Michael F. Hagan

7.3k total citations · 1 hit paper
114 papers, 5.4k citations indexed

About

Michael F. Hagan is a scholar working on Molecular Biology, Condensed Matter Physics and Ecology. According to data from OpenAlex, Michael F. Hagan has authored 114 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 41 papers in Condensed Matter Physics and 35 papers in Ecology. Recurrent topics in Michael F. Hagan's work include Micro and Nano Robotics (40 papers), Bacteriophages and microbial interactions (35 papers) and Pickering emulsions and particle stabilization (21 papers). Michael F. Hagan is often cited by papers focused on Micro and Nano Robotics (40 papers), Bacteriophages and microbial interactions (35 papers) and Pickering emulsions and particle stabilization (21 papers). Michael F. Hagan collaborates with scholars based in United States, Romania and Germany. Michael F. Hagan's co-authors include Aparna Baskaran, Gabriel S. Redner, Jason D. Perlmutter, David Chandler, Arup K. Chakraborty, Arun Majumdar, Gregory M. Grason, L. Mahadevan, Zvonimir Dogic and Seth Fraden and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Michael F. Hagan

112 papers receiving 5.3k citations

Hit Papers

Structure and Dynamics of... 2013 2026 2017 2021 2013 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
Michael F. Hagan United States 41 1.9k 1.9k 1.3k 1.2k 971 114 5.4k
Robijn Bruinsma United States 58 3.3k 1.7× 1.8k 1.0× 2.5k 1.8× 1.3k 1.1× 1.7k 1.7× 220 10.5k
Zvonimir Dogic United States 40 1.3k 0.7× 2.8k 1.5× 2.1k 1.6× 327 0.3× 1.5k 1.5× 84 6.8k
Davide Marenduzzo United Kingdom 58 3.9k 2.1× 4.1k 2.2× 2.2k 1.7× 611 0.5× 2.4k 2.4× 252 10.2k
Rudolf Podgornik Slovenia 50 3.4k 1.8× 686 0.4× 2.2k 1.6× 876 0.7× 2.3k 2.4× 290 10.2k
Seth Fraden United States 44 1.1k 0.6× 910 0.5× 2.3k 1.7× 333 0.3× 1.8k 1.9× 110 6.1k
Enzo Orlandini Italy 41 1.6k 0.8× 1.6k 0.9× 1.4k 1.0× 232 0.2× 1.2k 1.2× 221 6.8k
Christoph F. Schmidt Germany 52 4.1k 2.2× 1.0k 0.5× 1.3k 1.0× 827 0.7× 3.3k 3.4× 135 11.8k
David Reguera Spain 38 960 0.5× 459 0.2× 980 0.7× 954 0.8× 1.2k 1.2× 97 4.6k
David Bensimon France 52 5.6k 3.0× 1.1k 0.6× 1.3k 0.9× 927 0.8× 2.3k 2.4× 130 10.1k
Charles M. Knobler United States 60 2.9k 1.5× 841 0.5× 2.5k 1.9× 2.0k 1.7× 2.1k 2.1× 209 9.7k

Countries citing papers authored by Michael F. Hagan

Since Specialization
Citations

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

Fields of papers citing papers by Michael F. Hagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael F. Hagan. 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 Michael F. Hagan. The network helps show where Michael F. Hagan may publish in the future.

Co-authorship network of co-authors of Michael F. Hagan

This figure shows the co-authorship network connecting the top 25 collaborators of Michael F. Hagan. A scholar is included among the top collaborators of Michael F. Hagan 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 Michael F. Hagan. Michael F. Hagan 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.
Hagan, Michael F., et al.. (2025). Disassembly of Virus-Like Particles and the Stabilizing Role of the Nucleic Acid Cargo. The Journal of Physical Chemistry B. 129(5). 1516–1528.
2.
Foster, Peter, et al.. (2025). Arrested coalescence, aging, and stability of asters composed of microtubules and kinesin motors. Physical Review Research. 7(1).
3.
Hall, Douglas M., et al.. (2024). Limits of economy and fidelity for programmable assembly of size-controlled triply periodic polyhedra. Proceedings of the National Academy of Sciences. 121(18). e2315648121–e2315648121. 13 indexed citations
4.
Tran, P., Yunrui Li, Aparna Baskaran, et al.. (2024). Deep-learning optical flow for measuring velocity fields from experimental data. Soft Matter. 20(36). 7246–7257. 3 indexed citations
5.
Li, Yunrui, P. Tran, Aparna Baskaran, et al.. (2024). A machine learning approach to robustly determine director fields and analyze defects in active nematics. Soft Matter. 20(8). 1869–1883. 3 indexed citations
6.
Hagan, Michael F., et al.. (2024). Markov State Model Approach to Simulate Self-Assembly. Physical Review X. 14(4). 3 indexed citations
7.
Guo, Jiaqi, Qian‐Feng Qiu, Michael M. Norton, et al.. (2024). Cell-Free Nonequilibrium Assembly for Hierarchical Protein/Peptide Nanopillars. Journal of the American Chemical Society. 146(38). 26102–26112. 2 indexed citations
8.
Sigl, Christian, et al.. (2024). Hierarchical assembly is more robust than egalitarian assembly in synthetic capsids. Proceedings of the National Academy of Sciences. 121(7). e2312775121–e2312775121. 9 indexed citations
9.
Joshi, Chaitanya, Zahra Zarei, Michael M. Norton, et al.. (2023). From disks to channels: dynamics of active nematics confined to an annulus. Soft Matter. 19(29). 5630–5640. 9 indexed citations
10.
Hagan, Michael F., et al.. (2023). Engineering Metastability into a Virus-like Particle to Enable Triggered Dissociation. Journal of the American Chemical Society. 145(4). 2322–2331. 6 indexed citations
11.
Hagan, Michael F., et al.. (2022). Steady states of active Brownian particles interacting with boundaries. Journal of Statistical Mechanics Theory and Experiment. 2022(1). 13208–13208. 10 indexed citations
12.
Norton, Michael M., Piyush Grover, Michael F. Hagan, & Seth Fraden. (2020). Optimal Control of Active Nematics. Physical Review Letters. 125(17). 178005–178005. 41 indexed citations
13.
Chelakkot, Raghunath, Michael F. Hagan, & Arvind Gopinath. (2020). Synchronized oscillations, traveling waves, and jammed clusters induced by steric interactions in active filament arrays. Soft Matter. 17(4). 1091–1104. 19 indexed citations
14.
Zuraw, S. E., D. Wood, Lisheng Wang, et al.. (2019). Nanoparticles binding to lipid membranes: from vesicle-based gels to vesicle tubulation and destruction. Nanoscale. 11(39). 18464–18474. 24 indexed citations
15.
Norton, Michael, et al.. (2018). Multistable Dynamical Network of Diffusively Coupled Chemical Oscillators. Bulletin of the American Physical Society. 2018. 1 indexed citations
16.
Michaels, Thomas C. T., Mathias M. J. Bellaiche, Michael F. Hagan, & Tuomas P. J. Knowles. (2017). Kinetic constraints on self-assembly into closed supramolecular structures. Scientific Reports. 7(1). 12295–12295. 19 indexed citations
17.
Liu, Kang K. L., Michael F. Hagan, & John Lisman. (2017). Gradation (approx. 10 size states) of synaptic strength by quantal addition of structural modules. Philosophical Transactions of the Royal Society B Biological Sciences. 372(1715). 20160328–20160328. 21 indexed citations
18.
Gibaud, Thomas, Edward Barry, Mark J. Zakhary, et al.. (2012). Reconfigurable self-assembly through chiral control of interfacial tension. 2 indexed citations
19.
Hagan, Michael F.. (2008). Controlling viral capsid assembly with templating. Physical Review E. 77(5). 51904–51904. 55 indexed citations
20.
Chakraborty, Amrita, Michael F. Hagan, Jerry Jenkins, & S. Sundaram. (2004). Multiscale (Nano-to-Micro) Design of Integrated Nanobio Systems. TechConnect Briefs. 3(2004). 22–25. 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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