Thomas Quail

661 total citations · 1 hit paper
9 papers, 420 citations indexed

About

Thomas Quail is a scholar working on Molecular Biology, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Thomas Quail has authored 9 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Computer Networks and Communications and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Thomas Quail's work include stochastic dynamics and bifurcation (2 papers), Nonlinear Dynamics and Pattern Formation (2 papers) and Complex Systems and Time Series Analysis (2 papers). Thomas Quail is often cited by papers focused on stochastic dynamics and bifurcation (2 papers), Nonlinear Dynamics and Pattern Formation (2 papers) and Complex Systems and Time Series Analysis (2 papers). Thomas Quail collaborates with scholars based in Canada, Germany and United Kingdom. Thomas Quail's co-authors include Jan Brugués, Stefan Golfier, Hiroshi Kimurâ, Leon Glass, Alvin Shrier, Loan Nguyen‐Yamamoto, Reyhaneh Salehi-Tabar, Beum‐Soo An, V. Dimitrov and John H. White and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Thomas Quail

9 papers receiving 414 citations

Hit Papers

PARP1-DNA co-condensation drives DNA repair site assembly... 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Quail Canada 8 255 65 52 52 49 9 420
Anne K. Green United Kingdom 11 227 0.9× 8 0.1× 19 0.4× 18 0.3× 30 0.6× 18 406
Daniela Scheurle United States 9 218 0.9× 16 0.2× 55 1.1× 15 0.3× 55 1.1× 9 386
Xiaoguang Li China 13 222 0.9× 32 0.5× 19 0.4× 9 0.2× 29 0.6× 23 344
Charles Shang United States 13 138 0.5× 66 1.0× 27 0.5× 16 0.3× 62 1.3× 22 423
Laura Cantini France 12 447 1.8× 11 0.2× 37 0.7× 4 0.1× 32 0.7× 27 589
Huaying Fang China 10 305 1.2× 32 0.5× 104 2.0× 14 0.3× 78 1.6× 25 622
Xiangqun Zheng-Bradley United Kingdom 9 400 1.6× 31 0.5× 35 0.7× 58 1.1× 275 5.6× 11 719
Anael Verdugo United States 8 256 1.0× 3 0.0× 46 0.9× 21 0.4× 67 1.4× 14 396
Ekaterina Kotelnikova United States 12 325 1.3× 94 1.4× 41 0.8× 21 0.4× 35 0.7× 24 503
Michael Pargett United States 15 482 1.9× 19 0.3× 66 1.3× 26 0.5× 32 0.7× 27 654

Countries citing papers authored by Thomas Quail

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Quail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Quail

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

All Works

9 of 9 papers shown
1.
Quail, Thomas, et al.. (2025). Cryo-EM reveals open and closed Asgard chromatin assemblies. Molecular Cell. 85(22). 4152–4165.e5. 3 indexed citations
2.
Chappidi, Nagaraja, Thomas Quail, Radoslav Aleksandrov, et al.. (2024). PARP1-DNA co-condensation drives DNA repair site assembly to prevent disjunction of broken DNA ends. Cell. 187(4). 945–961.e18. 74 indexed citations breakdown →
3.
Golfier, Stefan, Thomas Quail, Hiroshi Kimurâ, & Jan Brugués. (2020). Cohesin and condensin extrude DNA loops in a cell cycle-dependent manner. eLife. 9. 148 indexed citations
4.
Quail, Thomas, Alvin Shrier, & Leon Glass. (2015). Predicting the onset of period-doubling bifurcations in noisy cardiac systems. Proceedings of the National Academy of Sciences. 112(30). 9358–9363. 37 indexed citations
5.
Stacey, R. Greg, Lennart Hilbert, & Thomas Quail. (2015). Computational study of synchrony in fields and microclusters of ephaptically coupled neurons. Journal of Neurophysiology. 113(9). 3229–3241. 13 indexed citations
6.
Quail, Thomas, Alvin Shrier, & Leon Glass. (2014). Spatial Symmetry Breaking Determines Spiral Wave Chirality. Physical Review Letters. 113(15). 158101–158101. 21 indexed citations
7.
Quail, Thomas, et al.. (2012). Tunable oscillations and chaotic dynamics in systems with localized synthesis. Physical Review E. 85(4). 46210–46210. 17 indexed citations
8.
Quail, Thomas, Nevin McVicar, Martín Aguilar, et al.. (2012). Chaotic dynamics in cardiac aggregates induced by potassium channel block. Chaos An Interdisciplinary Journal of Nonlinear Science. 22(3). 33140–33140. 14 indexed citations
9.
Salehi-Tabar, Reyhaneh, Loan Nguyen‐Yamamoto, Luz E. Tavera-Mendoza, et al.. (2012). Vitamin D receptor as a master regulator of the c-MYC/MXD1 network. Proceedings of the National Academy of Sciences. 109(46). 18827–18832. 93 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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