Kirk J. McManus

3.4k total citations
77 papers, 2.3k citations indexed

About

Kirk J. McManus is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Kirk J. McManus has authored 77 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 18 papers in Oncology and 16 papers in Cancer Research. Recurrent topics in Kirk J. McManus's work include Genomics and Chromatin Dynamics (23 papers), DNA Repair Mechanisms (21 papers) and Ubiquitin and proteasome pathways (14 papers). Kirk J. McManus is often cited by papers focused on Genomics and Chromatin Dynamics (23 papers), DNA Repair Mechanisms (21 papers) and Ubiquitin and proteasome pathways (14 papers). Kirk J. McManus collaborates with scholars based in Canada, United States and Germany. Kirk J. McManus's co-authors include Michael J. Hendzel, Philip Hieter, Zelda Lichtensztejn, Irene Barrett, Babu V. Sajesh, D. Alan Underhill, Vincent L. Biron, Karen Wing Yee Yuen, Mark W. Nachtigal and Dong Shen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Kirk J. McManus

73 papers receiving 2.3k citations

Peers

Kirk J. McManus

ONCOL

GENET

Eva Grönroos United Kingdom

Andrew D. Sharrocks United Kingdom

Andrea Cocito Italy

Christopher Winter United States

Stefano Campaner Italy

Ryosuke Tsunematsu Japan

Bruce D. Cuevas United States

Apolinar Maya‐Mendoza Denmark

Brenda O’Connell United States

Anthony C. Liang United States

Eva Grönroos United Kingdom

Kirk J. McManus

1.5k ×0.8

571 ×1.2

ONCOL

466 ×1.0

393 ×1.1

177 ×0.8

GENET

Citations per year, relative to Kirk J. McManus Kirk J. McManus (= 1×) peers Eva Grönroos

Countries citing papers authored by Kirk J. McManus

Since Specialization

Citations

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

Fields of papers citing papers by Kirk J. McManus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kirk J. McManus. 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 Kirk J. McManus. The network helps show where Kirk J. McManus may publish in the future.

Co-authorship network of co-authors of Kirk J. McManus

This figure shows the co-authorship network connecting the top 25 collaborators of Kirk J. McManus. A scholar is included among the top collaborators of Kirk J. McManus 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 Kirk J. McManus. Kirk J. McManus 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

Lichtensztejn, Zelda, et al.. (2024). Loss of EMI1 compromises chromosome stability and is associated with cellular transformation in colonic epithelial cell contexts. British Journal of Cancer. 131(9). 1516–1528.

Casalino, Selina, Sharon Bruce, Alon D. Altman, et al.. (2023). Exploring the role of a multidisciplinary hereditary gynecologic oncology clinic in epithelial ovarian cancer risk‐reducing surgical decision‐making practices: A mixed‐methods study. Journal of Genetic Counseling. 32(3). 728–743. 1 indexed citations

Liu, Qian, Shujun Huang, Danielle Desautels, et al.. (2023). Development and validation of a prognostic 15-gene signature for stratifying HER2+/ER+ breast cancer. Computational and Structural Biotechnology Journal. 21. 2940–2949. 6 indexed citations

McManus, Kirk J., et al.. (2023). Aberrant HMGA2 Expression Sustains Genome Instability That Promotes Metastasis and Therapeutic Resistance in Colorectal Cancer. Cancers. 15(6). 1735–1735. 7 indexed citations

Nickel, Barbara E., et al.. (2023). Navigating the Blood–Brain Barrier: Challenges and Therapeutic Strategies in Breast Cancer Brain Metastases. International Journal of Molecular Sciences. 24(15). 12034–12034. 8 indexed citations

McManus, Kirk J., et al.. (2022). Aberrant SKP1 Expression: Diverse Mechanisms Impacting Genome and Chromosome Stability. Frontiers in Cell and Developmental Biology. 10. 859582–859582. 12 indexed citations

Hugh, Judith, Gilbert Bigras, Xiuying Hu, et al.. (2021). DREAM, a possible answer to the estrogen paradox of the Women's Health Initiative Trial. Heliyon. 8(1). e08666–e08666. 2 indexed citations

Hölzer, Martin, Martin Ungelenk, Jürgen Thomale, et al.. (2021). RUNX3 Transcript Variants Have Distinct Roles in Ovarian Carcinoma and Differently Influence Platinum Sensitivity and Angiogenesis. Cancers. 13(3). 476–476. 6 indexed citations

McManus, Kirk J., et al.. (2021). Exploring Candidate Human Synthetic Lethal Interactions Through siRNA and Quantitative Imaging-Based Approaches. Methods in molecular biology. 2381. 151–173.

10.

Lichtensztejn, Zelda, et al.. (2020). Reduced RBX1 expression induces chromosome instability and promotes cellular transformation in high-grade serous ovarian cancer precursor cells. Cancer Letters. 500. 194–207. 19 indexed citations

11.

Nugent, Zoann, et al.. (2018). Characterizing Microsatellite Instability and Chromosome Instability in Interval Colorectal Cancers. Neoplasia. 20(9). 943–950. 22 indexed citations

12.

McManus, Kirk J., et al.. (2015). A Novel Multiplexed, Image-Based Approach to Detect Phenotypes That Underlie Chromosome Instability in Human Cells. PLoS ONE. 10(4). e0123200–e0123200. 26 indexed citations

13.

Yan, Yi, Charlton Cooper, Mohammad K. Hamedani, et al.. (2015). The steroid receptor RNA activator protein (SRAP) controls cancer cell migration/motility. FEBS Letters. 589(24PartB). 4010–4018. 13 indexed citations

14.

McManus, Kirk J., Melissa M. Adams, Jennifer K. Sims, et al.. (2008). Catalytic Function of the PR-Set7 Histone H4 Lysine 20 Monomethyltransferase Is Essential for Mitotic Entry and Genomic Stability. Journal of Biological Chemistry. 283(28). 19478–19488. 129 indexed citations

15.

McManus, Kirk J. & Michael J. Hendzel. (2005). ATM-dependent DNA Damage-independent Mitotic Phosphorylation of H2AX in Normally Growing Mammalian Cells. Molecular Biology of the Cell. 16(10). 5013–5025. 209 indexed citations

16.

Biron, Vincent L., et al.. (2004). Distinct dynamics and distribution of histone methyl-lysine derivatives in mouse development. Developmental Biology. 276(2). 337–351. 67 indexed citations

17.

Zelinski, Teresa, et al.. (2000). Distinctive Swann Blood Group Genotypes: Molecular Investigations. Vox Sanguinis. 79(4). 215–218. 4 indexed citations

18.

McManus, Kirk J., et al.. (2000). Amino acid substitutions in human erythroid protein band 3 account for the low‐incidence antigens NFLD and BOW. Transfusion. 40(3). 325–329. 5 indexed citations

19.

Zelinski, Teresa, et al.. (1998). A Gly₅₆₅→Als substitution in human erythroid band 3 accounts for the Wu blood group polymorphism. Transfusion. 38(8). 745–748. 10 indexed citations

20.

Reid, Marion E., Kirk J. McManus, & Teresa Zelinski. (1998). Chromosome location of genes encoding human blood groups. Transfusion Medicine Reviews. 12(3). 151–161. 9 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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