Mark Devlin

434 total citations
9 papers, 219 citations indexed

About

Mark Devlin is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mark Devlin has authored 9 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mark Devlin's work include Click Chemistry and Applications (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). Mark Devlin is often cited by papers focused on Click Chemistry and Applications (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). Mark Devlin collaborates with scholars based in Australia and Iran. Mark Devlin's co-authors include Arthur Christopoulos, Ian P. Street, Trent D. Ashton, Cassandra L. Fleming, Anthony Natoli, Frederick M. Pfeffer, Valentina Dubljevic, Terrance G. Johns, Timothy E. Adams and Sameer A. Greenall and has published in prestigious journals such as Oncogene, Chemical Communications and Journal of Neurochemistry.

In The Last Decade

Mark Devlin

9 papers receiving 219 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 Devlin Australia 8 101 47 44 42 29 9 219
Léonid Volkov Canada 12 242 2.4× 36 0.8× 14 0.3× 45 1.1× 41 1.4× 19 353
Sherif Boulos Australia 10 265 2.6× 56 1.2× 16 0.4× 40 1.0× 37 1.3× 16 362
Keith Del Villar United States 9 246 2.4× 43 0.9× 16 0.4× 86 2.0× 15 0.5× 12 369
Cristina Visintin United Kingdom 11 172 1.7× 44 0.9× 82 1.9× 40 1.0× 9 0.3× 14 405
Simon J. Mountford Australia 10 208 2.1× 70 1.5× 15 0.3× 52 1.2× 24 0.8× 29 363
Erich Goldbach United States 12 136 1.3× 33 0.7× 49 1.1× 17 0.4× 8 0.3× 19 366
Julia S. Gelman United States 7 240 2.4× 56 1.2× 23 0.5× 81 1.9× 7 0.2× 8 330
Annette Russell United Kingdom 6 244 2.4× 26 0.6× 90 2.0× 28 0.7× 11 0.4× 8 339
Khanh K. Dao Norway 6 399 4.0× 96 2.0× 19 0.4× 31 0.7× 14 0.5× 6 519
Philippe Codron France 11 202 2.0× 68 1.4× 24 0.5× 18 0.4× 78 2.7× 27 428

Countries citing papers authored by Mark Devlin

Since Specialization
Citations

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

Fields of papers citing papers by Mark Devlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Devlin

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Devlin. A scholar is included among the top collaborators of Mark Devlin 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 Devlin. Mark Devlin 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.
Fleming, Cassandra L., Anthony Natoli, Mark Devlin, et al.. (2018). Highly fluorescent and HDAC6 selective scriptaid analogues. European Journal of Medicinal Chemistry. 162. 321–333. 22 indexed citations
2.
Greenall, Sameer A., Jacqueline F. Donoghue, Michelle Van Sinderen, et al.. (2015). EGFRvIII-mediated transactivation of receptor tyrosine kinases in glioma: mechanism and therapeutic implications. Oncogene. 34(41). 5277–5287. 41 indexed citations
3.
Fleming, Cassandra L., Trent D. Ashton, Cameron J. Nowell, et al.. (2015). A fluorescent histone deacetylase (HDAC) inhibitor for cellular imaging. Chemical Communications. 51(37). 7827–7830. 35 indexed citations
4.
Li, Rong, Judy P. Doherty, Sheng Chen, et al.. (2012). LIM kinase inhibition reduces breast cancer growth and invasiveness but systemic inhibition does not reduce metastasis in mice. Clinical & Experimental Metastasis. 30(4). 483–495. 40 indexed citations
5.
Devlin, Mark, et al.. (2007). Hepta and octapeptide agonists of protease‐activated receptor 2. Journal of Peptide Science. 13(12). 856–861. 8 indexed citations
6.
Devlin, Mark, et al.. (2007). Initial support for the hypothesis that PAR2 is involved in the immune response to Nippostrongylus brasiliensis in mice. Parasitology Research. 101(1). 105–109. 13 indexed citations
7.
Devlin, Mark, et al.. (2004). Regulation of serotonin 5-HT2C receptors by chronic ligand exposure. European Journal of Pharmacology. 498(1-3). 59–69. 16 indexed citations
8.
Devlin, Mark, James A. Angus, Kathryn M. Wilson, & Christine E. Wright. (2002). Acute Effects Of L‐ And T‐Type Calcium Channel Antagonists On Cardiovascular Reflexes In Conscious Rabbits. Clinical and Experimental Pharmacology and Physiology. 29(5-6). 372–380. 3 indexed citations
9.
Devlin, Mark & Arthur Christopoulos. (2002). Modulation of cannabinoid agonist binding by 5‐HT in the rat cerebellum. Journal of Neurochemistry. 80(6). 1095–1102. 41 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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