Kyle M. Miller

9.6k total citations · 4 hit papers
74 papers, 6.2k citations indexed

About

Kyle M. Miller is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Kyle M. Miller has authored 74 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 12 papers in Oncology and 11 papers in Physiology. Recurrent topics in Kyle M. Miller's work include DNA Repair Mechanisms (44 papers), Genomics and Chromatin Dynamics (32 papers) and CRISPR and Genetic Engineering (17 papers). Kyle M. Miller is often cited by papers focused on DNA Repair Mechanisms (44 papers), Genomics and Chromatin Dynamics (32 papers) and CRISPR and Genetic Engineering (17 papers). Kyle M. Miller collaborates with scholars based in United States, United Kingdom and France. Kyle M. Miller's co-authors include Stephen P. Jackson, Fade Gong, Julia Promisel Cooper, Gaëlle Legube, Jorrit Tjeertes, Sophie E. Polo, Julia Coates, Sébastien Britton, Blerta Xhemalçe and Eros Lazzerini Denchi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Kyle M. Miller

71 papers receiving 6.1k citations

Hit Papers

Small-molecule–induced DNA damage identifies alternative ... 2010 2026 2015 2020 2012 2015 2010 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyle M. Miller United States 38 5.7k 1.1k 707 479 479 74 6.2k
Madalena Tarsounas United Kingdom 34 4.5k 0.8× 1.3k 1.2× 955 1.4× 767 1.6× 563 1.2× 48 5.4k
Eros Lazzerini Denchi United States 29 4.7k 0.8× 1.5k 1.4× 1.7k 2.4× 568 1.2× 416 0.9× 45 5.7k
Eric A. Hendrickson United States 44 4.6k 0.8× 1.5k 1.4× 650 0.9× 735 1.5× 453 0.9× 105 5.4k
Doug W. Chan United States 28 4.2k 0.7× 1.5k 1.3× 459 0.6× 898 1.9× 214 0.4× 39 4.8k
John P. Murnane United States 34 2.6k 0.5× 549 0.5× 1.4k 2.0× 559 1.2× 623 1.3× 82 3.5k
Sang Eun Lee United States 31 5.0k 0.9× 1.0k 0.9× 293 0.4× 811 1.7× 746 1.6× 56 5.3k
Haijuan Yang United States 13 4.5k 0.8× 692 0.6× 245 0.3× 444 0.9× 221 0.5× 20 5.1k
Xiaobing Shi United States 48 7.1k 1.3× 868 0.8× 177 0.3× 630 1.3× 726 1.5× 104 8.2k
Michael M. Seidman United States 48 6.0k 1.1× 998 0.9× 313 0.4× 1.2k 2.5× 680 1.4× 147 6.8k
Michal Zimmermann United States 16 2.7k 0.5× 738 0.7× 352 0.5× 287 0.6× 174 0.4× 29 3.0k

Countries citing papers authored by Kyle M. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Kyle M. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle M. Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle M. Miller. A scholar is included among the top collaborators of Kyle M. Miller 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 Kyle M. Miller. Kyle M. Miller 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.
Nicolaidou, Vicky, et al.. (2024). Biochemical Characterisation of the Short Isoform of Histone N-Terminal Acetyltransferase NAA40. Biomolecules. 14(9). 1100–1100. 2 indexed citations
2.
Pegoraro, Gianluca, et al.. (2024). Identification of modulators of the ALT pathway through a native FISH-based optical screen. Cell Reports. 44(1). 115114–115114. 4 indexed citations
3.
Baddoo, Melody, et al.. (2023). A novel role of TRIM28 B box domain in L1 retrotransposition and ORF2p-mediated cDNA synthesis. Nucleic Acids Research. 51(9). 4429–4450. 3 indexed citations
4.
Lee, Seo Yun, et al.. (2023). Clinical and Mechanistic Implications of R-Loops in Human Leukemias. International Journal of Molecular Sciences. 24(6). 5966–5966. 8 indexed citations
5.
Lee, Doo‐Hyung, et al.. (2022). ZMYM2 restricts 53BP1 at DNA double-strand breaks to favor BRCA1 loading and homologous recombination. Nucleic Acids Research. 50(7). 3922–3943. 17 indexed citations
6.
Lee, Seo Yun, Jae Jin Kim, & Kyle M. Miller. (2021). Bromodomain proteins: protectors against endogenous DNA damage and facilitators of genome integrity. Experimental & Molecular Medicine. 53(9). 1268–1277. 12 indexed citations
7.
Sanchez, Anthony, Fade Gong, David Corujo, et al.. (2021). Poly(ADP-ribose) binding and macroH2A mediate recruitment and functions of KDM5A at DNA lesions. The Journal of Cell Biology. 220(7). 26 indexed citations
8.
Sanchez, Anthony, et al.. (2021). Making Connections: Integrative Signaling Mechanisms Coordinate DNA Break Repair in Chromatin. Frontiers in Genetics. 12. 747734–747734. 15 indexed citations
9.
Kim, Jae Jin, Seo Yun Lee, Ji Hye Choi, et al.. (2020). PCAF-Mediated Histone Acetylation Promotes Replication Fork Degradation by MRE11 and EXO1 in BRCA-Deficient Cells. Molecular Cell. 80(2). 327–344.e8. 52 indexed citations
10.
Denchi, Eros Lazzerini, et al.. (2018). Caught with One's Zinc Fingers in the Genome Integrity Cookie Jar. Trends in Genetics. 34(4). 313–325. 55 indexed citations
11.
Makharashvili, Nodar, Qiong Fu, Xuemei Wen, et al.. (2018). Sae2/CtIP prevents R-loop accumulation in eukaryotic cells. eLife. 7. 59 indexed citations
12.
Zacharioudakis, Emmanouil, P. K. Agarwal, Nathan S. Abell, et al.. (2017). Chromatin Regulates Genome Targeting with Cisplatin. Angewandte Chemie International Edition. 56(23). 6483–6487. 24 indexed citations
13.
Zacharioudakis, Emmanouil, P. K. Agarwal, Nathan S. Abell, et al.. (2017). Chromatin Regulates Genome Targeting with Cisplatin. Angewandte Chemie. 129(23). 6583–6587. 1 indexed citations
14.
Gong, Fade, Li-Ya Chiu, & Kyle M. Miller. (2016). Acetylation Reader Proteins: Linking Acetylation Signaling to Genome Maintenance and Cancer. PLoS Genetics. 12(9). e1006272–e1006272. 92 indexed citations
15.
Jain, Devanshi, et al.. (2010). HAATI survivors replace canonical telomeres with blocks of generic heterochromatin. Nature. 467(7312). 223–227. 74 indexed citations
16.
Miller, Kyle M.. (2010). Advances in understanding genome maintenance. Genome Biology. 11(4). 301–301. 1 indexed citations
17.
Miller, Kyle M., Jorrit Tjeertes, Julia Coates, et al.. (2010). Human HDAC1 and HDAC2 function in the DNA-damage response to promote DNA nonhomologous end-joining. Nature Structural & Molecular Biology. 17(9). 1144–1151. 513 indexed citations breakdown →
18.
Xhemalçe, Blerta, Kyle M. Miller, Robert Driscoll, et al.. (2007). Regulation of Histone H3 Lysine 56 Acetylation in Schizosaccharomyces pombe. Journal of Biological Chemistry. 282(20). 15040–15047. 65 indexed citations
19.
Miller, Kyle M., Nancy L. Maas, & David P. Toczyski. (2006). Taking It Off: Regulation of H3 K56 Acetylation by Hst3 and Hst4. Cell Cycle. 5(22). 2561–2565. 28 indexed citations
20.
Miller, Kyle M., et al.. (2003). Telomere Maintenance in Fission Yeast Requires an Est1 Ortholog. Current Biology. 13(7). 575–580. 63 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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