Matthew K. Summers

2.1k total citations
39 papers, 1.6k citations indexed

About

Matthew K. Summers is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Matthew K. Summers has authored 39 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 27 papers in Cell Biology and 14 papers in Oncology. Recurrent topics in Matthew K. Summers's work include Microtubule and mitosis dynamics (27 papers), Ubiquitin and proteasome pathways (22 papers) and Cancer-related Molecular Pathways (11 papers). Matthew K. Summers is often cited by papers focused on Microtubule and mitosis dynamics (27 papers), Ubiquitin and proteasome pathways (22 papers) and Cancer-related Molecular Pathways (11 papers). Matthew K. Summers collaborates with scholars based in United States, India and Greece. Matthew K. Summers's co-authors include Peter K. Jackson, Matthew H. Bailey, Thanos D. Halazonetis, Monica Venere, John Bothos, Amy Burrows, Julie J. Miller, Morgan S. Schrock, Kiran Mukhyala and Borlan Pan and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Matthew K. Summers

38 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew K. Summers United States 22 1.3k 711 450 149 119 39 1.6k
Vincenzo D’Angiolella United Kingdom 20 1.5k 1.1× 476 0.7× 557 1.2× 202 1.4× 140 1.2× 32 1.7k
Holger Bastians Germany 24 1.5k 1.2× 911 1.3× 679 1.5× 191 1.3× 60 0.5× 47 1.9k
Apolinar Maya‐Mendoza Denmark 23 1.8k 1.4× 331 0.5× 631 1.4× 282 1.9× 134 1.1× 45 2.2k
Liviu Malureanu United States 18 1.9k 1.5× 1.0k 1.4× 497 1.1× 214 1.4× 79 0.7× 21 2.3k
Françoise Lacroix France 14 1.4k 1.1× 978 1.4× 562 1.2× 153 1.0× 46 0.4× 20 1.7k
Christopher C. Williams United States 11 1.5k 1.1× 382 0.5× 355 0.8× 103 0.7× 112 0.9× 15 1.8k
Laura O’Regan United Kingdom 14 953 0.7× 479 0.7× 275 0.6× 110 0.7× 36 0.3× 21 1.2k
Taesaeng Choi South Korea 12 1.0k 0.8× 614 0.9× 486 1.1× 127 0.9× 63 0.5× 23 1.6k
David B. Whyte United States 11 1.3k 1.0× 224 0.3× 532 1.2× 186 1.2× 52 0.4× 15 1.8k
Vyacheslav Akimov Denmark 17 1.2k 0.9× 247 0.3× 303 0.7× 170 1.1× 211 1.8× 34 1.6k

Countries citing papers authored by Matthew K. Summers

Since Specialization
Citations

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

Fields of papers citing papers by Matthew K. Summers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew K. Summers. 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 Matthew K. Summers. The network helps show where Matthew K. Summers may publish in the future.

Co-authorship network of co-authors of Matthew K. Summers

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew K. Summers. A scholar is included among the top collaborators of Matthew K. Summers 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 Matthew K. Summers. Matthew K. Summers 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.
Schrock, Morgan S., Anna Bratasz, Margaret A. Miller, et al.. (2023). Establishment and characterization of two novel patient‐derived lines from canine high‐grade glioma. Veterinary and Comparative Oncology. 21(3). 492–502. 1 indexed citations
2.
Schrock, Morgan S., et al.. (2022). MKLP2 functions in early mitosis to ensure proper chromosome congression. Journal of Cell Science. 135(12). 8 indexed citations
3.
Singh, Mayank, et al.. (2021). The deubiquitinating enzyme USP37 enhances CHK1 activity to promote the cellular response to replication stress. Journal of Biological Chemistry. 297(4). 101184–101184. 7 indexed citations
4.
Schrock, Morgan S., Darcie D. Seachrist, Stefanie Avril, et al.. (2020). LIN9 and NEK2 Are Core Regulators of Mitotic Fidelity That Can Be Therapeutically Targeted to Overcome Taxane Resistance. Cancer Research. 80(8). 1693–1706. 29 indexed citations
5.
Schrock, Morgan S., et al.. (2020). The small molecule drug CBL0137 increases the level of DNA damage and the efficacy of radiotherapy for glioblastoma. Cancer Letters. 499. 232–242. 12 indexed citations
6.
7.
Schrock, Morgan S., et al.. (2020). APC/C ubiquitin ligase: Functions and mechanisms in tumorigenesis. Seminars in Cancer Biology. 67(Pt 2). 80–91. 75 indexed citations
8.
9.
Senese, Silvia, Yu‐Chen Lo, Dian Huang, et al.. (2014). Chemical dissection of the cell cycle: probes for cell biology and anti-cancer drug development. Cell Death and Disease. 5(10). e1462–e1462. 53 indexed citations
10.
Burrows, Amy, et al.. (2013). Coordinated regulation of p31Cometand Mad2 expression is required for cellular proliferation. Cell Cycle. 12(24). 3824–3832. 11 indexed citations
11.
Burrows, Amy, et al.. (2012). Skp1-Cul1-F-box Ubiquitin Ligase (SCFβTrCP)-mediated Destruction of the Ubiquitin-specific Protease USP37 during G2-phase Promotes Mitotic Entry. Journal of Biological Chemistry. 287(46). 39021–39029. 36 indexed citations
12.
Torres, Jorge Z., Matthew K. Summers, David Peterson, et al.. (2011). The STARD9/Kif16a Kinesin Associates with Mitotic Microtubules and Regulates Spindle Pole Assembly. Cell. 147(6). 1309–1323. 62 indexed citations
13.
Huang, Xiaodong, Matthew K. Summers, Victoria C. Pham, et al.. (2011). Deubiquitinase USP37 Is Activated by CDK2 to Antagonize APCCDH1 and Promote S Phase Entry. Molecular Cell. 42(4). 511–523. 122 indexed citations
14.
Summers, Matthew K. & Peter K. Jackson. (2009). Biochemical Analysis of the Anaphase Promoting Complex: Activities of E2 Enzymes and Substrate Competitive (Pseudosubstrate) Inhibitors. Methods in molecular biology. 545. 313–330. 1 indexed citations
15.
Summers, Matthew K., Borlan Pan, Kiran Mukhyala, & Peter K. Jackson. (2008). The Unique N Terminus of the UbcH10 E2 Enzyme Controls the Threshold for APC Activation and Enhances Checkpoint Regulation of the APC. Molecular Cell. 31(4). 544–556. 95 indexed citations
16.
Bailey, Matthew H., Joseph R. Pomerening, Matthew K. Summers, et al.. (2007). Emi2 at the Crossroads: Where CSF Meets MPF. Cell Cycle. 6(6). 732–738. 14 indexed citations
17.
Tung, Jeffrey J., Matthew H. Bailey, Kenneth Ban, et al.. (2005). A role for the anaphase-promoting complex inhibitor Emi2/XErp1, a homolog of early mitotic inhibitor 1, in cytostatic factor arrest of Xenopus eggs. Proceedings of the National Academy of Sciences. 102(12). 4318–4323. 135 indexed citations
18.
Summers, Matthew K., John Bothos, & Thanos D. Halazonetis. (2005). The CHFR mitotic checkpoint protein delays cell cycle progression by excluding Cyclin B1 from the nucleus. Oncogene. 24(16). 2589–2598. 49 indexed citations
19.
Bothos, John, Matthew K. Summers, Monica Venere, Daniel M. Scolnick, & Thanos D. Halazonetis. (2003). The Chfr mitotic checkpoint protein functions with Ubc13-Mms2 to form Lys63-linked polyubiquitin chains. Oncogene. 22(46). 7101–7107. 80 indexed citations
20.
Routhier, Eric, Timothy C. Burn, Ilgar Abbaszade, et al.. (2001). Human BIN3 Complements the F-actin Localization Defects Caused by Loss of Hob3p, the Fission Yeast Homolog of Rvs161p. Journal of Biological Chemistry. 276(24). 21670–21677. 23 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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