Richard D. Wilkinson

828 total citations
13 papers, 619 citations indexed

About

Richard D. Wilkinson is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Richard D. Wilkinson has authored 13 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Richard D. Wilkinson's work include Protease and Inhibitor Mechanisms (4 papers), interferon and immune responses (2 papers) and Cardiac electrophysiology and arrhythmias (2 papers). Richard D. Wilkinson is often cited by papers focused on Protease and Inhibitor Mechanisms (4 papers), interferon and immune responses (2 papers) and Cardiac electrophysiology and arrhythmias (2 papers). Richard D. Wilkinson collaborates with scholars based in United Kingdom, Ireland and Bangladesh. Richard D. Wilkinson's co-authors include Richard D. Williams, Christopher J. Scott, Roberta E. Burden, Richard D. Kennedy, Nuala McCabe, Niamh E. Buckley, Stephen McQuaid, Kienan I. Savage, Manuel Salto‐Tellez and D. Paul Harkin and has published in prestigious journals such as Journal of Biological Chemistry, JNCI Journal of the National Cancer Institute and Cancer Research.

In The Last Decade

Richard D. Wilkinson

9 papers receiving 616 citations

Peers

Richard D. Wilkinson
John G. Facciponte United States
Tuhina Mazumdar United States
Gia-Shing Shieh Taiwan
Mónica Béquet‐Romero Cuba
Sara Gorjestani United States
Caryll Waugh Australia
Peisha Yan United States
Ahmed Lasfar United States
John G. Facciponte United States
Richard D. Wilkinson
Citations per year, relative to Richard D. Wilkinson Richard D. Wilkinson (= 1×) peers John G. Facciponte

Countries citing papers authored by Richard D. Wilkinson

Since Specialization
Citations

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

Fields of papers citing papers by Richard D. Wilkinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard D. Wilkinson. 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 Richard D. Wilkinson. The network helps show where Richard D. Wilkinson may publish in the future.

Co-authorship network of co-authors of Richard D. Wilkinson

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

All Works

13 of 13 papers shown
1.
Preston, Simon, et al.. (2025). Think before you fit: Parameter identifiability, sensitivity and uncertainty in systems biology models. Current Opinion in Systems Biology. 42. 100563–100563.
2.
Corrado, Cesare, et al.. (2024). Global Sensitivity Analysis of Left Atrial Electrophysiology Models. Computing in cardiology. 51.
3.
McClafferty, Heather, Michael J. Shipston, Richard D. Wilkinson, et al.. (2023). Oxidation modulates LINGO2-induced inactivation of large conductance, Ca2+-activated potassium channels. Journal of Biological Chemistry. 299(3). 102975–102975. 5 indexed citations
4.
Corrado, Cesare, et al.. (2022). A Workflow for Probabilistic Calibration of Models of Left Atrial Electrophysiology. Computing in cardiology. 1 indexed citations
5.
Wilkinson, Richard D., et al.. (2022). Adjoint-Aided Inference of Gaussian Process Driven Differential Equations. 17233–17247.
6.
Wilkinson, Richard D., Roberta E. Burden, Darragh G. McArt, et al.. (2019). A Novel Role for Cathepsin S as a Potential Biomarker in Triple Negative Breast Cancer. Journal of Oncology. 2019. 1–12. 23 indexed citations
7.
Wilkinson, Richard D., David Johnston, Eileen E. Parkes, Nuala McCabe, & Richard D. Kennedy. (2018). Abstract 3787: Exploring the effect of chemotherapies on STING-dependent cytokine release. Cancer Research. 78(13_Supplement). 3787–3787. 3 indexed citations
8.
9.
Parkes, Eileen E., Steven M. Walker, Laura E. Taggart, et al.. (2016). Activation of STING-Dependent Innate Immune Signaling By S-Phase-Specific DNA Damage in Breast Cancer. JNCI Journal of the National Cancer Institute. 109(1). djw199–djw199. 341 indexed citations
10.
Wilkinson, Richard D., Andrew Young, Roberta E. Burden, Richard D. Williams, & Christopher J. Scott. (2016). A bioavailable cathepsin S nitrile inhibitor abrogates tumor development. Molecular Cancer. 15(1). 29–29. 31 indexed citations
11.
Wilkinson, Richard D., Richard D. Williams, Christopher J. Scott, & Roberta E. Burden. (2015). Cathepsin S: therapeutic, diagnostic, and prognostic potential. Biological Chemistry. 396(8). 867–882. 158 indexed citations
12.
Wilkinson, Richard D., Richard D. Williams, Andrew Young, et al.. (2015). CCL2 is transcriptionally controlled by the lysosomal protease cathepsin S in a CD74-dependent manner. Oncotarget. 6(30). 29725–29739. 28 indexed citations
13.
Wilkinson, Richard D., Christopher J. Law, Elizabeth M. Hoey, et al.. (2012). An amino acid substitution in Fasciola hepatica P-glycoprotein from triclabendazole-resistant and triclabendazole-susceptible populations. Molecular and Biochemical Parasitology. 186(1). 69–72. 29 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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2026