Mark C. Wenlock

1.5k total citations
21 papers, 1.1k citations indexed

About

Mark C. Wenlock is a scholar working on Computational Theory and Mathematics, Spectroscopy and Molecular Biology. According to data from OpenAlex, Mark C. Wenlock has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Theory and Mathematics, 10 papers in Spectroscopy and 7 papers in Molecular Biology. Recurrent topics in Mark C. Wenlock's work include Computational Drug Discovery Methods (12 papers), Analytical Chemistry and Chromatography (10 papers) and Analytical Methods in Pharmaceuticals (5 papers). Mark C. Wenlock is often cited by papers focused on Computational Drug Discovery Methods (12 papers), Analytical Chemistry and Chromatography (10 papers) and Analytical Methods in Pharmaceuticals (5 papers). Mark C. Wenlock collaborates with scholars based in United Kingdom, Sweden and Denmark. Mark C. Wenlock's co-authors include Patrick Barton, Rupert P. Austin, Paul D. Leeson, A. M. Davis, Robert J. Riley, Scott L. Cockroft, Stephen A. St-Gallay, Lars Carlsson, Tim Luker and Andreas Ritzén and has published in prestigious journals such as Journal of Medicinal Chemistry, Pharmaceutical Research and Drug Metabolism and Disposition.

In The Last Decade

Mark C. Wenlock

20 papers receiving 1.0k 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 C. Wenlock United Kingdom 12 482 410 345 239 203 21 1.1k
Patrick Barton United Kingdom 20 579 1.2× 678 1.7× 530 1.5× 408 1.7× 252 1.2× 34 1.7k
Susanne Winiwarter Sweden 19 482 1.0× 510 1.2× 261 0.8× 439 1.8× 204 1.0× 40 1.6k
Shawn Harriman United States 16 242 0.5× 541 1.3× 483 1.4× 238 1.0× 230 1.1× 29 1.3k
Fabio Broccatelli United States 18 435 0.9× 455 1.1× 328 1.0× 404 1.7× 301 1.5× 30 1.5k
Stuart W. Paine United Kingdom 18 263 0.5× 270 0.7× 306 0.9× 237 1.0× 187 0.9× 61 993
Patrizia Crivori Italy 15 670 1.4× 674 1.6× 233 0.7× 314 1.3× 353 1.7× 27 1.6k
Rupert P. Austin United Kingdom 17 516 1.1× 602 1.5× 627 1.8× 549 2.3× 270 1.3× 29 1.8k
Marina Shalaeva United States 16 549 1.1× 506 1.2× 212 0.6× 208 0.9× 243 1.2× 17 1.4k
Izumi Nakagome Japan 17 385 0.8× 542 1.3× 144 0.4× 110 0.5× 438 2.2× 39 1.3k
Gianpaolo Bravi United Kingdom 15 770 1.6× 485 1.2× 425 1.2× 137 0.6× 196 1.0× 25 1.1k

Countries citing papers authored by Mark C. Wenlock

Since Specialization
Citations

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

Fields of papers citing papers by Mark C. Wenlock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark C. Wenlock

This figure shows the co-authorship network connecting the top 25 collaborators of Mark C. Wenlock. A scholar is included among the top collaborators of Mark C. Wenlock 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 C. Wenlock. Mark C. Wenlock 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
1.
Berry, Neil G., Gemma L. Nixon, Suet C. Leung, et al.. (2021). Development of Pyrazolopyrimidine Anti-Wolbachia Agents for the Treatment of Filariasis. ACS Medicinal Chemistry Letters. 12(9). 1421–1426. 6 indexed citations
2.
Wenlock, Mark C., et al.. (2021). Prediction of Chameleonic Efficiency. ChemMedChem. 16(17). 2669–2685. 19 indexed citations
3.
Wenlock, Mark C.. (2017). Designing safer oral drugs. MedChemComm. 8(3). 571–577. 2 indexed citations
4.
Wenlock, Mark C.. (2016). Oral drug-likeness criteria in preclinical species. MedChemComm. 7(10). 1995–2002. 1 indexed citations
5.
Wenlock, Mark C.. (2016). Profiling the estimated plasma concentrations of 215 marketed oral drugs. MedChemComm. 7(4). 706–719. 10 indexed citations
6.
Colclough, Nicola & Mark C. Wenlock. (2015). Interpreting physicochemical experimental data sets. Journal of Computer-Aided Molecular Design. 29(9). 779–794. 3 indexed citations
7.
Wenlock, Mark C. & Lars Carlsson. (2014). How Experimental Errors Influence Drug Metabolism and Pharmacokinetic QSAR/QSPR Models. Journal of Chemical Information and Modeling. 55(1). 125–134. 44 indexed citations
8.
Wenlock, Mark C. & Patrick Barton. (2013). In SilicoPhysicochemical Parameter Predictions. Molecular Pharmaceutics. 10(4). 1224–1235. 43 indexed citations
9.
Wenlock, Mark C., et al.. (2012). Selection of a screening panel of rhinoviral serotypes. Bioorganic & Medicinal Chemistry Letters. 22(24). 7494–7498. 1 indexed citations
10.
Wenlock, Mark C., et al.. (2011). A Method for Measuring the Lipophilicity of Compounds in Mixtures of 10. SLAS DISCOVERY. 16(3). 348–355. 54 indexed citations
11.
Morley, Andrew, Bryan Roberts, Barry Teobald, et al.. (2011). Lead optimisation of pyrazoles as novel FPR1 antagonists. Bioorganic & Medicinal Chemistry Letters. 22(1). 532–536. 14 indexed citations
12.
Lewis, Richard J., Tim Luker, Roger V. Bonnert, et al.. (2011). In silico prediction of acyl glucuronide reactivity. Journal of Computer-Aided Molecular Design. 25(11). 997–1005. 9 indexed citations
13.
Wenlock, Mark C., Patrick Barton, & Tim Luker. (2011). Lipophilicity of acidic compounds: Impact of ion pair partitioning on drug design. Bioorganic & Medicinal Chemistry Letters. 21(12). 3550–3556. 9 indexed citations
14.
Wenlock, Mark C., Patrick Barton, & Rupert P. Austin. (2011). A kinetic method for the determination of plasma protein binding of compounds unstable in plasma: Specific application to enalapril. Journal of Pharmaceutical and Biomedical Analysis. 55(3). 385–390. 8 indexed citations
15.
Morley, Andrew, Andrew Cook, Bryan Roberts, et al.. (2011). Discovery of pyrazoles as novel FPR1 antagonists. Bioorganic & Medicinal Chemistry Letters. 21(21). 6456–6460. 12 indexed citations
16.
Luker, Tim, Lilian Alcaraz, Kamaldeep K. Chohan, et al.. (2011). Strategies to improve in vivo toxicology outcomes for basic candidate drug molecules. Bioorganic & Medicinal Chemistry Letters. 21(19). 5673–5679. 49 indexed citations
17.
Wenlock, Mark C., et al.. (2011). A Highly Automated Assay for Determining the Aqueous Equilibrium Solubility of Drug Discovery Compounds. JALA Journal of the Association for Laboratory Automation. 16(4). 276–284. 29 indexed citations
18.
Leeson, Paul D., Stephen A. St-Gallay, & Mark C. Wenlock. (2010). Impact of ion class and time on oral drug molecular properties. MedChemComm. 2(2). 91–105. 64 indexed citations
19.
Austin, Rupert P., et al.. (2005). The Thermodynamics of the Partitioning of Ionizing Molecules Between Aqueous Buffers and Phospholipid Membranes. Pharmaceutical Research. 22(10). 1649–1657. 26 indexed citations
20.
Austin, Rupert P., Patrick Barton, Scott L. Cockroft, Mark C. Wenlock, & Robert J. Riley. (2002). The Influence of Nonspecific Microsomal Binding on Apparent Intrinsic Clearance, and Its Prediction from Physicochemical Properties. Drug Metabolism and Disposition. 30(12). 1497–1503. 320 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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