Mark Cockerill

1.3k total citations
9 papers, 531 citations indexed

About

Mark Cockerill is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Urology. According to data from OpenAlex, Mark Cockerill has authored 9 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 1 paper in Pathology and Forensic Medicine and 1 paper in Urology. Recurrent topics in Mark Cockerill's work include Histone Deacetylase Inhibitors Research (3 papers), Epigenetics and DNA Methylation (2 papers) and Cancer therapeutics and mechanisms (1 paper). Mark Cockerill is often cited by papers focused on Histone Deacetylase Inhibitors Research (3 papers), Epigenetics and DNA Methylation (2 papers) and Cancer therapeutics and mechanisms (1 paper). Mark Cockerill collaborates with scholars based in United Kingdom, Switzerland and United States. Mark Cockerill's co-authors include Richard O. Jenkins, Jennifer S. McKay, Armelle Logié, Paul D. Smith, Barry R. Davies, Paul Martin, James R. Hitchin, Jonathan Tugwood, Daniel H. Wiseman and Alice A. Horton and has published in prestigious journals such as Analytical Biochemistry, Journal of Medicinal Chemistry and Cellular and Molecular Life Sciences.

In The Last Decade

Mark Cockerill

9 papers receiving 519 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Cockerill United Kingdom 7 415 169 82 64 34 9 531
Rempei Yanagawa Japan 7 328 0.8× 180 1.1× 84 1.0× 45 0.7× 90 2.6× 8 537
Siham Djelloul France 7 246 0.6× 311 1.8× 72 0.9× 101 1.6× 63 1.9× 8 555
Swarupa G. Kulkarni United States 10 507 1.2× 293 1.7× 94 1.1× 103 1.6× 85 2.5× 17 754
Magdi Moussa United States 4 206 0.5× 100 0.6× 80 1.0× 89 1.4× 36 1.1× 5 382
Mary Jo Pilat United States 12 407 1.0× 230 1.4× 48 0.6× 68 1.1× 143 4.2× 25 669
Daniel D. VonHoff United States 10 366 0.9× 205 1.2× 43 0.5× 89 1.4× 58 1.7× 13 654
Samantha A. Streicher United States 5 374 0.9× 233 1.4× 59 0.7× 76 1.2× 70 2.1× 9 563
Shin‐ichi Yaguchi Japan 10 371 0.9× 124 0.7× 34 0.4× 44 0.7× 32 0.9× 14 517
Wenjian Min China 14 255 0.6× 190 1.1× 40 0.5× 114 1.8× 29 0.9× 36 507

Countries citing papers authored by Mark Cockerill

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mark Cockerill

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

All Works

9 of 9 papers shown
1.
Dunkley, Tom, Mark Cockerill, Rachel Rowlinson, et al.. (2015). Identification of DYRK1B as a substrate of ERK1/2 and characterisation of the kinase activity of DYRK1B mutants from cancer and metabolic syndrome. Cellular and Molecular Life Sciences. 73(4). 883–900. 27 indexed citations
2.
Kettle, Jason G., Peter Ballard, Catherine Bardelle, et al.. (2015). Discovery and Optimization of a Novel Series of Dyrk1B Kinase Inhibitors To Explore a MEK Resistance Hypothesis. Journal of Medicinal Chemistry. 58(6). 2834–2844. 28 indexed citations
3.
Lynch, James T., Mark Cockerill, James R. Hitchin, Daniel H. Wiseman, & Tim C. P. Somervaille. (2013). CD86 expression as a surrogate cellular biomarker for pharmacological inhibition of the histone demethylase lysine-specific demethylase 1. Analytical Biochemistry. 442(1). 104–106. 43 indexed citations
4.
Hitchin, James R., Julian Blagg, Rosemary Burke, et al.. (2013). Development and evaluation of selective, reversible LSD1 inhibitors derived from fragments. MedChemComm. 4(11). 1513–1513. 50 indexed citations
6.
Camidge, D. Ross, Michael Davies, Peter J. Laud, et al.. (2005). Factors determining the optimal body site and method for obtaining punch biopsies of human skin as a tissue in which to assess pharmacodynamic and pharmacokinetic endpoints in drug development studies. Cancer Chemotherapy and Pharmacology. 57(1). 52–58. 2 indexed citations
7.
Tugwood, Jonathan, et al.. (2003). Genomics and the search for novel biomarkers in toxicology. Biomarkers. 8(2). 79–92. 32 indexed citations
8.
Cockerill, Mark. (1998). Low levels of brain chemical drives mice to drink. BMJ. 317(7172). 1544.3–1544.3. 1 indexed citations
9.
Cockerill, Mark, et al.. (1983). Studies on lipid peroxidation in regenerating rat liver. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 750(1). 208–213. 26 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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