Mark Dunning

19.1k total citations · 5 hit papers
46 papers, 7.8k citations indexed

About

Mark Dunning is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mark Dunning has authored 46 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 9 papers in Cancer Research and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mark Dunning's work include Gene expression and cancer classification (13 papers), Single-cell and spatial transcriptomics (6 papers) and Cancer Genomics and Diagnostics (6 papers). Mark Dunning is often cited by papers focused on Gene expression and cancer classification (13 papers), Single-cell and spatial transcriptomics (6 papers) and Cancer Genomics and Diagnostics (6 papers). Mark Dunning collaborates with scholars based in United Kingdom, United States and Australia. Mark Dunning's co-authors include Simon Tavaré, Carlos Caldas, Suet‐Feung Chin, Matthew E. Ritchie, Andrew E. Teschendorff, Andrew R. Green, Ian O. Ellis, Natalie Thorne, Barbara E. Stranger and Emmanouil T. Dermitzakis and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Mark Dunning

43 papers receiving 7.6k citations

Hit Papers

5 papers align trajectories

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.

Analysis of Circulating Tumor DNA to Monitor Metastatic Breast Cancer

2013 1.6k citations Suet‐Feung Chin, Mark Dunning et al. profile →
Differential oestrogen receptor binding is associated with clinical outcome in breast cancer

2012 1.3k citations Caryn S. Ross-Innes, Rory Stark et al. Nature profile →
Relative Impact of Nucleotide and Copy Number Variation on Gene Expression Phenotypes

2007 1.3k citations Barbara E. Stranger, Matthew S. Forrest et al. profile →
Population genomics of human gene expression

2007 789 citations Barbara E. Stranger, Alexandra C. Nica et al. Nature Genetics profile →
MicroRNA expression profiling of human breast cancer identifies new markers of tumor subtype

2007 750 citations Cherie Blenkiron, Leonard D. Goldstein et al. Genome biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Dunning United Kingdom	23	4.6k	3.1k	1.9k	1.4k	1.1k	46	7.8k
Núria López-Bigas Spain	52	7.4k 1.6×	3.6k 1.2×	1.8k 0.9×	1.6k 1.1×	1.1k 1.0×	125	10.5k
J Costello United States	48	7.8k 1.7×	2.8k 0.9×	1.4k 0.7×	1.5k 1.1×	773 0.7×	142	10.6k
Linda Rodgers United States	32	8.4k 1.8×	2.8k 0.9×	1.7k 0.9×	2.1k 1.5×	933 0.8×	61	11.4k
Leslie Cope United States	41	6.7k 1.4×	2.4k 0.8×	1.1k 0.6×	1.9k 1.4×	1.2k 1.1×	132	10.3k
Ramana V. Davuluri United States	52	7.0k 1.5×	3.2k 1.0×	945 0.5×	1.2k 0.9×	521 0.5×	120	9.6k
Iñigo Martincorena United Kingdom	26	3.5k 0.7×	2.6k 0.9×	1.1k 0.6×	1.2k 0.9×	586 0.5×	45	6.3k
Jian‐Bing Fan United States	46	6.0k 1.3×	1.9k 0.6×	1.6k 0.9×	708 0.5×	738 0.7×	133	8.7k
Rogier Versteeg Netherlands	55	7.4k 1.6×	2.5k 0.8×	1.5k 0.8×	2.4k 1.8×	632 0.6×	174	10.8k
Stefan Wiemann Germany	51	5.8k 1.2×	2.1k 0.7×	753 0.4×	1.2k 0.9×	810 0.7×	186	8.8k
Zhaohui Qin United States	44	8.0k 1.7×	1.9k 0.6×	1.6k 0.8×	895 0.7×	1.1k 1.0×	179	10.5k

Countries citing papers authored by Mark Dunning

Since Specialization

Citations

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

Fields of papers citing papers by Mark Dunning

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Dunning

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Dunning. A scholar is included among the top collaborators of Mark Dunning 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 Mark Dunning. Mark Dunning is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Maitre, Christine L. Le, Mark Dunning, & John E. Wilkinson. (2025). OPTIMISATION OF SPATIAL TRANSCRIPTOMICS FOR ADULT HUMAN FFPE OSTEOCHONDRAL AND INTERVERTEBRAL DISC TISSUE. Osteoarthritis and Cartilage. 33. S410–S410.

Simpson, Julie E., Charlotte Dawson, Delphine Boche, et al.. (2025). Human amyotrophic lateral sclerosis/motor neuron disease: The disease‐associated microglial pathway is upregulated while APOE genotype governs risk and survival. Brain Pathology. 35(6). e70019–e70019. 1 indexed citations

Korteland, Suze-Anne, Michael Simons, Mark Dunning, et al.. (2024). Shear stress is uncoupled from atheroprotective KLK10 in atherosclerotic plaques. Atherosclerosis. 398. 118622–118622. 1 indexed citations

Payne, Thomas, Matthew Appleby, Ellen Buckley, et al.. (2023). A Double‐Blind, Randomized, Placebo‐Controlled Trial of Ursodeoxycholic Acid (UDCA) in Parkinson's Disease. Movement Disorders. 38(8). 1493–1502. 29 indexed citations

Payne, Thomas, Matilde Sassani, Mark Dunning, et al.. (2023). Multimodal assessment of mitochondrial function in Parkinson's disease. Brain. 147(1). 267–280. 10 indexed citations

Serrano‐Solano, Beatriz, Melanie Christine Föll, Cristóbal Gallardo Alba, et al.. (2021). Fostering accessible online education using Galaxy as an e-learning platform. PLoS Computational Biology. 17(5). e1008923–e1008923. 8 indexed citations

Dunning, Mark, Sarah L. Vowler, Emilie Lalonde, et al.. (2017). Mining Human Prostate Cancer Datasets: The “camcAPP” Shiny App. EBioMedicine. 17. 5–6. 21 indexed citations

Whitington, Thomas, Ping Gao, Wei Song, et al.. (2016). Gene regulatory mechanisms underpinning prostate cancer susceptibility. Nature Genetics. 48(4). 387–397. 81 indexed citations

Ross-Innes, Caryn S., Rory Stark, Andrew E. Teschendorff, et al.. (2012). Differential oestrogen receptor binding is associated with clinical outcome in breast cancer. Nature. 481(7381). 389–393. 1304 indexed citations breakdown →

10.

Ritchie, Matthew E., Mark Dunning, Mike L. Smith, Wei Shi, & Andy G. Lynch. (2011). BeadArray Expression Analysis Using Bioconductor. PLoS Computational Biology. 7(12). e1002276–e1002276. 40 indexed citations

11.

Lynch, Andy G., James Hadfield, Mark Dunning, et al.. (2010). The cost of reducing starting RNA quantity for Illumina BeadArrays: A bead-level dilution experiment. BMC Genomics. 11(1). 540–540. 4 indexed citations

12.

Smith, Mike L., Mark Dunning, Simon Tavaré, & Andy G. Lynch. (2010). Identification and correction of previously unreported spatial phenomena using raw Illumina BeadArray data. BMC Bioinformatics. 11(1). 208–208. 8 indexed citations

13.

Barbosa‐Morais, Nuno L., Mark Dunning, Shamith Samarajiwa, et al.. (2009). A re-annotation pipeline for Illumina BeadArrays: improving the interpretation of gene expression data. Nucleic Acids Research. 38(3). e17–e17. 170 indexed citations

14.

Curtis, Christina, Andy G. Lynch, Mark Dunning, et al.. (2009). The pitfalls of platform comparison: DNA copy number array technologies assessed. BMC Genomics. 10(1). 588–588. 76 indexed citations

15.

Dunning, Mark, Matthew E. Ritchie, Nuno L. Barbosa‐Morais, Simon Tavaré, & Andy G. Lynch. (2008). Spike-in validation of an Illumina-specific variance-stabilizing transformation. BMC Research Notes. 1(1). 18–18. 13 indexed citations

16.

Dunning, Mark, Nuno L. Barbosa‐Morais, Andy G. Lynch, Simon Tavaré, & Matthew E. Ritchie. (2008). Statistical issues in the analysis of Illumina data. BMC Bioinformatics. 9(1). 85–85. 89 indexed citations

17.

Git, Anna, Inmaculada Spiteri, Cherie Blenkiron, et al.. (2008). PMC42, a breast progenitor cancer cell line, has normal-like mRNA and microRNA transcriptomes. Breast Cancer Research. 10(3). R54–R54. 22 indexed citations

18.

Stranger, Barbara E., Alexandra C. Nica, Matthew S. Forrest, et al.. (2007). Population genomics of human gene expression. Nature Genetics. 39(10). 1217–1224. 789 indexed citations breakdown →

19.

Blenkiron, Cherie, Leonard D. Goldstein, Natalie Thorne, et al.. (2007). MicroRNA expression profiling of human breast cancer identifies new markers of tumor subtype. Genome biology. 8(10). R214–R214. 750 indexed citations breakdown →

20.

Wan, Jinrong, Mark Dunning, & Andrew F. Bent. (2002). Probing plant-pathogen interactions and downstream defense signaling using DNA microarrays. Functional & Integrative Genomics. 2(6). 259–273. 88 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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