Mark P. Dodding

1.8k total citations
34 papers, 1.3k citations indexed

About

Mark P. Dodding is a scholar working on Cell Biology, Molecular Biology and Virology. According to data from OpenAlex, Mark P. Dodding has authored 34 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cell Biology, 15 papers in Molecular Biology and 9 papers in Virology. Recurrent topics in Mark P. Dodding's work include Microtubule and mitosis dynamics (18 papers), Cellular transport and secretion (12 papers) and Virus-based gene therapy research (6 papers). Mark P. Dodding is often cited by papers focused on Microtubule and mitosis dynamics (18 papers), Cellular transport and secretion (12 papers) and Virus-based gene therapy research (6 papers). Mark P. Dodding collaborates with scholars based in United Kingdom, Tanzania and Japan. Mark P. Dodding's co-authors include Michael Way, Roberto A. Steiner, Jonathan P. Stoye, S. Pernigo, Melvyn W. Yap, Anneri Sanger, Jessica A. Cross, Yan Y. Yip, Ashley C. Humphries and Richard Mitter and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Mark P. Dodding

32 papers receiving 1.3k 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 P. Dodding United Kingdom 22 551 519 355 288 255 34 1.3k
Judy K. VanSlyke United States 17 1.0k 1.9× 326 0.6× 343 1.0× 349 1.2× 322 1.3× 25 1.7k
Sabine Röttger Germany 7 607 1.1× 533 1.0× 225 0.6× 181 0.6× 238 0.9× 7 1.1k
Timothy P. Newsome Australia 17 936 1.7× 531 1.0× 323 0.9× 301 1.0× 342 1.3× 32 1.8k
Aspasia Ploubidou Germany 12 552 1.0× 334 0.6× 170 0.5× 556 1.9× 237 0.9× 18 1.3k
Steven L. Alam United States 19 1.3k 2.4× 654 1.3× 464 1.3× 308 1.1× 122 0.5× 23 2.0k
Hyo-Young Chung United States 7 1.1k 2.0× 1.1k 2.1× 581 1.6× 312 1.1× 141 0.6× 8 2.0k
Chavela M. Carr United States 13 1.4k 2.6× 932 1.8× 240 0.7× 538 1.9× 188 0.7× 16 2.2k
Dimiter Demirov United States 12 461 0.8× 278 0.5× 721 2.0× 304 1.1× 191 0.7× 16 1.2k
Maria Zhadina United States 7 532 1.0× 130 0.3× 356 1.0× 249 0.9× 112 0.4× 7 1.0k
Grégory Effantin France 25 981 1.8× 427 0.8× 134 0.4× 310 1.1× 234 0.9× 52 1.7k

Countries citing papers authored by Mark P. Dodding

Since Specialization
Citations

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

Fields of papers citing papers by Mark P. Dodding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark P. Dodding

This figure shows the co-authorship network connecting the top 25 collaborators of Mark P. Dodding. A scholar is included among the top collaborators of Mark P. Dodding 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 P. Dodding. Mark P. Dodding 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.
Pereira, Gonçalo C., et al.. (2024). Rescue of mitochondrial import failure by intercellular organellar transfer. Nature Communications. 15(1). 988–988. 8 indexed citations
2.
Cross, Jessica A., et al.. (2024). A de novo designed coiled coil-based switch regulates the microtubule motor kinesin-1. Nature Chemical Biology. 20(7). 916–923. 8 indexed citations
3.
Mantell, Judith, Ufuk Borucu, Alastair W. Poole, et al.. (2024). CryoET reveals actin filaments within platelet microtubules. Nature Communications. 15(1). 5967–5967. 1 indexed citations
4.
Rhys, Guto G., Jessica A. Cross, William Dawson, et al.. (2022). De novo designed peptides for cellular delivery and subcellular localisation. Nature Chemical Biology. 18(9). 999–1004. 24 indexed citations
5.
Cross, Jessica A., Derek N. Woolfson, & Mark P. Dodding. (2021). Kinesin-1 captures RNA cargo in its adaptable coils. Genes & Development. 35(13-14). 937–939. 9 indexed citations
6.
Cross, Jessica A., et al.. (2021). Fragment-linking peptide design yields a high-affinity ligand for microtubule-based transport. Cell chemical biology. 28(9). 1347–1355.e5. 8 indexed citations
7.
Mantell, Judith, et al.. (2020). In situ cryo-electron tomography reveals filamentous actin within the microtubule lumen. The Journal of Cell Biology. 219(9). 25 indexed citations
8.
Cross, Jessica A. & Mark P. Dodding. (2019). Motor–cargo adaptors at the organelle–cytoskeleton interface. Current Opinion in Cell Biology. 59. 16–23. 50 indexed citations
9.
Yip, Yan Y., Karin Pfisterer, Anneri Sanger, et al.. (2017). A small-molecule activator of kinesin-1 drives remodeling of the microtubule network. Proceedings of the National Academy of Sciences. 114(52). 13738–13743. 46 indexed citations
10.
11.
Twelvetrees, Alison E., S. Pernigo, Anneri Sanger, et al.. (2016). The Dynamic Localization of Cytoplasmic Dynein in Neurons Is Driven by Kinesin-1. Neuron. 90(5). 1000–1015. 81 indexed citations
12.
Pernigo, S., et al.. (2013). Structural Basis for Kinesin-1:Cargo Recognition. Science. 340(6130). 356–359. 81 indexed citations
13.
Handa, Yutaka, Charlotte H. Durkin, Mark P. Dodding, & Michael Way. (2013). Vaccinia Virus F11 Promotes Viral Spread by Acting as a PDZ-Containing Scaffolding Protein to Bind Myosin-9A and Inhibit RhoA Signaling. Cell Host & Microbe. 14(1). 51–62. 40 indexed citations
14.
Dodding, Mark P. & Michael Way. (2011). Coupling viruses to dynein and kinesin‐1. The EMBO Journal. 30(17). 3527–3539. 177 indexed citations
15.
Dodding, Mark P., Richard Mitter, Ashley C. Humphries, & Michael Way. (2011). A kinesin‐1 binding motif in vaccinia virus that is widespread throughout the human genome. The EMBO Journal. 30(22). 4523–4538. 77 indexed citations
16.
Dodding, Mark P., et al.. (2009). An E2-F12 complex is required for IEV morphogenesis during vaccinia infection.. Cellular Microbiology. 15 indexed citations
17.
Cordeiro, João V., Susana Guerra, Yoshiki Arakawa, et al.. (2009). F11-Mediated Inhibition of RhoA Signalling Enhances the Spread of Vaccinia Virus In Vitro and In Vivo in an Intranasal Mouse Model of Infection. PLoS ONE. 4(12). e8506–e8506. 53 indexed citations
18.
Dodding, Mark P., Timothy P. Newsome, Lucy Collinson, Ceri Edwards, & Michael Way. (2009). An E2-F12 complex is required for intracellular enveloped virus morphogenesis during vaccinia infection. Cellular Microbiology. 11(5). 808–824. 37 indexed citations
19.
Mortuza, Gulnahar B., Mark P. Dodding, David C. Goldstone, et al.. (2008). Structure of B-MLV Capsid Amino-terminal Domain Reveals Key Features of Viral Tropism, Gag Assembly and Core Formation. Journal of Molecular Biology. 376(5). 1493–1508. 47 indexed citations
20.
Campbell, Edward M., Mark P. Dodding, Melvyn W. Yap, et al.. (2007). TRIM5α Cytoplasmic Bodies Are Highly Dynamic Structures. Molecular Biology of the Cell. 18(6). 2102–2111. 56 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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