Marc Sturrock

493 total citations
29 papers, 344 citations indexed

About

Marc Sturrock is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Marc Sturrock has authored 29 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Genetics. Recurrent topics in Marc Sturrock's work include Gene Regulatory Network Analysis (9 papers), Mathematical Biology Tumor Growth (5 papers) and DNA Repair Mechanisms (4 papers). Marc Sturrock is often cited by papers focused on Gene Regulatory Network Analysis (9 papers), Mathematical Biology Tumor Growth (5 papers) and DNA Repair Mechanisms (4 papers). Marc Sturrock collaborates with scholars based in United Kingdom, Ireland and United States. Marc Sturrock's co-authors include Mark A. J. Chaplain, Alan J. Terry, Andreas Hellander, Dimitris P. Xirodimas, Alastair M. Thompson, Anastasios Matzavinos, Vahid Shahrezaei, Mariya Ptashnyk, Shiyu Li and Linda Petzold and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Marc Sturrock

28 papers receiving 335 citations

Peers

Marc Sturrock

GENET

ONCOL

Wassim Abou-Jaoudé France

Anael Verdugo United States

Kathy Chen United States

Alejandra C. Ventura United States

Sergey Aksenov United States

Vincent Calvez France

Krzysztof Puszyński Poland

Arnaud Chauvière United States

Javad Noorbakhsh United States

Gero Wedemann Germany

Wassim Abou-Jaoudé France

Marc Sturrock

491 ×1.8

30 ×0.5

41 ×0.7

GENET

58 ×1.3

88 ×2.0

ONCOL

Citations per year, relative to Marc Sturrock Marc Sturrock (= 1×) peers Wassim Abou-Jaoudé

Countries citing papers authored by Marc Sturrock

Since Specialization

Citations

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

Fields of papers citing papers by Marc Sturrock

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Sturrock

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

All Works

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20 of 20 papers shown

Wang, Yangfan, Ping Ni, Marc Sturrock, et al.. (2024). Deep learning for genomic selection of aquatic animals. Marine Life Science & Technology. 6(4). 631–650. 6 indexed citations

Shahrezaei, Vahid, et al.. (2022). Benchmarking imputation methods for network inference using a novel method of synthetic scRNA-seq data generation. BMC Bioinformatics. 23(1). 236–236. 2 indexed citations

Sturrock, Marc, et al.. (2022). Efficient Bayesian inference for stochastic agent-based models. PLoS Computational Biology. 18(10). e1009508–e1009508. 16 indexed citations

Ni, Ping, Marc Sturrock, Yangfan Wang, et al.. (2022). Fine-mapping and association analysis of candidate genes for papilla number in sea cucumber, Apostichopus japonicus. Marine Life Science & Technology. 4(3). 343–355. 6 indexed citations

Sturrock, Marc, et al.. (2021). The influence of methylation status on a stochastic model of MGMT dynamics in glioblastoma: Phenotypic selection can occur with and without a downshift in promoter methylation status. Journal of Theoretical Biology. 521. 110662–110662. 1 indexed citations

Fichtner, Michael, Katherine McAllister, Christopher McCann, et al.. (2019). Heterogeneous responses to low level death receptor activation are explained by random molecular assembly of the Caspase-8 activation platform. PLoS Computational Biology. 15(9). e1007374–e1007374. 9 indexed citations

Sturrock, Marc, Ian S. Miller, Guolian Kang, et al.. (2018). Anti-angiogenic drug scheduling optimisation with application to colorectal cancer. Scientific Reports. 8(1). 11182–11182. 6 indexed citations

Sturrock, Marc, Shiyu Li, & Vahid Shahrezaei. (2017). The influence of nuclear compartmentalisation on stochastic dynamics of self-repressing gene expression. Journal of Theoretical Biology. 424. 55–72. 12 indexed citations

Sturrock, Marc, et al.. (2016). Identifying ultrasensitive HGF dose-response functions in a 3D mammalian system for synthetic morphogenesis. Scientific Reports. 6(1). 39178–39178. 5 indexed citations

10.

Sturrock, Marc. (2016). Stochastic reaction–diffusion algorithms for macromolecular crowding. Physical Biology. 13(3). 36010–36010. 1 indexed citations

11.

Sturrock, Marc, Wenrui Hao, Judith Schwartzbaum, & Grzegorz A. Rempała. (2015). A mathematical model of pre-diagnostic glioma growth. Journal of Theoretical Biology. 380. 299–308. 13 indexed citations

12.

Sturrock, Marc, Philip J. Murray, Anastasios Matzavinos, & Mark A. J. Chaplain. (2014). Mean field analysis of a spatial stochastic model of a gene regulatory network. Journal of Mathematical Biology. 71(4). 921–959. 8 indexed citations

13.

Sturrock, Marc, et al.. (2013). The Role of Dimerisation and Nuclear Transport in the Hes1 Gene Regulatory Network. Bulletin of Mathematical Biology. 76(4). 766–798. 22 indexed citations

14.

Sturrock, Marc, Andreas Hellander, Anastasios Matzavinos, & Mark A. J. Chaplain. (2013). Spatial stochastic modelling of the Hes1 gene regulatory network: intrinsic noise can explain heterogeneity in embryonic stem cell differentiation. Journal of The Royal Society Interface. 10(80). 20120988–20120988. 53 indexed citations

15.

Sturrock, Marc, Alan J. Terry, Dimitris P. Xirodimas, Alastair M. Thompson, & Mark A. J. Chaplain. (2012). Influence of the Nuclear Membrane, Active Transport, and Cell Shape on the Hes1 and p53–Mdm2 Pathways: Insights from Spatio-temporal Modelling. Bulletin of Mathematical Biology. 74(7). 1531–1579. 30 indexed citations

16.

Sturrock, Marc, et al.. (2012). Abstract P5-05-06: Spatio-temporal computational modeling of the p53-Mdm2 pathway. Cancer Research. 72(24_Supplement). P5–5.

17.

Terry, Alan J., Marc Sturrock, J. Kim Dale, Miguel Maroto, & Mark A. J. Chaplain. (2011). A Spatio-Temporal Model of Notch Signalling in the Zebrafish Segmentation Clock: Conditions for Synchronised Oscillatory Dynamics. PLoS ONE. 6(2). e16980–e16980. 22 indexed citations

18.

Sturrock, Marc, Alan J. Terry, Dimitris P. Xirodimas, Alastair M. Thompson, & Mark A. J. Chaplain. (2010). Spatio-temporal modelling of the Hes1 and p53-Mdm2 intracellular signalling pathways. Journal of Theoretical Biology. 273(1). 15–31. 61 indexed citations

19.

Sturrock, Marc, et al.. (1975). Radiation-induced Decrease in Influx Rates of Potassium Ions into Thymocytes in Vitro in Relation to Decreased Intracellular Adenosine Triphosphate Concentrations. International Journal of Radiation Biology and Related Studies in Physics Chemistry and Medicine. 28(2). 155–163. 3 indexed citations

20.

Sturrock, Marc, et al.. (1972). The Effects of X-irradiationin Vitroon the Transport of Potassium Ions in Thymocytes. International Journal of Radiation Biology and Related Studies in Physics Chemistry and Medicine. 22(1). 1–9. 20 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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