Simon Wilkinson

24.2k total citations · 2 hit papers
54 papers, 4.3k citations indexed

About

Simon Wilkinson is a scholar working on Epidemiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Simon Wilkinson has authored 54 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Epidemiology, 21 papers in Molecular Biology and 18 papers in Cell Biology. Recurrent topics in Simon Wilkinson's work include Autophagy in Disease and Therapy (25 papers), Endoplasmic Reticulum Stress and Disease (11 papers) and Cellular transport and secretion (6 papers). Simon Wilkinson is often cited by papers focused on Autophagy in Disease and Therapy (25 papers), Endoplasmic Reticulum Stress and Disease (11 papers) and Cellular transport and secretion (6 papers). Simon Wilkinson collaborates with scholars based in United Kingdom, United States and Germany. Simon Wilkinson's co-authors include Kevin M. Ryan, Diane Crighton, Jim O’Prey, Christopher J. Marshall, Hugh F. Paterson, Tim Crook, Nelofer Syed, Milena Gasco, Paul R. Harrison and Ornella Garrone and has published in prestigious journals such as Cell, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Simon Wilkinson

52 papers receiving 4.3k citations

Hit Papers

DRAM, a p53-Induced Modulator of Autophagy, Is Critical f... 2006 2026 2012 2019 2006 2017 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Wilkinson United Kingdom 29 2.3k 2.1k 1.1k 697 512 54 4.3k
Kurt Degenhardt United States 22 3.0k 1.3× 2.1k 1.0× 720 0.7× 705 1.0× 713 1.4× 26 4.5k
Sarah J. Welsh United Kingdom 25 2.5k 1.1× 1.3k 0.6× 379 0.4× 716 1.0× 1.3k 2.5× 69 4.5k
Sebastian Wagner Germany 32 5.2k 2.2× 1.7k 0.8× 969 0.9× 1.3k 1.9× 772 1.5× 64 7.7k
Nicola Brunetti‐Pierri Italy 41 3.3k 1.4× 822 0.4× 480 0.4× 530 0.8× 345 0.7× 191 5.7k
Christian Münch Germany 28 2.8k 1.2× 873 0.4× 655 0.6× 385 0.6× 432 0.8× 91 4.4k
Jonathan A. Nowak United States 31 1.8k 0.8× 738 0.4× 776 0.7× 1.4k 2.0× 651 1.3× 100 4.4k
Ameeta Kelekar United States 26 2.3k 1.0× 864 0.4× 376 0.4× 564 0.8× 514 1.0× 43 3.5k
Simon Walker United Kingdom 34 1.9k 0.8× 2.0k 1.0× 1.2k 1.2× 167 0.2× 150 0.3× 83 5.1k
Joan Gil Spain 38 2.9k 1.2× 441 0.2× 364 0.3× 918 1.3× 509 1.0× 110 4.9k
Abelardo López‐Rivas Spain 41 3.3k 1.4× 615 0.3× 446 0.4× 1.1k 1.5× 660 1.3× 105 5.0k

Countries citing papers authored by Simon Wilkinson

Since Specialization
Citations

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

Fields of papers citing papers by Simon Wilkinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Wilkinson

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Wilkinson. A scholar is included among the top collaborators of Simon 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 Simon Wilkinson. Simon Wilkinson 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.
Jiménez-Moreno, Natalia, et al.. (2025). Lysosomal Degradation of ER Client Proteins by ER-phagy and Related Pathways. Journal of Molecular Biology. 437(18). 169035–169035. 2 indexed citations
2.
Wilkinson, Simon & Jarrod Haar. (2023). Smartdevice use in a COVID‐19 world: Exploring work–family conflict and turnover intentions. Asia Pacific Journal of Human Resources. 61(4). 981–1007. 9 indexed citations
3.
Phuyal, Santosh, Matthew D. Smith, Manuel Kaulich, et al.. (2020). ACSL3 is a novel GABARAPL2 interactor that links ufmylation and lipid droplet biogenesis. Journal of Cell Science. 133(18). 22 indexed citations
4.
Li, Ruidong, Petr Müller, Sachin Kote, et al.. (2020). The MDM2 ligand Nutlin-3 differentially alters expression of the immune blockade receptors PD-L1 and CD276. Cellular & Molecular Biology Letters. 25(1). 41–41. 24 indexed citations
5.
Wilkinson, Simon. (2019). Emerging Principles of Selective ER Autophagy. Journal of Molecular Biology. 432(1). 185–205. 89 indexed citations
6.
Karr, Jonathan R., Jeremy Zucker, Andreas Raue, et al.. (2015). Summary of the DREAM8 Parameter Estimation Challenge: Toward Parameter Identification for Whole-Cell Models. PLoS Computational Biology. 11(5). e1004096–e1004096. 51 indexed citations
7.
Dunlop, Elaine A., Tijs Claessens, Christian Behrends, et al.. (2014). FLCN, a novel autophagy component, interacts with GABARAP and is regulated by ULK1 phosphorylation. Autophagy. 10(10). 1749–1760. 52 indexed citations
8.
Wilkinson, Simon, Ericka L. Anderson, Jill Meisenhelder, et al.. (2014). Phosphorylation of LC3 by the Hippo Kinases STK3/STK4 Is Essential for Autophagy. Molecular Cell. 57(1). 55–68. 147 indexed citations
9.
Kim, Hyungsoo, Maria Cecilia Scimia, Simon Wilkinson, et al.. (2011). Fine-Tuning of Drp1/Fis1 Availability by AKAP121/Siah2 Regulates Mitochondrial Adaptation to Hypoxia. Molecular Cell. 44(4). 532–544. 204 indexed citations
10.
Wilkinson, Simon, et al.. (2011). The cyclin-dependent kinase PITSLRE/CDK11 is required for successful autophagy. Autophagy. 7(11). 1295–1301. 32 indexed citations
11.
Sandilands, Emma, Bryan Serrels, David G. McEwan, et al.. (2011). Autophagic targeting of Src promotes cancer cell survival following reduced FAK signalling. Nature Cell Biology. 14(1). 51–60. 147 indexed citations
12.
Wilkinson, Simon & Kevin M. Ryan. (2010). Autophagy: an adaptable modifier of tumourigenesis. Current Opinion in Genetics & Development. 20(1). 57–64. 38 indexed citations
13.
Wilkinson, Simon, Jim O’Prey, Michael Fricker, & Kevin M. Ryan. (2009). Hypoxia-selective macroautophagy and cell survival signaled by autocrine PDGFR activity. Genes & Development. 23(11). 1283–1288. 59 indexed citations
14.
15.
Yee, Karen S., Simon Wilkinson, Joanna L. James, Kevin M. Ryan, & Karen H. Vousden. (2009). PUMA- and Bax-induced autophagy contributes to apoptosis. Cell Death and Differentiation. 16(8). 1135–1145. 205 indexed citations
16.
Wilkinson, Simon, et al.. (2008). The use of complementary therapy by men with prostate cancer in the UK. European Journal of Cancer Care. 17(5). 492–499. 22 indexed citations
17.
Crighton, Diane, Simon Wilkinson, & Kevin M. Ryan. (2007). DRAM Links Autophagy to p53 and Programmed Cell Death. Autophagy. 3(1). 72–74. 168 indexed citations
18.
Wilkinson, Simon & Tony White. (2004). The AntSynNet Algorithm: Network Syntheses Using Ant Colony Optimization.. International Conference on Artificial Intelligence. 648–663.
19.
Wilkinson, Simon & Gerald W. Chodak. (2004). An Evaluation of Intermediate-Dose Ketoconazole in Hormone Refractory Prostate Cancer. European Urology. 45(5). 581–585. 38 indexed citations
20.
Wilkinson, Simon, Marcy A. List, Michael Sinner, Lanting Dai, & Gerald W. Chodak. (2003). Educating African-American men about prostate cancer: impact on awareness and knowledge. Urology. 61(2). 308–313. 68 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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