James G. Wakefield

1.5k total citations
35 papers, 1.2k citations indexed

About

James G. Wakefield is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, James G. Wakefield has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 28 papers in Cell Biology and 5 papers in Plant Science. Recurrent topics in James G. Wakefield's work include Microtubule and mitosis dynamics (28 papers), Genomics and Chromatin Dynamics (13 papers) and Epigenetics and DNA Methylation (6 papers). James G. Wakefield is often cited by papers focused on Microtubule and mitosis dynamics (28 papers), Genomics and Chromatin Dynamics (13 papers) and Epigenetics and DNA Methylation (6 papers). James G. Wakefield collaborates with scholars based in United Kingdom, Italy and United States. James G. Wakefield's co-authors include Jordan W. Raff, Maurizio Gatti, Silvia Bonaccorsi, Graham J. Buttrick, Jeremy M. Tavaré, David Stephens, Fanni Gergely, Jeremy Metz, Daniel Hayward and Jun-Yong Huang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Genes & Development.

In The Last Decade

James G. Wakefield

34 papers receiving 1.2k citations

Peers

James G. Wakefield
Е. С. Надеждина Russia
Dileep Varma United States
Maria Patrizia Somma Italy
Janet L. Burton United States
Swadhin Chandra Jana Portugal
Carey J. Fagerstrom United States
Tina H. Lee United States
Stephanie C. Ems-McClung United States
Veronica Krenn Germany
Satoru Mochida Japan
Е. С. Надеждина Russia
James G. Wakefield
Citations per year, relative to James G. Wakefield James G. Wakefield (= 1×) peers Е. С. Надеждина

Countries citing papers authored by James G. Wakefield

Since Specialization
Citations

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

Fields of papers citing papers by James G. Wakefield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James G. Wakefield. 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 James G. Wakefield. The network helps show where James G. Wakefield may publish in the future.

Co-authorship network of co-authors of James G. Wakefield

This figure shows the co-authorship network connecting the top 25 collaborators of James G. Wakefield. A scholar is included among the top collaborators of James G. Wakefield 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 James G. Wakefield. James G. Wakefield 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.
Burns, Marie E., et al.. (2025). The PP2A ‐ B56 Binding Site LxxIxE Contributes to Asp‐Mediated Spindle Pole Stability. Cytoskeleton. 82(12). 804–814.
2.
Lalioti, Vasiliki, et al.. (2025). The Drosophila epidermal growth factor receptor pathway regulates Hedgehog signalling and cytoneme behaviour. Nature Communications. 16(1). 1994–1994. 1 indexed citations
3.
Kronenberger, Thales, Tomáš Deingruber, P. Brear, et al.. (2025). Pseudomonas aeruginosa acyl-CoA dehydrogenases and structure-guided inversion of their substrate specificity. Nature Communications. 16(1). 2334–2334. 3 indexed citations
4.
Bucciarelli, Elisabetta, Veronica Lisi, Simone D’Angeli, et al.. (2020). Intimate functional interactions between TGS1 and the Smn complex revealed by an analysis of the Drosophila eye development. PLoS Genetics. 16(5). e1008815–e1008815. 5 indexed citations
5.
Green, Lucy, et al.. (2020). In vitro reconstitution of branching microtubule nucleation. eLife. 9. 28 indexed citations
6.
O′Flaherty, Linda, Steven D. Shnyder, Patricia A. Cooper, et al.. (2019). Tumor growth suppression using a combination of taxol-based therapy and GSK3 inhibition in non-small cell lung cancer. PLoS ONE. 14(4). e0214610–e0214610. 20 indexed citations
7.
Pellacani, Claudia, Elisabetta Bucciarelli, Fioranna Renda, et al.. (2018). Splicing factors Sf3A2 and Prp31 have direct roles in mitotic chromosome segregation. eLife. 7. 20 indexed citations
8.
Conduit, Paul T., Daniel Hayward, & James G. Wakefield. (2015). Microinjection techniques for studying centrosome function in Drosophila melanogaster syncytial embryos. Methods in cell biology. 129. 229–249. 3 indexed citations
9.
Pellacani, Claudia, Kate J. Heesom, Kacper B. Rogala, et al.. (2015). Misato Controls Mitotic Microtubule Generation by Stabilizing the TCP-1 Tubulin Chaperone Complex. Current Biology. 25(13). 1777–1783. 21 indexed citations
10.
Hayward, Daniel, Jeremy Metz, Claudia Pellacani, & James G. Wakefield. (2014). Synergy between Multiple Microtubule-Generating Pathways Confers Robustness to Centrosome-Driven Mitotic Spindle Formation. Developmental Cell. 28(1). 81–93. 71 indexed citations
11.
Hayward, Daniel & James G. Wakefield. (2014). Chromatin-mediated microtubule nucleation inDrosophilasyncytial embryos. Communicative & Integrative Biology. 7(2). e28512–e28512. 7 indexed citations
12.
Wakefield, James G., et al.. (2011). 50 ways to build a spindle: the complexity of microtubule generation during mitosis. Chromosome Research. 19(3). 321–333. 27 indexed citations
13.
Antrobus, Robin & James G. Wakefield. (2011). Isolation, Identification, and Validation of Microtubule-Associated Proteins from Drosophila Embryos. Methods in molecular biology. 777. 273–291. 2 indexed citations
14.
Wainman, Alan, Daniel W. Buster, Jeremy Metz, et al.. (2009). A new Augmin subunit, Msd1, demonstrates the importance of mitotic spindle-templated microtubule nucleation in the absence of functioning centrosomes. Genes & Development. 23(16). 1876–1881. 45 indexed citations
15.
Meireles, Ana M., Katherine H. Fisher, Ángel Galindo García, et al.. (2008). A Microtubule Interactome: Complexes with Roles in Cell Cycle and Mitosis. PLoS Biology. 6(4). e98–e98. 93 indexed citations
16.
Fisher, Katherine H., Charlotte M. Deane, & James G. Wakefield. (2008). The functional domain grouping of microtubule associated proteins. Communicative & Integrative Biology. 1(1). 47–50. 3 indexed citations
17.
Buttrick, Graham J., et al.. (2008). Akt regulates centrosome migration and spindle orientation in the early Drosophila melanogaster embryo. The Journal of Cell Biology. 180(3). 537–548. 45 indexed citations
18.
Wakefield, James G., Silvia Bonaccorsi, & Maurizio Gatti. (2001). The Drosophila Protein Asp Is Involved in Microtubule Organization during Spindle Formation and Cytokinesis. The Journal of Cell Biology. 153(4). 637–648. 131 indexed citations
19.
Wakefield, James G., Jun-Yong Huang, & Jordan W. Raff. (2000). Centrosomes have a role in regulating the destruction of cyclin B in early Drosophila embryos. Current Biology. 10(21). 1367–1370. 67 indexed citations
20.
Gergely, Fanni, et al.. (2000). D-TACC: a novel centrosomal protein required for normal spindle function in the early Drosophila embryo. The EMBO Journal. 19(2). 241–252. 179 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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