Joshua Lequieu

1.5k total citations
27 papers, 1.1k citations indexed

About

Joshua Lequieu is a scholar working on Molecular Biology, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Joshua Lequieu has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Materials Chemistry and 7 papers in Organic Chemistry. Recurrent topics in Joshua Lequieu's work include Block Copolymer Self-Assembly (11 papers), DNA and Nucleic Acid Chemistry (7 papers) and Advanced Polymer Synthesis and Characterization (7 papers). Joshua Lequieu is often cited by papers focused on Block Copolymer Self-Assembly (11 papers), DNA and Nucleic Acid Chemistry (7 papers) and Advanced Polymer Synthesis and Characterization (7 papers). Joshua Lequieu collaborates with scholars based in United States, South Africa and Italy. Joshua Lequieu's co-authors include Juan Pablo, Daniel M. Hinckley, Glenn H. Fredrickson, Kris T. Delaney, David C. Schwartz, Gordon S. Freeman, Christopher M. Bates, Jonathan K. Whitmer, Andrés Córdoba and Morgan W. Bates and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Joshua Lequieu

25 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua Lequieu United States 18 549 389 287 126 109 27 1.1k
Pongphak Chidchob Canada 13 539 1.0× 184 0.5× 207 0.7× 36 0.3× 25 0.2× 14 812
Bronwyn J. Battersby Australia 18 674 1.2× 343 0.9× 112 0.4× 37 0.3× 82 0.8× 38 1.2k
Alexander Mastroianni United States 6 520 0.9× 620 1.6× 257 0.9× 74 0.6× 104 1.0× 8 1.3k
Silvie A. Meeuwissen Netherlands 14 286 0.5× 206 0.5× 492 1.7× 66 0.5× 189 1.7× 14 862
Alexander F. Mason Netherlands 21 718 1.3× 316 0.8× 306 1.1× 53 0.4× 136 1.2× 35 1.4k
Vincent Lemieux Canada 11 182 0.3× 505 1.3× 279 1.0× 35 0.3× 32 0.3× 13 804
Per Rigler Switzerland 13 391 0.7× 89 0.2× 162 0.6× 34 0.3× 104 1.0× 17 702
Nam-Kyung Lee South Korea 14 263 0.5× 172 0.4× 90 0.3× 45 0.4× 79 0.7× 66 684
Archna P. Massey United States 8 363 0.7× 186 0.5× 121 0.4× 72 0.6× 38 0.3× 14 808
Zhan‐Wei Li China 19 180 0.3× 551 1.4× 320 1.1× 84 0.7× 97 0.9× 67 1.1k

Countries citing papers authored by Joshua Lequieu

Since Specialization
Citations

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

Fields of papers citing papers by Joshua Lequieu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua Lequieu

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua Lequieu. A scholar is included among the top collaborators of Joshua Lequieu 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 Joshua Lequieu. Joshua Lequieu 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
2.
Lequieu, Joshua, et al.. (2025). Accelerating multi-species field-theoretic simulations using Bayesian optimization. Molecular Systems Design & Engineering. 10(11). 982–996.
3.
Lequieu, Joshua, et al.. (2024). A Molecular View into the Structure and Dynamics of Phase-Separated Chromatin. The Journal of Physical Chemistry B. 128(43). 10593–10603. 4 indexed citations
4.
Lequieu, Joshua. (2023). Combining particle and field-theoretic polymer models with multi-representation simulations. The Journal of Chemical Physics. 158(24). 15 indexed citations
5.
Levi, Adam E., Liangbing Fu, Joshua Lequieu, et al.. (2020). Efficient Synthesis of Asymmetric Miktoarm Star Polymers. Macromolecules. 53(2). 702–710. 51 indexed citations
6.
Barbon, Stephanie M., Duyu Chen, Cheng Zhang, et al.. (2020). Architecture Effects in Complex Spherical Assemblies of (AB)n-Type Block Copolymers. ACS Macro Letters. 9(12). 1745–1752. 40 indexed citations
7.
Lequieu, Joshua, Timothy Quah, Kris T. Delaney, & Glenn H. Fredrickson. (2020). Complete Photonic Band Gaps with Nonfrustrated ABC Bottlebrush Block Polymers. ACS Macro Letters. 9(7). 1074–1080. 44 indexed citations
8.
Levi, Adam E., Joshua Lequieu, Morgan W. Bates, et al.. (2019). Miktoarm Stars via Grafting-Through Copolymerization: Self-Assembly and the Star-to-Bottlebrush Transition. Macromolecules. 52(4). 1794–1802. 79 indexed citations
9.
Moller, Joshua, Joshua Lequieu, & Juan Pablo. (2019). The Free Energy Landscape of Internucleosome Interactions and Its Relation to Chromatin Fiber Structure. ACS Central Science. 5(2). 341–348. 39 indexed citations
10.
Lequieu, Joshua, Andrés Córdoba, Joshua Moller, & Juan Pablo. (2019). 1CPN: A coarse-grained multi-scale model of chromatin. The Journal of Chemical Physics. 150(21). 215102–215102. 35 indexed citations
11.
Bates, Morgan W., Joshua Lequieu, Stephanie M. Barbon, et al.. (2019). Stability of the A15 phase in diblock copolymer melts. Proceedings of the National Academy of Sciences. 116(27). 13194–13199. 163 indexed citations
12.
Lequieu, Joshua, et al.. (2019). Extracting collective motions underlying nucleosome dynamics via nonlinear manifold learning. The Journal of Chemical Physics. 150(5). 54902–54902. 7 indexed citations
13.
Lequieu, Joshua, David C. Schwartz, & Juan Pablo. (2017). In silico evidence for sequence-dependent nucleosome sliding. Proceedings of the National Academy of Sciences. 114(44). E9197–E9205. 65 indexed citations
14.
Córdoba, Andrés, Daniel M. Hinckley, Joshua Lequieu, & Juan Pablo. (2017). A Molecular View of the Dynamics of dsDNA Packing Inside Viral Capsids in the Presence of Ions. Biophysical Journal. 112(7). 1302–1315. 21 indexed citations
15.
Tchoua, Roselyne, Kyle Chard, Debra J. Audus, et al.. (2017). Towards a Hybrid Human-Computer Scientific Information Extraction Pipeline. 109–118. 17 indexed citations
16.
Lequieu, Joshua, Andrés Córdoba, David C. Schwartz, & Juan Pablo. (2016). Tension-Dependent Free Energies of Nucleosome Unwrapping. ACS Central Science. 2(9). 660–666. 62 indexed citations
17.
Lequieu, Joshua, Daniel M. Hinckley, & Juan Pablo. (2015). A molecular view of DNA-conjugated nanoparticle association energies. Soft Matter. 11(10). 1919–1929. 6 indexed citations
18.
Freeman, Gordon S., Joshua Lequieu, Daniel M. Hinckley, Jonathan K. Whitmer, & Juan Pablo. (2014). DNA Shape Dominates Sequence Affinity in Nucleosome Formation. Physical Review Letters. 113(16). 168101–168101. 74 indexed citations
19.
Lequieu, Joshua, et al.. (2012). Studying host cell protein interactions with monoclonal antibodies using high throughput protein A chromatography. Biotechnology Journal. 7(10). 1233–1241. 66 indexed citations
20.
Lequieu, Joshua, Anirikh Chakrabarti, Satyaprakash Nayak, & Jeffrey D. Varner. (2011). Computational Modeling and Analysis of Insulin Induced Eukaryotic Translation Initiation. PLoS Computational Biology. 7(11). e1002263–e1002263. 17 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026