Ben Morris

2.1k total citations
34 papers, 703 citations indexed

About

Ben Morris is a scholar working on Molecular Biology, Statistics and Probability and Mathematical Physics. According to data from OpenAlex, Ben Morris has authored 34 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Statistics and Probability and 9 papers in Mathematical Physics. Recurrent topics in Ben Morris's work include Markov Chains and Monte Carlo Methods (10 papers), Stochastic processes and statistical mechanics (9 papers) and CRISPR and Genetic Engineering (5 papers). Ben Morris is often cited by papers focused on Markov Chains and Monte Carlo Methods (10 papers), Stochastic processes and statistical mechanics (9 papers) and CRISPR and Genetic Engineering (5 papers). Ben Morris collaborates with scholars based in United States, Netherlands and United Kingdom. Ben Morris's co-authors include Yuval Peres, Roderick L. Beijersbergen, Alistair Sinclair, Cor Lieftink, Fleur Jochems, Rodrigo Leite de Oliveira, René Bernards, Bastiaan Evers, Lisa Willemsen and Sara Mainardi and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Ben Morris

33 papers receiving 673 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ben Morris United States 13 308 115 112 101 92 34 703
Robert Adams Germany 12 209 0.7× 36 0.3× 22 0.2× 33 0.3× 25 0.3× 27 657
S. J. Dilworth United States 15 365 1.2× 352 3.1× 164 1.5× 23 0.2× 7 0.1× 69 1.1k
Daniel Kaschek Germany 15 514 1.7× 8 0.1× 35 0.3× 18 0.2× 41 0.4× 26 811
Kay Tatsuoka United States 12 318 1.0× 8 0.1× 135 1.2× 30 0.3× 22 0.2× 21 1.3k
Omer Angel Canada 12 380 1.2× 279 2.4× 160 1.4× 2 0.0× 48 0.5× 47 796
Carly A. Bridge United States 8 188 0.6× 10 0.1× 11 0.1× 14 0.1× 19 0.2× 10 881
Sabine Hug Germany 8 297 1.0× 6 0.1× 43 0.4× 8 0.1× 50 0.5× 10 448
Georgios Stamatakos Greece 19 296 1.0× 7 0.1× 9 0.1× 19 0.2× 52 0.6× 89 1.1k
Julie Bachmann Germany 10 491 1.6× 3 0.0× 17 0.2× 30 0.3× 22 0.2× 11 717
I‐Ping Tu Taiwan 13 231 0.8× 4 0.0× 49 0.4× 18 0.2× 46 0.5× 30 857

Countries citing papers authored by Ben Morris

Since Specialization
Citations

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

Fields of papers citing papers by Ben Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben Morris. 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 Ben Morris. The network helps show where Ben Morris may publish in the future.

Co-authorship network of co-authors of Ben Morris

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Morris. A scholar is included among the top collaborators of Ben Morris 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 Ben Morris. Ben Morris 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.
Groot, Marnix H. P. de, Joleen J.H. Traets, Daan J. Kloosterman, et al.. (2025). Targeting DOT1L and EZH2 synergizes in breaking the germinal center identity of diffuse large B-cell lymphoma. Blood. 145(16). 1802–1813. 2 indexed citations
2.
Vergara, Xabier, Marcel de Haas, Ben Morris, et al.. (2024). Widespread chromatin context-dependencies of DNA double-strand break repair proteins. Nature Communications. 15(1). 5334–5334. 8 indexed citations
3.
Vergara, Xabier, Ben Morris, Stefano Giustino Manzo, et al.. (2024). Chromatin context-dependent effects of epigenetic drugs on CRISPR-Cas9 editing. Nucleic Acids Research. 52(15). 8815–8832. 4 indexed citations
4.
Hoefsmit, Esmée P., Disha Rao, Petros Dimitriadis, et al.. (2023). Inhibitor of Apoptosis Proteins Antagonist Induces T-cell Proliferation after Cross-Presentation by Dendritic Cells. Cancer Immunology Research. 11(4). 450–465. 10 indexed citations
5.
Pogacar, Ziva, Fleur Jochems, Antonio Mulero‐Sánchez, et al.. (2022). Genetic and compound screens uncover factors modulating cancer cell response to indisulam. Life Science Alliance. 5(9). e202101348–e202101348. 8 indexed citations
6.
Brinkman, Eva K., Christ Leemans, Xabier Vergara, et al.. (2021). Impact of chromatin context on Cas9-induced DNA double-strand break repair pathway balance. Molecular Cell. 81(10). 2216–2230.e10. 118 indexed citations
7.
Tuijnenburg, Paul, Machiel H. Jansen, Ben Morris, et al.. (2019). High‐throughput compound screen reveals mTOR inhibitors as potential therapeutics to reduce (auto)antibody production by human plasma cells. European Journal of Immunology. 50(1). 73–85. 17 indexed citations
8.
Serresi, Michela, Bjørn Siteur, Danielle Hulsman, et al.. (2018). Ezh2 inhibition in Kras-driven lung cancer amplifies inflammation and associated vulnerabilities. The Journal of Experimental Medicine. 215(12). 3115–3135. 31 indexed citations
9.
Wang, Liqin, Rodrigo Leite de Oliveira, Cun Wang, et al.. (2017). High-Throughput Functional Genetic and Compound Screens Identify Targets for Senescence Induction in Cancer. Cell Reports. 21(3). 773–783. 163 indexed citations
10.
Qiao, Xiaohang, Anja Duursma, Ruud H. Wijdeven, et al.. (2017). Identification of a novel ATM inhibitor with cancer cell specific radiosensitization activity. Oncotarget. 8(43). 73925–73937. 28 indexed citations
11.
Morris, Ben, et al.. (2014). Mixing time of the card-cyclic-to-random shuffle. The Annals of Applied Probability. 24(5). 3 indexed citations
12.
Morris, Ben & Phillip Rogaway. (2013). Sometimes-Recurse Shuffle - Almost-Random Permutations in Logarithmic Expected Time.. IACR Cryptology ePrint Archive. 2013. 311–326. 2 indexed citations
13.
Morris, Ben, et al.. (2011). Quantifying the wear of acetabular cups using coordinate metrology. Wear. 271(7-8). 1086–1092. 7 indexed citations
14.
Benjamini, Itaï, Ori Gurel-Gurevich, & Ben Morris. (2011). Linear cover time is exponentially unlikely. Probability Theory and Related Fields. 155(1-2). 451–461. 1 indexed citations
15.
Evans, Steven N., Ben Morris, & Arnab Sen. (2009). Coalescing systems of Brownian particles on the Sierpinski gasket and stable particles on the line or circle. arXiv (Cornell University). 1 indexed citations
16.
Morris, Ben. (2009). Improved mixing time bounds for the Thorp shuffle and L-reversal chain. The Annals of Probability. 37(2). 12 indexed citations
17.
Morris, Ben & Yuval Peres. (2005). Evolving sets, mixing and heat kernel bounds. Probability Theory and Related Fields. 133(2). 245–266. 60 indexed citations
18.
Morris, Ben. (2003). The components of the Wired Spanning Forest are recurrent. Probability Theory and Related Fields. 125(2). 259–265. 73 indexed citations
19.
Morris, Ben & Alistair Sinclair. (2003). Random walks on truncated cubes and sampling 0-1 knapsack solutions. 230–240. 14 indexed citations
20.
Morris, Ben. (2002). Improved bounds for sampling contingency tables. Random Structures and Algorithms. 21(2). 135–146. 14 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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