Jon M. Askham

1.1k total citations
22 papers, 982 citations indexed

About

Jon M. Askham is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Jon M. Askham has authored 22 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Cell Biology and 6 papers in Oncology. Recurrent topics in Jon M. Askham's work include Microtubule and mitosis dynamics (11 papers), Wnt/β-catenin signaling in development and cancer (7 papers) and Ubiquitin and proteasome pathways (6 papers). Jon M. Askham is often cited by papers focused on Microtubule and mitosis dynamics (11 papers), Wnt/β-catenin signaling in development and cancer (7 papers) and Ubiquitin and proteasome pathways (6 papers). Jon M. Askham collaborates with scholars based in United Kingdom, Germany and Sweden. Jon M. Askham's co-authors include Ewan E. Morrison, D M Meredith, Holly V. Goodson, Kevin T. Vaughan, A.F. Markham, Alexander F. Markham, Margaret A. Knowles, Fiona M. Platt, Philip Chambers and Chris Taylor and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Oncogene.

In The Last Decade

Jon M. Askham

22 papers receiving 973 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jon M. Askham United Kingdom 16 788 571 138 108 79 22 982
Taryn A. Schiripo United States 7 984 1.2× 727 1.3× 249 1.8× 55 0.5× 25 0.3× 7 1.4k
Wouter Bossuyt United States 8 850 1.1× 1.2k 2.0× 156 1.1× 28 0.3× 46 0.6× 10 1.5k
Jung-Soon Mo South Korea 9 769 1.0× 746 1.3× 161 1.2× 22 0.2× 59 0.7× 11 1.2k
Gavin White United Kingdom 16 477 0.6× 233 0.4× 191 1.4× 50 0.5× 36 0.5× 23 786
Daniel Mahony United States 9 753 1.0× 174 0.3× 271 2.0× 79 0.7× 27 0.3× 11 902
Suzette Farber-Katz United States 7 434 0.6× 358 0.6× 56 0.4× 37 0.3× 62 0.8× 7 698
Robert Elez Germany 11 538 0.7× 411 0.7× 363 2.6× 58 0.5× 30 0.4× 12 858
Tadahiro Nagaoka United States 17 773 1.0× 224 0.4× 301 2.2× 34 0.3× 55 0.7× 31 972
Vincent Dammai United States 12 713 0.9× 208 0.4× 47 0.3× 70 0.6× 18 0.2× 15 805
Chanan Rubin Israel 9 894 1.1× 187 0.3× 265 1.9× 26 0.2× 41 0.5× 9 1.1k

Countries citing papers authored by Jon M. Askham

Since Specialization
Citations

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

Fields of papers citing papers by Jon M. Askham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon M. Askham. 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 Jon M. Askham. The network helps show where Jon M. Askham may publish in the future.

Co-authorship network of co-authors of Jon M. Askham

This figure shows the co-authorship network connecting the top 25 collaborators of Jon M. Askham. A scholar is included among the top collaborators of Jon M. Askham 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 Jon M. Askham. Jon M. Askham 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.
Odell, Adam F., et al.. (2013). A Novel p53 Mutant Found in Iatrogenic Urothelial Cancers Is Dysfunctional and Can Be Rescued by a Second-site Global Suppressor Mutation. Journal of Biological Chemistry. 288(23). 16704–16714. 10 indexed citations
2.
Ross, Rebecca L., Jon M. Askham, & Margaret A. Knowles. (2012). PIK3CA mutation spectrum in urothelial carcinoma reflects cell context-dependent signaling and phenotypic outputs. Oncogene. 32(6). 768–776. 34 indexed citations
3.
Brüning‐Richardson, Anke, et al.. (2011). EB1 Is Required for Spindle Symmetry in Mammalian Mitosis. PLoS ONE. 6(12). e28884–e28884. 18 indexed citations
4.
Odell, Adam F., Jon M. Askham, Catherine Whibley, & Monica Hollstein. (2010). How to become immortal: let MEFs count the ways. Aging. 2(3). 160–165. 34 indexed citations
5.
Askham, Jon M., Fiona M. Platt, Philip Chambers, et al.. (2009). AKT1 mutations in bladder cancer: identification of a novel oncogenic mutation that can co-operate with E17K. Oncogene. 29(1). 150–155. 89 indexed citations
6.
Platt, Fiona M., et al.. (2008). Bladder tumour-derived somatic TSC1 missense mutations cause loss of function via distinct mechanisms. Human Molecular Genetics. 17(13). 2006–2017. 47 indexed citations
7.
Askham, Jon M., et al.. (2007). MCAK associates with EB1. Oncogene. 27(17). 2494–2500. 53 indexed citations
8.
Askham, Jon M., et al.. (2006). Examination of actin and microtubule dependent APC localisations in living mammalian cells. BMC Cell Biology. 7(1). 3–3. 39 indexed citations
9.
Askham, Jon M., et al.. (2006). Adenomatous polyposis coli localization is both cell type and cell context dependent. Cell Motility and the Cytoskeleton. 63(8). 483–492. 19 indexed citations
10.
Bransfield, Kieran, et al.. (2005). Phenotypic changes associated with DYNACTIN‐2 (DCTN2) over expression characterise SJSA‐1 osteosarcoma cells. Molecular Carcinogenesis. 45(3). 157–163. 10 indexed citations
11.
Lee, Tracy, et al.. (2005). Trapping of normal EB1 ligands in aggresomes formed by an EB1 deletion mutant.. BMC Cell Biology. 6(1). 17–17. 7 indexed citations
12.
Grabsch, Heike I., Jon M. Askham, Ewan E. Morrison, et al.. (2003). Expression of BUB1 protein in gastric cancer correlates with the histological subtype, but not with DNA ploidy or microsatellite instability. The Journal of Pathology. 202(2). 208–214. 30 indexed citations
13.
Askham, Jon M., Kevin T. Vaughan, Holly V. Goodson, & Ewan E. Morrison. (2002). Evidence That an Interaction between EB1 and p150 Glued Is Required for the Formation and Maintenance of a Radial Microtubule Array Anchored at the Centrosome. Molecular Biology of the Cell. 13(10). 3627–3645. 161 indexed citations
14.
Morrison, Ewan E., et al.. (2002). EB1 identifies sites of microtubule polymerisation during neurite development. Molecular Brain Research. 98(1-2). 145–152. 63 indexed citations
15.
Morrison, Ewan E. & Jon M. Askham. (2001). EB1 immunofluorescence reveals an increase in growing astral microtubule length and number during anaphase in NRK-52E cells. European Journal of Cell Biology. 80(12). 749–753. 15 indexed citations
16.
Clissold, Patricia M., Jon M. Askham, Ewan E. Morrison, et al.. (2000). Truncated adenomatous polyposis coli (APC) tumour suppressor protein can undergo tyrosine phosphorylation. European Journal of Cancer. 36(4). 525–532. 3 indexed citations
17.
Askham, Jon M., et al.. (2000). Regulation and function of the interaction between the APC tumour suppressor protein and EB1. Oncogene. 19(15). 1950–1958. 112 indexed citations
18.
19.
Morrison, Ewan E., Jon M. Askham, Patricia M. Clissold, Alexander F. Markham, & D M Meredith. (1997). The cellular distribution of the adenomatous polyposis coli tumour suppressor protein in neuroblastoma cells is regulated by microtubule dynamics. Neuroscience. 81(2). 553–563. 23 indexed citations
20.
Morrison, Ewan E., Jon M. Askham, Patricia M. Clissold, Alexander F. Markham, & D M Meredith. (1997). Expression of β-catenin and the adenomatous polyposis coli tumour suppressor protein in mouse neocortical cells in vitro. Neuroscience Letters. 235(3). 129–132. 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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