Mark Dunning
- Cancer Research top 0.2%
- Cancer Genomics and Diagnostics 6
- Genetics top 0.5%
- Genetic Associations and Epidemiology 4
- Molecular Biology top 1%
- Gene expression and cancer classification 13
- Single-cell and spatial transcriptomics 6
- Genomics and Chromatin Dynamics 5
- Molecular Biology Techniques and Applications 4
- Oncology top 2%
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- Prostate Cancer Treatment and Research 5
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- Cell Image Analysis Techniques 5
- Co-authors
- Simon TavaréCarlos CaldasSuet‐Feung ChinMatthew E. RitchieAndrew E. TeschendorffAndrew R. GreenIan O. EllisNatalie Thorne
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Mark Dunning
43 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Cancer Research 3.1k
- Genetics 1.9k
- Molecular Biology 4.6k
- Oncology 1.4k
- Pulmonary and Respiratory Medicine 1.1k
Countries citing papers authored by Mark Dunning
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
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
The 25 scholars most cited alongside Mark Dunning, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 29 | |
| 5 | 2023 | 10 | |
| 6 | 2021 | 8 | |
| 7 | 2017 | 21 | |
| 8 | 2016 | 81 | |
| 9 | Differential oestrogen receptor binding is associated with clinical outcome in breast cancerbreakdown → | 2012 | 1304 |
| 10 | 2011 | 40 | |
| 11 | 2010 | 4 | |
| 12 | 2010 | 8 | |
| 13 | 2009 | 170 | |
| 14 | 2009 | 76 | |
| 15 | 2008 | 13 | |
| 16 | 2008 | 89 | |
| 17 | 2008 | 22 | |
| 18 | Population genomics of human gene expressionbreakdown → | 2007 | 789 |
| 19 | MicroRNA expression profiling of human breast cancer identifies new markers of tumor subtypebreakdown → | 2007 | 750 |
| 20 | 2002 | 88 |
About Mark Dunning
Mark Dunning is a scholar working on Biophysics, Cancer Research, Molecular Biology, Neurology and Genetics, having authored 46 papers that have together received 7.8k indexed citations. Recurring topics across this work include Gene expression and cancer classification (13 papers), Single-cell and spatial transcriptomics (6 papers), Cancer Genomics and Diagnostics (6 papers), Cell Image Analysis Techniques (5 papers), Genomics and Chromatin Dynamics (5 papers), Prostate Cancer Treatment and Research (5 papers), Genetic Associations and Epidemiology (4 papers) and Molecular Biology Techniques and Applications (4 papers). The work is most often cited by research in Cancer Research (3.1k citations), Genetics (1.9k citations), Molecular Biology (4.6k citations), Oncology (1.4k citations) and Pulmonary and Respiratory Medicine (1.1k citations). Mark Dunning has collaborated with scholars based in United Kingdom, United States and Australia. Frequent 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. Their work appears in journals such as Bioinformatics, Endocrine Related Cancer, Genome biology, Nature Genetics and BMC Bioinformatics.
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.