M.W. Day

507 total citations
13 papers, 312 citations indexed

About

M.W. Day is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, M.W. Day has authored 13 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Oncology and 3 papers in Cell Biology. Recurrent topics in M.W. Day's work include DNA Repair Mechanisms (10 papers), CRISPR and Genetic Engineering (4 papers) and PARP inhibition in cancer therapy (4 papers). M.W. Day is often cited by papers focused on DNA Repair Mechanisms (10 papers), CRISPR and Genetic Engineering (4 papers) and PARP inhibition in cancer therapy (4 papers). M.W. Day collaborates with scholars based in United Kingdom, United States and Germany. M.W. Day's co-authors include Laurence H. Pearl, Antony W. Oliver, Robert A. Baldock, Felicity Z. Watts, Ross Cloney, Penelope A. Jeggo, Mathieu Rappas, Nicolas Bigot, Benedikt M. Kessler and Manuel Stucki and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Molecular Cell.

In The Last Decade

M.W. Day

10 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.W. Day United Kingdom 9 268 114 60 35 34 13 312
Sylvie van Twest Australia 9 293 1.1× 57 0.5× 53 0.9× 50 1.4× 17 0.5× 11 316
Caroline Davis United States 7 229 0.9× 52 0.5× 50 0.8× 38 1.1× 38 1.1× 8 259
Kyle A. Nordquist United States 4 308 1.1× 122 1.1× 44 0.7× 44 1.3× 50 1.5× 4 341
A.G. Murachelli Netherlands 3 293 1.1× 70 0.6× 76 1.3× 35 1.0× 40 1.2× 4 337
Shaokai Ning China 6 335 1.3× 146 1.3× 62 1.0× 38 1.1× 12 0.4× 8 353
Géraldine Buhagiar‐Labarchède France 10 255 1.0× 61 0.5× 64 1.1× 39 1.1× 32 0.9× 15 295
Debjit Khan United States 9 351 1.3× 94 0.8× 37 0.6× 68 1.9× 17 0.5× 21 398
Imke K. Mandemaker Netherlands 10 321 1.2× 114 1.0× 29 0.5× 17 0.5× 26 0.8× 11 354
Valéria Szukacsov Hungary 6 304 1.1× 72 0.6× 34 0.6× 49 1.4× 27 0.8× 7 343
Emilie Renaud France 8 242 0.9× 58 0.5× 43 0.7× 40 1.1× 12 0.4× 9 273

Countries citing papers authored by M.W. Day

Since Specialization
Citations

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

Fields of papers citing papers by M.W. Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.W. Day

This figure shows the co-authorship network connecting the top 25 collaborators of M.W. Day. A scholar is included among the top collaborators of M.W. Day 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 M.W. Day. M.W. Day is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Day, M.W., Yuichiro Saito, Masato T. Kanemaki, et al.. (2025). The human RIF1-Long isoform interacts with BRCA1 to promote recombinational fork repair under DNA replication stress. Nature Communications. 16(1). 5820–5820.
2.
Herbert, Alex, et al.. (2025). Centromere protection requires strict mitotic inactivation of the Bloom syndrome helicase complex. Nature Communications. 16(1). 7832–7832.
3.
Nieminuszczy, Jadwiga, Jörg Mansfeld, Laurence H. Pearl, et al.. (2025). The CIP2A-TOPBP1 axis facilitates mitotic DNA repair via MiDAS and MMEJ. Nature Communications. 16(1). 10623–10623.
4.
Day, M.W., Markus Räschle, Farnusch Kaschani, et al.. (2024). TopBP1 utilises a bipartite GINS binding mode to support genome replication. Nature Communications. 15(1). 1797–1797. 4 indexed citations
5.
Day, M.W., Antony W. Oliver, & Laurence H. Pearl. (2022). Structure of the human RAD17–RFC clamp loader and 9–1–1 checkpoint clamp bound to a dsDNA–ssDNA junction. Nucleic Acids Research. 50(14). 8279–8289. 19 indexed citations
6.
Day, M.W., Antony W. Oliver, & Laurence H. Pearl. (2021). Phosphorylation-dependent assembly of DNA damage response systems and the central roles of TOPBP1. DNA repair. 108. 103232–103232. 21 indexed citations
7.
Day, M.W., et al.. (2021). Structural basis for recruitment of the CHK1 DNA damage kinase by the CLASPIN scaffold protein. Structure. 29(6). 531–539.e3. 9 indexed citations
8.
9.
Bigot, Nicolas, M.W. Day, Robert A. Baldock, et al.. (2019). Phosphorylation-mediated interactions with TOPBP1 couple 53BP1 and 9-1-1 to control the G1 DNA damage checkpoint. eLife. 8. 40 indexed citations
10.
Jones, Samuel E., Mara De Marco Zompit, M.W. Day, et al.. (2019). MDC1 Interacts with TOPBP1 to Maintain Chromosomal Stability during Mitosis. Molecular Cell. 74(3). 571–583.e8. 84 indexed citations
11.
12.
Baldock, Robert A., M.W. Day, Ross Cloney, et al.. (2015). ATM Localization and Heterochromatin Repair Depend on Direct Interaction of the 53BP1-BRCT2 Domain with γH2AX. Cell Reports. 13(10). 2081–2089. 59 indexed citations
13.
Qu, Meng, Mathieu Rappas, Valérie Garcia, et al.. (2013). Phosphorylation-Dependent Assembly and Coordination of the DNA Damage Checkpoint Apparatus by Rad4TopBP1. Molecular Cell. 51(6). 723–736. 22 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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