Mark Cockerill
Impact in
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- Melanoma and MAPK Pathways
- Epigenetics and DNA Methylation
- Histone Deacetylase Inhibitors Research
- PI3K/AKT/mTOR signaling in cancer
- Cancer-related gene regulation
Papers in
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- Histone Deacetylase Inhibitors Research 3
- Epigenetics and DNA Methylation 2
- Ubiquitin and proteasome pathways 1
- Gene expression and cancer classification 1
- 14-3-3 protein interactions 1
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- Cancer Mechanisms and Therapy 1
- Co-authors
- Paul D. Smith (2 shared papers)Barry R. Davies (1 shared paper)Armelle Logié (1 shared paper)Richard O. Jenkins (1 shared paper)Jennifer S. McKay (1 shared paper)Paul Martin (1 shared paper)James R. Hitchin (2 shared papers)Jonathan Tugwood (1 shared paper)
- Journals
- Molecular Cancer Therapeutics (1 paper)Analytical Biochemistry (1 paper)MedChemComm (1 paper)Biomarkers (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Mark Cockerill
8 papers receiving 535 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 393
- Oncology 125
- Pathology and Forensic Medicine 66
- Hematology 22
- Cancer Research 28
Countries citing papers authored by Mark Cockerill
This map shows the geographic impact of Mark Cockerill'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 Cockerill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Cockerill more than expected).
Fields of papers citing papers by Mark Cockerill
This network shows the impact of papers produced by Mark Cockerill. 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 Cockerill. The network helps show where Mark Cockerill may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Cockerill, 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 | 2007 | 334 | |
| 2 | 2013 | 55 | |
| 3 | 2013 | 44 | |
| 4 | 2003 | 34 | |
| 5 | 2015 | 28 | |
| 6 | 2015 | 28 | |
| 7 | 1983 | 27 | |
| 8 | 2005 | 3 |
About Mark Cockerill
Mark Cockerill is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Urology, Pharmaceutical Science and Epidemiology, having authored 8 papers that have together received 553 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (3 papers), Epigenetics and DNA Methylation (2 papers), Cancer Mechanisms and Therapy (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Ubiquitin and proteasome pathways (1 paper), Gene expression and cancer classification (1 paper), Hair Growth and Disorders (1 paper) and 14-3-3 protein interactions (1 paper). The work is most often cited by research in Molecular Biology (393 citations), Oncology (125 citations), Pathology and Forensic Medicine (66 citations), Hematology (22 citations) and Cancer Research (28 citations). Mark Cockerill has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Paul D. Smith, Barry R. Davies, Armelle Logié, Richard O. Jenkins, Jennifer S. McKay, Paul Martin, James R. Hitchin, Jonathan Tugwood, Tim C. P. Somervaille and James T. Lynch. Their work appears in journals such as Molecular Cancer Therapeutics, Analytical Biochemistry, MedChemComm, Biomarkers and Journal of Medicinal Chemistry.
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.