Edward S. Miller

2.1k total citations · 1 hit paper
19 papers, 1.4k citations indexed

About

Edward S. Miller is a scholar working on Molecular Biology, Cell Biology and Sociology and Political Science. According to data from OpenAlex, Edward S. Miller has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Sociology and Political Science. Recurrent topics in Edward S. Miller's work include DNA Repair Mechanisms (7 papers), Microtubule and mitosis dynamics (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Edward S. Miller is often cited by papers focused on DNA Repair Mechanisms (7 papers), Microtubule and mitosis dynamics (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Edward S. Miller collaborates with scholars based in United Kingdom, United States and France. Edward S. Miller's co-authors include Grant S. Stewart, Kelly Townsend, Tatjana Stanković, Philip J. Byrd, A. Malcolm R. Taylor, Daniel Durocher, Nadine Taubenheim, Stephanie Panier, Ceri Oldreive and Jarkko Ylanko and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Edward S. Miller

18 papers receiving 1.4k citations

Hit Papers

The RIDDLE Syndrome Protein Mediates a Ubiquitin-Dependen... 2009 2026 2014 2020 2009 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
Edward S. Miller United Kingdom 12 1.3k 488 155 144 128 19 1.4k
Marie‐Jeanne Pillaire France 20 1.1k 0.9× 367 0.8× 107 0.7× 294 2.0× 112 0.9× 33 1.3k
Wendy L. Devereux United States 13 1.1k 0.9× 450 0.9× 54 0.3× 140 1.0× 76 0.6× 13 1.4k
Maayan Roniger Israel 6 659 0.5× 241 0.5× 144 0.9× 156 1.1× 96 0.8× 6 801
Assaf C. Bester Israel 13 1.2k 0.9× 278 0.6× 181 1.2× 363 2.5× 248 1.9× 16 1.3k
David G. Burbee United States 8 1.1k 0.8× 212 0.4× 185 1.2× 172 1.2× 180 1.4× 9 1.4k
Weibin Wang China 20 949 0.7× 355 0.7× 71 0.5× 193 1.3× 94 0.7× 54 1.2k
Xi Shen United States 18 915 0.7× 231 0.5× 94 0.6× 311 2.2× 113 0.9× 31 1.2k
Galina I. Belova United States 17 845 0.7× 222 0.5× 65 0.4× 172 1.2× 93 0.7× 18 1.1k
Robert A. Zinkel United States 5 951 0.7× 236 0.5× 79 0.5× 225 1.6× 137 1.1× 6 1.0k
Anne Bieth France 14 791 0.6× 244 0.5× 88 0.6× 291 2.0× 149 1.2× 16 954

Countries citing papers authored by Edward S. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Edward S. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward S. Miller

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

All Works

19 of 19 papers shown
1.
Banerjee, Prithviraj, Shangchen Han, Fan Zhang, et al.. (2025). HOT3D: Hand and Object Tracking in 3D from Egocentric Multi-View Videos. 7061–7071. 2 indexed citations
2.
Bishop, Michelle, et al.. (2019). Genomic Education at Scale: The Benefits of Massive Open Online Courses for the Healthcare Workforce. Frontiers in Genetics. 10. 1094–1094. 4 indexed citations
3.
Xie, Dongming, Edward S. Miller, Pamela L. Sharpe, Ethel Noland Jackson, & Quinn Zhu. (2016). Omega‐3 production by fermentation of Yarrowia lipolytica: From fed‐batch to continuous. Biotechnology and Bioengineering. 114(4). 798–812. 51 indexed citations
4.
Higgs, Martin R., John J. Reynolds, Alicja Winczura, et al.. (2015). BOD1L Is Required to Suppress Deleterious Resection of Stressed Replication Forks. Molecular Cell. 59(3). 462–477. 148 indexed citations
5.
Zlatanou, Anastasia, Simone Sabbioneda, Edward S. Miller, et al.. (2015). USP7 is essential for maintaining Rad18 stability and DNA damage tolerance. Oncogene. 35(8). 965–976. 60 indexed citations
6.
Tikoo, Shweta, Mansoor Hussain, Edward S. Miller, et al.. (2013). Ubiquitin‐dependent recruitment of the Bloom Syndrome helicase upon replication stress is required to suppress homologous recombination. The EMBO Journal. 32(12). 1778–1792. 42 indexed citations
7.
Gill, Sarvajeet Singh, J.M. Herreros, A. Tsolakis, et al.. (2012). Filtered EGR – a step towards an improved NOX/soot trade-off for DPF regeneration. RSC Advances. 2(27). 10400–10400. 12 indexed citations
8.
Townsend, Kelly, Helen Mason, Andrew N. Blackford, et al.. (2009). Mediator of DNA Damage Checkpoint 1 (MDC1) Regulates Mitotic Progression. Journal of Biological Chemistry. 284(49). 33939–33948. 39 indexed citations
9.
Stewart, Grant S., Stephanie Panier, Kelly Townsend, et al.. (2009). The RIDDLE Syndrome Protein Mediates a Ubiquitin-Dependent Signaling Cascade at Sites of DNA Damage. Cell. 136(3). 420–434. 599 indexed citations breakdown →
10.
Miller, Edward S., Kelly Townsend, Nicholas A. Morrice, et al.. (2008). Constitutive phosphorylation of MDC1 physically links the MRE11–RAD50–NBS1 complex to damaged chromatin. The Journal of Cell Biology. 181(2). 227–240. 186 indexed citations
11.
Ye, Rick W., Tao Wang, Tao Luan, et al.. (2007). Construction of the astaxanthin biosynthetic pathway in a methanotrophic bacterium Methylomonas sp. strain 16a. Journal of Industrial Microbiology & Biotechnology. 34(4). 289–299. 61 indexed citations
12.
Stewart, Grant S., Tatjana Stanković, Philip J. Byrd, et al.. (2007). RIDDLE immunodeficiency syndrome is linked to defects in 53BP1-mediated DNA damage signaling. Proceedings of the National Academy of Sciences. 104(43). 16910–16915. 135 indexed citations
13.
Miller, Edward S., Kimberley N Parker, Wolfgang Liebl, et al.. (2001). αa-D-Galactosidases from Thermotoga species. Methods in enzymology on CD-ROM/Methods in enzymology. 330. 246–260. 20 indexed citations
14.
Miller, Edward S. & S. Peretti. (2001). Toluene bioconversion to p‐hydroxybenzoate by fed‐batch cultures of recombinant Pseudomonas putida. Biotechnology and Bioengineering. 77(3). 340–351. 14 indexed citations
15.
Miller, Edward S. & S. Peretti. (1999). Bioconversion of toluene to p-hydroxybenzoate. Green Chemistry. 1(3). 143–152. 8 indexed citations
16.
Miller, Edward S.. (1994). Sound Military Decision. Naval War College review. 47(3). 27. 1 indexed citations
17.
Miller, Edward S., et al.. (1993). War Plan Orange: The U.S. Strategy to Defeat Japan, 1897-1945.. The American Historical Review. 98(1). 272–272. 2 indexed citations
18.
Miller, Edward S., et al.. (1992). War Plan Orange: The U.S. Strategy to Defeat Japan, 1897-1945.. Journal of American History. 79(2). 688–688. 5 indexed citations
19.
Miller, Edward S., et al.. (1992). Target: Pearl Harbor.. The Journal of Military History. 56(3). 528–528. 1 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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