Glen M. Hocky

3.5k total citations
54 papers, 1.5k citations indexed

About

Glen M. Hocky is a scholar working on Molecular Biology, Cell Biology and Materials Chemistry. According to data from OpenAlex, Glen M. Hocky has authored 54 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 20 papers in Cell Biology and 20 papers in Materials Chemistry. Recurrent topics in Glen M. Hocky's work include Cellular Mechanics and Interactions (20 papers), Force Microscopy Techniques and Applications (13 papers) and Protein Structure and Dynamics (12 papers). Glen M. Hocky is often cited by papers focused on Cellular Mechanics and Interactions (20 papers), Force Microscopy Techniques and Applications (13 papers) and Protein Structure and Dynamics (12 papers). Glen M. Hocky collaborates with scholars based in United States, France and United Kingdom. Glen M. Hocky's co-authors include David R. Reichman, Gregory A. Voth, Stefano Sacanna, Theodore Hueckel, Thomas E. Markland, David R. Kovar, Enrique M. De La Cruz, Jérémie Palacci, Andrew Dickson White and Aaron R. Dinner and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Glen M. Hocky

48 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Glen M. Hocky United States 24 570 495 432 285 242 54 1.5k
Ryan McGorty United States 19 265 0.5× 324 0.7× 317 0.7× 311 1.1× 132 0.5× 46 1.3k
Anatoly B. Kolomeisky United States 34 503 0.9× 744 1.5× 2.2k 5.1× 723 2.5× 439 1.8× 181 4.2k
Anne Bernheim‐Groswasser Israel 18 198 0.3× 747 1.5× 330 0.8× 327 1.1× 254 1.0× 37 1.5k
Kinjal Dasbiswas United States 13 185 0.3× 334 0.7× 200 0.5× 171 0.6× 204 0.8× 28 927
Peng‐Ye Wang China 30 191 0.3× 444 0.9× 1.8k 4.2× 351 1.2× 87 0.4× 201 2.9k
Günther Woehlke Germany 21 197 0.3× 1.4k 2.9× 1.3k 3.1× 169 0.6× 201 0.8× 35 2.5k
Nikta Fakhri United States 14 419 0.7× 224 0.5× 241 0.6× 204 0.7× 350 1.4× 27 1.4k
Paul R. Selvin United States 25 406 0.7× 499 1.0× 1.5k 3.4× 380 1.3× 58 0.2× 62 2.8k
Anatoly B. Kolomeisky United States 27 507 0.9× 216 0.4× 913 2.1× 334 1.2× 661 2.7× 70 2.6k
Michael Schlierf Germany 24 221 0.4× 311 0.6× 1.2k 2.9× 739 2.6× 38 0.2× 66 1.9k

Countries citing papers authored by Glen M. Hocky

Since Specialization
Citations

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

Fields of papers citing papers by Glen M. Hocky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Glen M. Hocky

This figure shows the co-authorship network connecting the top 25 collaborators of Glen M. Hocky. A scholar is included among the top collaborators of Glen M. Hocky 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 Glen M. Hocky. Glen M. Hocky 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.
Chen, Michael S., et al.. (2025). Direct observation and control of non-classical crystallization pathways in binary colloidal systems. Nature Communications. 16(1). 3645–3645. 2 indexed citations
2.
Hocky, Glen M., et al.. (2025). Crystallization of non-convex colloids: the roles of particle shape and entropy. Soft Matter. 21(36). 7021–7033.
3.
Hocky, Glen M., et al.. (2025). β-Barrel proteins dictate the effect of core oligosaccharide composition on outer membrane mechanics. Biophysical Journal. 124(5). 765–777.
4.
Hauser, Adam J., et al.. (2024). Enabling three-dimensional real-space analysis of ionic colloidal crystallization. Nature Materials. 23(8). 1131–1137. 10 indexed citations
5.
Homa, Kaitlin E., Glen M. Hocky, Cristian Suarez, & David R. Kovar. (2024). Arp2/3 complex- and formin-mediated actin cytoskeleton networks facilitate actin binding protein sorting in fission yeast. European Journal of Cell Biology. 103(2). 151404–151404. 3 indexed citations
6.
Cossio, Pilar, et al.. (2024). Good Rates From Bad Coordinates: The Exponential Average Time-dependent Rate Approach. Journal of Chemical Theory and Computation. 20(14). 5901–5912. 2 indexed citations
7.
White, Andrew Dickson, Glen M. Hocky, Sam Cox, et al.. (2023). Assessment of chemistry knowledge in large language models that generate code. Digital Discovery. 2(2). 368–376. 68 indexed citations
8.
Wellawatte, Geemi P., Glen M. Hocky, & Andrew Dickson White. (2023). Neural potentials of proteins extrapolate beyond training data. The Journal of Chemical Physics. 159(8). 7 indexed citations
9.
Singh, Yuvraj, et al.. (2022). Structure of Arp2/3 complex at a branched actin filament junction resolved by single-particle cryo-electron microscopy. Proceedings of the National Academy of Sciences. 119(22). e2202723119–e2202723119. 44 indexed citations
10.
Hocky, Glen M., et al.. (2022). Assessing models of force-dependent unbinding rates via infrequent metadynamics. The Journal of Chemical Physics. 156(12). 125102–125102. 12 indexed citations
11.
Bashirzadeh, Yashar, Steven A. Redford, Thomas Litschel, et al.. (2021). Actin crosslinker competition and sorting drive emergent GUV size-dependent actin network architecture. Communications Biology. 4(1). 1136–1136. 30 indexed citations
12.
Schroeder, Courtney M., et al.. (2019). A Burst of Genetic Innovation in Drosophila Actin-Related Proteins for Testis-Specific Function. Molecular Biology and Evolution. 37(3). 757–772. 9 indexed citations
13.
Hocky, Glen M., et al.. (2019). Plastic Deformation and Fragmentation of Strained Actin Filaments. Biophysical Journal. 117(3). 453–463. 19 indexed citations
14.
Suarez, Cristian, Jonathan D. Winkelman, David R. Kovar, et al.. (2019). Mechanical and kinetic factors drive sorting of F-actin cross-linkers on bundles. Proceedings of the National Academy of Sciences. 116(33). 16192–16197. 26 indexed citations
15.
Davtyan, Aram, et al.. (2018). Insights into the Cooperative Nature of ATP Hydrolysis in Actin Filaments. Biophysical Journal. 115(8). 1589–1602. 24 indexed citations
16.
Hocky, Glen M., et al.. (2018). Nonequilibrium phase diagrams for actomyosin networks. Soft Matter. 14(37). 7740–7747. 27 indexed citations
17.
Banerjee, Shiladitya, et al.. (2017). A Versatile Framework for Simulating the Dynamic Mechanical Structure of Cytoskeletal Networks. Biophysical Journal. 113(2). 448–460. 56 indexed citations
18.
Winkelman, Jonathan D., Cristian Suarez, Glen M. Hocky, et al.. (2016). Fascin- and α-Actinin-Bundled Networks Contain Intrinsic Structural Features that Drive Protein Sorting. Current Biology. 26(20). 2697–2706. 79 indexed citations
19.
Hocky, Glen M., Daniele Coslovich, Atsushi Ikeda, & David R. Reichman. (2014). Correlation of Local Order with Particle Mobility in Supercooled Liquids Is Highly System Dependent. Physical Review Letters. 113(15). 157801–157801. 68 indexed citations
20.
Hocky, Glen M., Ludovic Berthier, Walter Kob, & David R. Reichman. (2014). Crossovers in the dynamics of supercooled liquids probed by an amorphous wall. Physical Review E. 89(5). 52311–52311. 42 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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