Supravat Dey

525 total citations
25 papers, 276 citations indexed

About

Supravat Dey is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Condensed Matter Physics. According to data from OpenAlex, Supravat Dey has authored 25 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Statistical and Nonlinear Physics and 5 papers in Condensed Matter Physics. Recurrent topics in Supravat Dey's work include Gene Regulatory Network Analysis (17 papers), stochastic dynamics and bifurcation (6 papers) and Micro and Nano Robotics (5 papers). Supravat Dey is often cited by papers focused on Gene Regulatory Network Analysis (17 papers), stochastic dynamics and bifurcation (6 papers) and Micro and Nano Robotics (5 papers). Supravat Dey collaborates with scholars based in United States, India and France. Supravat Dey's co-authors include Abhyudai Singh, Dibyendu Das, R. Rajesh, Robert C. Brewster, Sandeep Choubey, David Rueda, Sanjay Tyagi, Charles R. M. Bangham, Michi Miura and Mohammad Soltani 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

Supravat Dey

23 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Supravat Dey United States 10 144 82 57 47 27 25 276
Bree Cummins United States 9 141 1.0× 18 0.2× 18 0.3× 49 1.0× 22 0.8× 31 373
Apoorva Nagar India 10 222 1.5× 57 0.7× 123 2.2× 33 0.7× 7 0.3× 13 302
Fridtjof Brauns Germany 11 145 1.0× 97 1.2× 52 0.9× 24 0.5× 19 0.7× 21 398
Hanliang Guo United States 10 65 0.5× 133 1.6× 14 0.2× 30 0.6× 16 0.6× 17 298
Rosa Martinez-Corral United States 8 246 1.7× 16 0.2× 24 0.4× 57 1.2× 16 0.6× 16 399
Konstantin Doubrovinski United States 10 171 1.2× 91 1.1× 16 0.3× 22 0.5× 55 2.0× 17 504
Vera Calenbuhr Belgium 8 53 0.4× 34 0.4× 61 1.1× 31 0.7× 26 1.0× 13 222
P. K. Maini United Kingdom 13 199 1.4× 31 0.4× 32 0.6× 83 1.8× 28 1.0× 30 592
Hirokazu Tanimoto France 9 191 1.3× 54 0.7× 12 0.2× 24 0.5× 30 1.1× 16 372
Nicolas Levernier France 9 164 1.1× 33 0.4× 83 1.5× 7 0.1× 9 0.3× 12 287

Countries citing papers authored by Supravat Dey

Since Specialization
Citations

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

Fields of papers citing papers by Supravat Dey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Supravat Dey

This figure shows the co-authorship network connecting the top 25 collaborators of Supravat Dey. A scholar is included among the top collaborators of Supravat Dey 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 Supravat Dey. Supravat Dey 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.
Dey, Supravat, et al.. (2026). Role of activity and dissipation in achieving precise beating in cilia: insights from the rower model. New Journal of Physics. 28(2). 24402–24402.
2.
Biswas, Kuheli, Supravat Dey, & Abhyudai Singh. (2024). Sequestration of gene products by decoys enhances precision in the timing of intracellular events. Scientific Reports. 14(1). 27199–27199. 1 indexed citations
3.
Dey, Supravat, Gladys Massiera, & Estelle Pitard. (2024). Role of cilia activity and surrounding viscous fluid in properties of metachronal waves. Physical review. E. 110(1). 14409–14409. 4 indexed citations
4.
Dey, Supravat, et al.. (2022). Modeling noise propagation in time-delayed auto-inhibitory genetic circuits. IFAC-PapersOnLine. 55(20). 552–557. 2 indexed citations
5.
Dey, Supravat, et al.. (2022). Gene copy number and negative feedback differentially regulate transcriptional variability of segmentation clock genes. iScience. 25(7). 104579–104579. 9 indexed citations
6.
Dey, Supravat, et al.. (2022). The impact of decoys on a genetic oscillator based on coupled positive-negative feedbacks. IFAC-PapersOnLine. 55(40). 127–132. 1 indexed citations
7.
Dey, Supravat, Cesar A. Vargas-García, & Abhyudai Singh. (2022). Sequestration-based feedback control of blood platelet levels. 2022 IEEE 61st Conference on Decision and Control (CDC). 1930–1935. 1 indexed citations
8.
Dey, Supravat, et al.. (2021). Reduction in gene expression noise by targeted increase in accessibility at gene loci. Proceedings of the National Academy of Sciences. 118(42). 26 indexed citations
9.
Dey, Supravat, et al.. (2021). Noise suppression in stochastic genetic circuits using PID controllers. PLoS Computational Biology. 17(7). e1009249–e1009249. 14 indexed citations
10.
Dey, Supravat & Abhyudai Singh. (2021). Diverse role of decoys on emergence and precision of oscillations in a biomolecular clock. Biophysical Journal. 120(24). 5564–5574. 3 indexed citations
11.
Dey, Supravat, Mohammad Soltani, & Abhyudai Singh. (2020). Enhancement of gene expression noise from transcription factor binding to genomic decoy sites. Scientific Reports. 10(1). 9126–9126. 15 indexed citations
12.
Dey, Supravat & Abhyudai Singh. (2020). Genomic decoy sites enhance the oscillatory regime of a biomolecular clock. 5002–5007. 1 indexed citations
13.
Dey, Supravat, et al.. (2020). Coarsening dynamics in the Vicsek model of active matter. The European Physical Journal E. 43(2). 10–10. 11 indexed citations
14.
Kannoly, Sherin, et al.. (2020). Optimum Threshold Minimizes Noise in Timing of Intracellular Events. iScience. 23(6). 101186–101186. 20 indexed citations
15.
Miura, Michi, et al.. (2019). Kinetics of HTLV-1 reactivation from latency quantified by single-molecule RNA FISH and stochastic modelling. PLoS Pathogens. 15(11). e1008164–e1008164. 28 indexed citations
16.
Dey, Supravat & Abhyudai Singh. (2019). Stochastic analysis of feedback control by molecular sequestration. 4466–4471. 3 indexed citations
17.
Dey, Supravat, et al.. (2018). Role of spatial heterogeneity in the collective dynamics of cilia beating in a minimal one-dimensional model. Physical review. E. 97(1). 12403–12403. 4 indexed citations
18.
Dey, Supravat, et al.. (2017). Effect of transcription factor resource sharing on gene expression noise. PLoS Computational Biology. 13(4). e1005491–e1005491. 34 indexed citations
19.
Cavagna, Andrea, Lorenzo Del Castello, Supravat Dey, et al.. (2015). Short-range interactions versus long-range correlations in bird flocks. Physical Review E. 92(1). 12705–12705. 20 indexed citations
20.
Dey, Supravat, Dibyendu Das, & R. Rajesh. (2012). Spatial Structures and Giant Number Fluctuations in Models of Active Matter. Physical Review Letters. 108(23). 238001–238001. 63 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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