Arvind Murugan

2.6k total citations
41 papers, 1.6k citations indexed

About

Arvind Murugan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Astronomy and Astrophysics. According to data from OpenAlex, Arvind Murugan has authored 41 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Astronomy and Astrophysics. Recurrent topics in Arvind Murugan's work include Gene Regulatory Network Analysis (7 papers), Photoreceptor and optogenetics research (5 papers) and Black Holes and Theoretical Physics (5 papers). Arvind Murugan is often cited by papers focused on Gene Regulatory Network Analysis (7 papers), Photoreceptor and optogenetics research (5 papers) and Black Holes and Theoretical Physics (5 papers). Arvind Murugan collaborates with scholars based in United States, Spain and Poland. Arvind Murugan's co-authors include Igor R. Klebanov, David Kutasov, Stanislas Leibler, Menachem Stern, Michael P. Brenner, David A. Huse, Wenling Gu, L. G. de Pillis, K. Renee Fister and Suriyanarayanan Vaikuntanathan and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Arvind Murugan

41 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Arvind Murugan 492 447 447 277 170 41 1.6k
A. Gamba 108 0.2× 317 0.7× 106 0.2× 162 0.6× 226 1.3× 77 1.1k
R. Preuss 153 0.3× 112 0.3× 72 0.2× 117 0.4× 64 0.4× 58 1.1k
F. Hayot 245 0.5× 541 1.2× 18 0.0× 170 0.6× 34 0.2× 93 1.7k
Gernot Schaller 51 0.1× 118 0.3× 67 0.1× 1.0k 3.7× 172 1.0× 79 2.2k
Jan Brugués 133 0.3× 646 1.4× 110 0.2× 161 0.6× 3 0.0× 38 1.3k
Albrecht Ott 21 0.0× 783 1.8× 58 0.1× 212 0.8× 135 0.8× 68 3.1k
I. Richard Lapidus 93 0.2× 249 0.6× 25 0.1× 154 0.6× 142 0.8× 61 786
Gilberto L. Thomas 85 0.2× 326 0.7× 13 0.0× 34 0.1× 196 1.2× 32 1.0k
Vasily Zaburdaev 27 0.1× 1.5k 3.4× 27 0.1× 496 1.8× 343 2.0× 82 2.7k
Greg Huber 32 0.1× 478 1.1× 41 0.1× 130 0.5× 22 0.1× 60 1.2k

Countries citing papers authored by Arvind Murugan

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Murugan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arvind Murugan

This figure shows the co-authorship network connecting the top 25 collaborators of Arvind Murugan. A scholar is included among the top collaborators of Arvind Murugan 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 Arvind Murugan. Arvind Murugan 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.
Scellier, Benjamin, et al.. (2025). Temporal Contrastive Learning through implicit non-equilibrium memory. Nature Communications. 16(1). 2163–2163. 3 indexed citations
2.
Dinner, Aaron R., et al.. (2025). Limits on the computational expressivity of non-equilibrium biophysical processes. Nature Communications. 16(1). 7184–7184. 3 indexed citations
3.
Husain, Kabir, et al.. (2025). Soft Modes as a Predictive Framework for Low-Dimensional Biological Systems Across Scales. Annual Review of Biophysics. 54(1). 401–426. 5 indexed citations
4.
Gilpin, William, et al.. (2024). Curiosity-driven search for novel nonequilibrium behaviors. Physical Review Research. 6(3). 1 indexed citations
5.
Winfree, Erik, et al.. (2024). Pattern recognition in the nucleation kinetics of non-equilibrium self-assembly. Nature. 625(7995). 500–507. 39 indexed citations
6.
Jaeger, Heinrich M., Arvind Murugan, & Sidney R. Nagel. (2024). Training physical matter to matter. Soft Matter. 20(34). 6695–6701. 4 indexed citations
7.
Stern, Menachem & Arvind Murugan. (2023). Learning Without Neurons in Physical Systems. Annual Review of Condensed Matter Physics. 14(1). 417–441. 50 indexed citations
8.
Stern, Menachem, et al.. (2023). Learning to self-fold at a bifurcation. Physical review. E. 107(2). 25001–25001. 14 indexed citations
9.
Su, Christina J., Arvind Murugan, James M. Linton, et al.. (2022). Ligand-receptor promiscuity enables cellular addressing. Cell Systems. 13(5). 408–425.e12. 43 indexed citations
10.
Schaffter, Samuel W., et al.. (2022). Standardized excitable elements for scalable engineering of far-from-equilibrium chemical networks. Nature Chemistry. 14(11). 1224–1232. 30 indexed citations
11.
Son, Minjun, Hsiung‐Lin Tu, Marie Oliver Metzig, et al.. (2021). NF-κB responds to absolute differences in cytokine concentrations. Science Signaling. 14(666). 34 indexed citations
12.
Stern, Menachem, et al.. (2020). Supervised learning through physical changes in a mechanical system. Proceedings of the National Academy of Sciences. 117(26). 14843–14850. 48 indexed citations
13.
Husain, Kabir, et al.. (2020). Kinetic Proofreading using Substrate Gradients and Enzyme Diffusion. Biophysical Journal. 118(3). 573a–574a. 1 indexed citations
14.
Husain, Kabir, et al.. (2019). Kalman-like Self-Tuned Sensitivity in Biophysical Sensing. Cell Systems. 9(5). 459–465.e6. 6 indexed citations
15.
Lin, Jenny, et al.. (2018). High protein copy number is required to suppress stochasticity in the cyanobacterial circadian clock. Nature Communications. 9(1). 3004–3004. 29 indexed citations
16.
Lu, Zhiyue, et al.. (2018). Biophysical clocks face a trade-off between internal and external noise resistance. eLife. 7. 31 indexed citations
17.
Stern, Menachem, et al.. (2018). Shaping the topology of folding pathways in mechanical systems. Nature Communications. 9(1). 4303–4303. 29 indexed citations
18.
Pinson, Matthew B., et al.. (2017). Self-folding origami at any energy scale. Nature Communications. 8(1). 15477–15477. 42 indexed citations
19.
Murugan, Arvind & Suriyanarayanan Vaikuntanathan. (2017). Topologically protected modes in non-equilibrium stochastic systems. Nature Communications. 8(1). 13881–13881. 44 indexed citations
20.
Murugan, Arvind, James Zou, & Michael P. Brenner. (2015). Undesired usage and the robust self-assembly of heterogeneous structures. Nature Communications. 6(1). 6203–6203. 54 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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