Matthew E. Ritchie

57.1k citations

117 papers · 31.1k indexed · 5 hit papers · h-index 41

Cancer Research top 0.05%
- Cancer-related molecular mechanisms research 11
Molecular Biology top 0.1%
- Gene expression and cancer classification 31
- Single-cell and spatial transcriptomics 19
- Molecular Biology Techniques and Applications 15
- RNA modifications and cancer 14
- Epigenetics and DNA Methylation 12
- Genomics and Chromatin Dynamics 9
- Bioinformatics and Genomic Networks 9
Immunology top 0.2%
Pulmonary and Respiratory Medicine top 0.2%
Oncology top 0.5%

Co-authors: Gordon K. Smyth Charity W. Law Wei Shi Yifang Hu Belinda PhipsonDi WuShian Su Xueyi Dong
Cited by: Cancer Research Molecular Biology Immunology
Journals: Bioinformatics (10 papers)Nucleic Acids Research (7 papers)BMC Bioinformatics (6 papers)
Partner nations: Australia United Kingdom United States

In The Last Decade

Matthew E. Ritchie

115 papers receiving 30.9k citations

Hit Papers

5 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.

2024 Nature Methods
2020 Genome biology
2015 Nucleic Acids Research
2014 Cell
2007 Bioinformatics

Peers

Countries citing papers authored by Matthew E. Ritchie

Since Specialization

Citations

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

Fields of papers citing papers by Matthew E. Ritchie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Matthew E. Ritchie, 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 E. Ritchie Line = papers co-authored together Matthew E. Ritchie links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Single-cell Rapid Capture Hybridization sequencing reliably detects isoform usage and coding mutations in targeted genes Genome Research ·Hongke Peng,Jafar S. Jabbari,Luyi Tian,C. Gandarias-Zúñiga,Zhaozhuo Qu,Chong Chyn Chua,Natasha S. Anstee,Lomakina A.A. Lomakina,Andrew H. Wei,N. Davidson,Andrew W. Roberts,David C.S. Huang,Matthew E. Ritchie,Rachel Thijssen	2025	1
2	Flexiplex: a versatile demultiplexer and search tool for omics data Bioinformatics ·Adriana Secundo Gonçalves de Oliveira,Nan Liu,C. Gandarias-Zúñiga,Abigail Lee Six,Matthew E. Ritchie,Jonathan Göke,Lomakina A.A. Lomakina,N. Davidson	2024	5
3	An optimized protocol for quality control of gene therapy vectors using nanopore direct RNA sequencing Genome Research ·D. Jayasree,Christian Montellese,Matthew E. Ritchie,Monther Alhamdoosh,Cédric Vonarburg,Rory Bowden,則昌林,Quentin Gouil,Florian Aeschimann,Arthur Hsu	2024	2
4	Measuring X-Chromosome inactivation skew for X-linked diseases with adaptive nanopore sequencing Genome Research ·錬一郎佐藤,Н. В. Милехина,Shian Su,Jasleen K. Jolly,Thomas L. Edwards,Doron G. Hickey,Matthew E. Ritchie,Marnie E. Blewitt,Lauren N. Ayton,Quentin Gouil	2024	3
5	Systematic comparison of sequencing-based spatial transcriptomic methodsbreakdown → Nature Methods ·Yue You,吉雄升田,А. С. Коткин,Zhongmin Zhang,Anaïs Bonanno,Shihong Lu,Thị Thùy Linh Võ,Yifang Liu,A Y Suslova,Xiaojing Liu,Fuqing Jiang,Guangdun Peng,Abhishek Sampath Kumar,Matthew E. Ritchie,Xiaodong Liu,Luyi Tian	2024	63
6	Establishment of single-cell transcriptional states during seed germination Nature Plants ·Lim Chee Liew,Yue You,Bahodir Djurayevich ESHMIRZAYEV,Marina Oliva,Marta Peirats‐Llobet,Sophia Ng,Hamid Hatefnia,Oliver Berkowitz,Satheesh Kumar Marimuthu,Nazula Mufarrihah Farida Umamah,Tim Stuart,Matthew E. Ritchie,George W. Bassel,Ryan Lister,James Whelan,Quentin Gouil,Mathew G. Lewsey	2024	20
7	Modeling group heteroscedasticity in single-cell RNA-seq pseudo-bulk data Genome biology ·Yue You,Xueyi Dong,马万卓 MA Wan-zhuo,Mhairi J. Maxwell,Monther Alhamdoosh,Gordon K. Smyth,Peter F. Hickey,Matthew E. Ritchie,Charity W. Law	2023	6
8	Dividing out quantification uncertainty allows efficient assessment of differential transcript expression with edgeR Nucleic Acids Research ·Pedro L. Baldoni,Yunshun Chen,Soroor Hediyeh-zadeh,Yang Liao,Xueyi Dong,Matthew E. Ritchie,Wei Shi,Gordon K. Smyth	2023	10
9	A method for stabilising the XX karyotype in female mESC cultures Development ·Andrew Keniry,Natasha Jansz,Peter F. Hickey,Kelsey Breslin,Megan Iminitoff,Tamara Beck,Quentin Gouil,Matthew E. Ritchie,Marnie E. Blewitt	2022	1
10	NAb-seq: an accurate, rapid, and cost-effective method for antibody long-read sequencing in hybridoma cell lines and single B cells mAbs ·Cathrin Loeb,D. Jayasree,Rachel T. Uren,Stephen L. Nutt,Matthew E. Ritchie,Quentin Gouil,Ruth M. Kluck	2022	13
11	Dashboard-style interactive plots for RNA-seq analysis are R Markdown ready with Glimma 2.0 NAR Genomics and Bioinformatics ·Khaled S. Albelall,Shian Su,Romana Gelli,Matthew E. Ritchie,Charity W. Law	2021	5
12	The long and the short of it: unlocking nanopore long-read RNA sequencing data with short-read differential expression analysis tools NAR Genomics and Bioinformatics ·Xueyi Dong,Luyi Tian,Quentin Gouil,Khaled S. Albelall,Shian Su,Ricardo De Paoli‐Iseppi,Yair D. J. Prawer,Michael B. Clark,Kelsey Breslin,Megan Iminitoff,Marnie E. Blewitt,Charity W. Law,Matthew E. Ritchie	2021	25
13	Smchd1 regulates long-range chromatin interactions on the inactive X chromosome and at Hox clusters Nature Structural & Molecular Biology ·Natasha Jansz,Andrew Keniry,Marie Trussart,Heidi Bildsoe,Tamara Beck,Ian D. Tonks,Arne W. Mould,Peter F. Hickey,Kelsey Breslin,Megan Iminitoff,Matthew E. Ritchie,Edwina McGlinn,Graham F. Kay,James M. Murphy,Marnie E. Blewitt	2018	70
14	Glimma: interactive graphics for gene expression analysis Bioinformatics ·Shian Su,Charity W. Law,Casey Ah-Cann,Marie-Liesse Asselin-Labat,Marnie E. Blewitt,Matthew E. Ritchie	2017	105
15	Cisplatin Increases Sensitivity to FGFR Inhibition in Patient-Derived Xenograft Models of Lung Squamous Cell Carcinoma Molecular Cancer Therapeutics ·Clare E. Weeden,Aliaksei Z. Holik,Richard J. Young,Stephen Ma,Martin Nakash,Stephen B. Fox,Phillip Antippa,Louis Irving,Daniel Steinfort,Gavin Wright,Prudence A. Russell,Matthew E. Ritchie,Christopher J. Burns,Benjamin Solomon,Marie-Liesse Asselin-Labat	2017	19
16	Combining multiple tools outperforms individual methods in gene set enrichment analyses Bioinformatics ·Monther Alhamdoosh,Milica Ng,Nicholas J. Wilson,Julie M. Sheridan,Huy Huynh,Michael J. Wilson,Matthew E. Ritchie	2016	120
17	RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR [version 1; referees: 3 approved] SHILAP Revista de lepidopterología ·Charity W. Law,Monther Alhamdoosh,Shian Su,Gordon K. Smyth,Matthew E. Ritchie	2016	8
18	Sensitization of BCL-2–expressing breast tumors to chemotherapy by the BH3 mimetic ABT-737 Proceedings of the National Academy of Sciences ·Samantha R. Oakes,François Vaillant,Elgene Lim,Lily Lee,Kelsey Breslin,Frank Feleppa,Siddhartha Deb,Matthew E. Ritchie,Elena A. Takano,Teresa Ward,Stephen B. Fox,Daniele Generali,Gordon K. Smyth,Andreas Strasser,David C.S. Huang,Jane E. Visvader,Geoffrey J. Lindeman	2011	150
19	USING THE R PACKAGE crlmm FOR GENOTYPING AND COPY NUMBER ESTIMATION SHILAP Revista de lepidopterología ·Robert B. Scharpf,Rafael A. Irizarry,Matthew E. Ritchie,Benilton S. Carvalho,Ingo Ruczinski	2010	3
20	Gene expression profiling reveals distinct sets of genes altered during hormonally and metabolically induced cardiac hypertrophies Journal of Molecular and Cellular Cardiology ·Camila Carolina Moreira,Matthew E. Ritchie,Gordon K. Smyth,Thierry Pedrazzini,Joseph Proietto,Sarah Cohen-Boulakia	2004	5

About Matthew E. Ritchie

Matthew E. Ritchie is a scholar working on Cancer Research, Molecular Biology and Biophysics, having authored 117 papers that have together received 31.1k indexed citations. Recurring topics across this work include Gene expression and cancer classification (31 papers), Single-cell and spatial transcriptomics (19 papers), Molecular Biology Techniques and Applications (15 papers), RNA modifications and cancer (14 papers), Epigenetics and DNA Methylation (12 papers), Cancer-related molecular mechanisms research (11 papers), Genomics and Chromatin Dynamics (9 papers) and Bioinformatics and Genomic Networks (9 papers). The work is most often cited by research in Cancer Research (6.8k citations), Molecular Biology (18.8k citations) and Immunology (5.4k citations). Matthew E. Ritchie has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Gordon K. Smyth, Charity W. Law, Wei Shi, Yifang Hu, Belinda Phipson, Di Wu, Shian Su, Xueyi Dong, Quentin Gouil and Shanika L. Amarasinghe. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, BMC Bioinformatics, NAR Genomics and Bioinformatics and Genome biology.

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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