Mark J. I. Paine

7.7k total citations
109 papers, 5.6k citations indexed

About

Mark J. I. Paine is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Pharmacology. According to data from OpenAlex, Mark J. I. Paine has authored 109 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 46 papers in Public Health, Environmental and Occupational Health and 34 papers in Pharmacology. Recurrent topics in Mark J. I. Paine's work include Pharmacogenetics and Drug Metabolism (33 papers), Malaria Research and Control (33 papers) and Mosquito-borne diseases and control (26 papers). Mark J. I. Paine is often cited by papers focused on Pharmacogenetics and Drug Metabolism (33 papers), Malaria Research and Control (33 papers) and Mosquito-borne diseases and control (26 papers). Mark J. I. Paine collaborates with scholars based in United Kingdom, United States and Greece. Mark J. I. Paine's co-authors include C. Roland Wolf, Gordon C. K. Roberts, Janet Hemingway, Julian M. Crampton, Hilary Ranson, Bradley J. Stevenson, Michael J. Sutcliffe, R.D.G. Theakston, Hanafy M. Ismail and Jean‐Philippe David and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Mark J. I. Paine

107 papers receiving 5.5k 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 J. I. Paine United Kingdom 43 3.0k 1.8k 1.4k 1.1k 975 109 5.6k
Jennifer L. Martin Australia 48 5.4k 1.8× 504 0.3× 252 0.2× 404 0.4× 454 0.5× 157 8.1k
Glaucius Oliva Brazil 40 3.0k 1.0× 940 0.5× 198 0.1× 467 0.4× 263 0.3× 205 6.6k
Paulo C. Vieira Brazil 34 2.4k 0.8× 465 0.3× 767 0.6× 2.0k 1.9× 605 0.6× 306 5.2k
Jochen Wiesner Germany 42 3.7k 1.2× 1.7k 0.9× 426 0.3× 184 0.2× 360 0.4× 92 6.4k
Paul A.M. Michels Belgium 61 7.4k 2.5× 3.7k 2.0× 617 0.5× 748 0.7× 71 0.1× 266 11.6k
W. Peters United Kingdom 46 1.5k 0.5× 6.2k 3.4× 291 0.2× 896 0.8× 1.3k 1.3× 247 8.4k
Christian D. Klein Germany 37 1.7k 0.6× 1.5k 0.8× 256 0.2× 107 0.1× 258 0.3× 101 4.5k
Sérgio de Albuquerque Brazil 35 1.5k 0.5× 801 0.4× 231 0.2× 751 0.7× 354 0.4× 173 3.7k
Joel D. A. Tyndall New Zealand 40 3.0k 1.0× 279 0.2× 254 0.2× 274 0.3× 109 0.1× 111 6.0k
U. Helena Danielson Sweden 39 4.7k 1.6× 271 0.1× 105 0.1× 305 0.3× 493 0.5× 158 6.6k

Countries citing papers authored by Mark J. I. Paine

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. I. Paine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark J. I. Paine

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

All Works

20 of 20 papers shown
3.
Cárdenas, Rocío, Maria Angelica Carrillo, Ana Pineda, et al.. (2024). Aedes aegypti control in breeding sites through an insecticidal coating with dual effect: Laboratory trials and safety assessment. Medical and Veterinary Entomology. 39(2). 252–265. 1 indexed citations
5.
Sterkel, Marcos, Lee R. Haines, Aitor Casas-Sánchez, et al.. (2021). Repurposing the orphan drug nitisinone to control the transmission of African trypanosomiasis. PLoS Biology. 19(1). e3000796–e3000796. 16 indexed citations
6.
Lees, Rosemary Susan, Hanafy M. Ismail, David Malone, et al.. (2020). New insecticide screening platforms indicate that Mitochondrial Complex I inhibitors are susceptible to cross-resistance by mosquito P450s that metabolise pyrethroids. Scientific Reports. 10(1). 16232–16232. 19 indexed citations
7.
Yunta, Cristina, et al.. (2018). Characterisation of Anopheles gambiae heme oxygenase and metalloporphyrin feeding suggests a potential role in reproduction. Insect Biochemistry and Molecular Biology. 98. 25–33. 11 indexed citations
8.
Saavedra-Rodríguez, Karla, et al.. (2017). Insecticide resistance to permethrin and malathion and associated mechanisms in Aedes aegypti mosquitoes from St. Andrew Jamaica. PLoS ONE. 12(6). e0179673–e0179673. 42 indexed citations
9.
Voice, Michael W., et al.. (2012). Recombinant cyp6m2 inhibition by insecticides recommended by WHO for indoor residual spraying against malaria vectors. LSTM Online Archive (Liverpool School of Tropical Medicine). 4 indexed citations
10.
Stevenson, Bradley J., Patricia Pignatelli, Dimitra Nikou, & Mark J. I. Paine. (2012). Pinpointing P450s Associated with Pyrethroid Metabolism in the Dengue Vector, Aedes aegypti: Developing New Tools to Combat Insecticide Resistance. PLoS neglected tropical diseases. 6(3). e1595–e1595. 118 indexed citations
12.
Morou, Evangelia, Andrew Dowd, Andrew Steven, et al.. (2010). A Simple Colorimetric Assay for Specific Detection of Glutathione-S Transferase Activity Associated with DDT Resistance in Mosquitoes. PLoS neglected tropical diseases. 4(8). e808–e808. 179 indexed citations
13.
Kemp, Carol A., Jack U. Flanagan, Jean‐Didier Maréchal, et al.. (2004). Validation of Model of Cytochrome P450 2D6:  An in Silico Tool for Predicting Metabolism and Inhibition. Journal of Medicinal Chemistry. 47(22). 5340–5346. 60 indexed citations
14.
Paine, Mark J. I., et al.. (2001). Carotid dissection: a common cause of Horner's syndrome. Clinical and Experimental Ophthalmology. 29(6). 411–415. 1 indexed citations
15.
Paine, Mark J. I., Andrew P. Garner, David J. Powell, et al.. (2000). Cloning and Characterization of a Novel Human Dual Flavin Reductase. Journal of Biological Chemistry. 275(2). 1471–1478. 75 indexed citations
16.
17.
Cairns, William, Mark J. I. Paine, Sandeep Modi, et al.. (1997). Metabolism of MPTP by cytochrome P4502D6 and the demonstration of 2D6 m RNA in human foetal and adult brain by in situ hybridization. Xenobiotica. 27(1). 111–125. 88 indexed citations
18.
Modi, Sandeep, Mark J. I. Paine, Michael J. Sutcliffe, et al.. (1996). A Model for Human Cytochrome P450 2D6 Based on Homology Modeling and NMR Studies of Substrate Binding. Biochemistry. 35(14). 4540–4550. 129 indexed citations
19.
Moura‐da‐Silva, Ana M., Mark J. I. Paine, Marcelo Ribeiro Vasconcelos Diniz, R.D.G. Theakston, & Julian M. Crampton. (1995). The molecular cloning of a phospholipase A2 from Bothrops jararacussu snake venom: Evolution of venom group II phospholipase A2's may imply gene duplications. Journal of Molecular Evolution. 41(2). 174–9. 49 indexed citations
20.
Paine, Mark J. I., H. Desmond, R.D.G. Theakston, & Julian M. Crampton. (1992). Gene expression in Echis carinatus (carpet viper) venom glands following milking. Toxicon. 30(4). 379–386. 30 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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