayesian framework EBioMedicine ·和幸前之園,Ling Li,Laura E. Sokil,Shu-Xiang,Shaoying Li,J. Kühnau,Cong Fan,Ryan Roark,Meng Meng,Lauw Li Hin,Matthew Mort,Peter D. Stenson,D.N. Cooper,Huiying Zhao	2024	2
5	Profiling human pathogenic repeat expansion regions by synergistic and multi-level impacts on molecular connections Human Genetics ·Cong Fan,Ken Chen,Yukai Wang,Edward V. Ball,Peter D. Stenson,Matthew Mort,Albino Bacolla,Hildegard Kehrer‐Sawatzki,John A. Tainer,D.N. Cooper,Huiying Zhao	2022	0
6	Inferring the molecular and phenotypic impact of amino acid variants with MutPred2breakdown → Nature Communications ·Vikas Pejaver,Jorge Urresti,Jose Lugo-Martinez,Kymberleigh A. Pagel,Guan Ning Lin,Hyun‐Jun Nam,Matthew Mort,D.N. Cooper,Jonathan Sebat,Lilia M. Iakoucheva,Sean D. Mooney,Predrag Radivojac	2020	426
7	Extensive disruption of protein interactions by genetic variants across the allele frequency spectrum in human populations Nature Communications ·Robert Fragoza,Jishnu Das,Shayne D. Wierbowski,Jin Liang,Y. T. Li,Siqi Liang,Juan Felipe Beltrán,María R. Tovar-Sanz,Kaixiong Ye,Ting‐Yi Wang,Yao Li,Matthew Mort,Peter D. Stenson,D.N. Cooper,Xiaomu Wei,Alon Keinan,John C. Schimenti,Andrew G. Clark,Haiyuan Yu	2019	45
8	RegSNPs-intron: a computational framework for predicting pathogenic impact of intronic single nucleotide variants Genome biology ·Hai Lin,E. Ardizzone,直彦山田,Jill L. Reiter,Yue Wang,Matthew Mort,D.N. Cooper,Yaoqi Zhou,Chi Zhang,Michael T. Eadon,M. Eileen Dolan,Joseph Ipe,Todd C. Skaar,Yunlong Liu	2019	41
9	The sequencing and interpretation of the genome obtained from a Serbian individual ORCA Online Research @Cardiff (Cardiff University) ·Wazim Mohammed Ismail,Kymberleigh A. Pagel,Vikas Pejaver,Roy Bergen Guild,ANA CAROLINE DE MELO GELLA,Matthew Mort,D.N. Cooper,Matthew W. Hahn,Predrag Radivojac	2018	3
10	Burden and Profile of Somatic Mutation in Duodenal Adenomas from Patients with Familial Adenomatous- and MUTYH -associated Polyposis Clinical Cancer Research ·Laura E. Thomas,Nanda Nur Aulia,Camilla Della Giustina,Linh Le,Kevin E. Ashelford,Matthew Mort,Shelley Idziaszczyk,Julie Maynard,R. B. Shenoi,Edmundo Paz Soldán,Berens Benjamin,Meera Raja,Sarah‐Jane Walton,Sunil Dolwani,Geraint T. Williams,Meleri Morgan,Morgan Moorghen,Susan K. Clark,Julian R. Sampson	2017	19
11	Biological and functional relevance of CASP predictions Proteins Structure Function and Bioinformatics ·Tianyun Liu,淳美新田,Wen Torng,Aleix Lafita,Christian Bock,Matthew Mort,D.N. Cooper,Spencer Bliven,Guido Capitani,Sean D. Mooney,Russ B. Altman	2017	8
12	Quantitative mapping of genetic similarity in human heritable diseases by shared mutations Human Mutation ·Huiying Zhao,Yuedong Yang,Yutong Lu,Matthew Mort,D.N. Cooper,Zhiyi Zuo,Yaoqi Zhou	2017	4
13	ExonImpact: Prioritizing Pathogenic Alternative Splicing Events Queensland's institutional digital repository (The University of Queensland) ·Meng Li,Weixing Feng,Xinjun Zhang,Yuedong Yang,Kejun Wang,Matthew Mort,D.N. Cooper,Yue Wang,Yaoqi Zhou,Yunlong Liu	2017	2
14	Identification of two novel SMCHD1 sequence variants in families with FSHD-like muscular dystrophy European Journal of Human Genetics ·Rongye Huang,博子手塚,Matthew Mort,Ian M. Frayling,Mark T. Rogers,Meena Upadhyaya	2014	17
15	A Massively Parallel Pipeline to Clone DNA Variants and Examine Molecular Phenotypes of Human Disease Mutations PLoS Genetics ·Xiaomu Wei,Jishnu Das,Robert Fragoza,Jin Liang,Francisco Meirelles Bastos de Oliveira,이광주,Xiujuan Wang,Matthew Mort,Peter D. Stenson,D.N. Cooper,Steven M. Lipkin,Marcus B. Smolka,Haiyuan Yu	2014	37
16	Deleterious- and Disease-Allele Prevalence in Healthy Individuals: Insights from Current Predictions, Mutation Databases, and Population-Scale Resequencing The American Journal of Human Genetics ·Yali Xue,Yuan Chen,Qasim Ayub,Ni Huang,Edward V. Ball,Matthew Mort,Andrew D. Phillips,Katy Shaw,Peter D. Stenson,D.N. Cooper,Chris Tyler‐Smith	2012	188
17	Exploring the somatic NF1 mutational spectrum associated with NF1 cutaneous neurofibromas European Journal of Human Genetics ·Laura E. Thomas,Gill Spurlock,Mohammad Gamri,Rosa Bianco Anna,Matthew Mort,Stephen E. Hamby,Nadia Chuzhanova,Hilde Brems,Eric Legius,D.N. Cooper,Meena Upadhyaya	2011	22
18	Do Inherited Disease Genes Have Distinguishing Functional Characteristics? Genetic Testing and Molecular Biomarkers ·D.N. Cooper,Matthew Mort	2010	3
19	Genes, mutations, and human inherited disease at the dawn of the age of personalized genomics Human Mutation ·D.N. Cooper,Jian‐Min Chen,Edward V. Ball,Arun Nagpal,Matthew Mort,Andrew D. Phillips,Nadia Chuzhanova,Michael Krawczak,Hildegard Kehrer‐Sawatzki,徐铮	2010	119
20	Automated inference of molecular mechanisms of disease from amino acid substitutionsbreakdown → Bioinformatics ·Biao Li,Vidhya G. Krishnan,Matthew Mort,Fuxiao Xin,Usa He,D.N. Cooper,Sean D. Mooney,Predrag Radivojac	2009	623

About Matthew Mort

Matthew Mort is a scholar working on Genetics, Molecular Biology and Cancer Research, having authored 79 papers that have together received 9.1k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (37 papers), RNA and protein synthesis mechanisms (24 papers), RNA modifications and cancer (22 papers), Genomics and Phylogenetic Studies (16 papers), RNA Research and Splicing (15 papers), Genetic Associations and Epidemiology (11 papers), Genomic variations and chromosomal abnormalities (11 papers) and Bioinformatics and Genomic Networks (10 papers). The work is most often cited by research in Genetics (3.5k citations), Molecular Biology (6.1k citations) and Cancer Research (964 citations). Matthew Mort has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include D.N. Cooper, Edward V. Ball, Peter D. Stenson, Andrew D. Phillips, Nick Thomas, Michael Krawczak, Katy Shaw, Sean D. Mooney, Predrag Radivojac and Shaun S. Abeysinghe. Their work appears in journals such as Human Mutation, Bioinformatics, Nature Communications, Human Genomics and Human Genetics.

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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