Chinmaya Gupta

489 total citations
12 papers, 328 citations indexed

About

Chinmaya Gupta is a scholar working on Molecular Biology, Mathematical Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, Chinmaya Gupta has authored 12 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Mathematical Physics and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Chinmaya Gupta's work include Mathematical Dynamics and Fractals (6 papers), Chaos control and synchronization (5 papers) and Gene Regulatory Network Analysis (4 papers). Chinmaya Gupta is often cited by papers focused on Mathematical Dynamics and Fractals (6 papers), Chaos control and synchronization (5 papers) and Gene Regulatory Network Analysis (4 papers). Chinmaya Gupta collaborates with scholars based in United States, Italy and Canada. Chinmaya Gupta's co-authors include William Ott, Matthew R. Bennett, Krešimir Josić́, Ye Chen, Joanne M. L. Ho, David L. Shis, Daniel S. Wagner, Matthew Nicol, José M. López and Mark Holland and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Chinmaya Gupta

12 papers receiving 318 citations

Peers

Chinmaya Gupta

MB

GENET

MP

SNP

BE

Marco Zamparo Italy

Kasper Astrup Eriksen Sweden

Stephen Smith United Kingdom

Lea Popovic Canada

Supravat Dey United States

Mark Pernarowski United States

Nicolas Levernier France

Juraj Szavits-Nossan United Kingdom

Andrés Moreira Chile

Stefan Hellander Sweden

Marco Zamparo Italy

Chinmaya Gupta

299 ×1.3

MB

42 ×0.6

GENET

13 ×0.2

MP

39 ×0.7

SNP

15 ×0.4

BE

Citations per year, relative to Chinmaya Gupta Chinmaya Gupta (= 1×) peers Marco Zamparo

Countries citing papers authored by Chinmaya Gupta

Since Specialization

Citations

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

Fields of papers citing papers by Chinmaya Gupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chinmaya Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Chinmaya Gupta. A scholar is included among the top collaborators of Chinmaya Gupta 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 Chinmaya Gupta. Chinmaya Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Chen, Ye, Joanne M. L. Ho, David L. Shis, et al.. (2017). Tuning the dynamic range of bacterial promoters regulated by ligand-inducible transcription factors. Nature Communications. 9(1). 64–64. 131 indexed citations

2.

Gupta, Chinmaya, et al.. (2015). Timing and Variability of Galactose Metabolic Gene Activation Depend on the Rate of Environmental Change. PLoS Computational Biology. 11(7). e1004399–e1004399. 7 indexed citations

3.

Gupta, Chinmaya, Andrew J. Hirning, William Ott, et al.. (2014). Engineered temperature compensation in a synthetic genetic clock. Proceedings of the National Academy of Sciences. 111(3). 972–977. 52 indexed citations

4.

Gupta, Chinmaya, Mauro Ferrari, Marco Agostini, et al.. (2014). Biomarker Signature Discovery from Mass Spectrometry Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 11(4). 766–772. 9 indexed citations

5.

Gupta, Chinmaya, José M. López, William Ott, Krešimir Josić́, & Matthew R. Bennett. (2013). Transcriptional Delay Stabilizes Bistable Gene Networks. Physical Review Letters. 111(5). 58104–58104. 50 indexed citations

6.

Gupta, Chinmaya, William Ott, & Andrei Török. (2013). Memory loss for time-dependent piecewise expanding systems in higher dimension. Mathematical Research Letters. 20(1). 141–161. 10 indexed citations

7.

Gupta, Chinmaya, Mark Holland, & Matthew Nicol. (2011). Extreme value theory and return time statistics for dispersing billiard maps and flows, Lozi maps and Lorenz-like maps. Ergodic Theory and Dynamical Systems. 31(5). 1363–1390. 28 indexed citations

8.

Gupta, Chinmaya, Matthew Nicol, & William Ott. (2010). A Borel–Cantelli lemma for nonuniformly expanding dynamical systems. Nonlinearity. 23(8). 1991–2008. 13 indexed citations

9.

Gupta, Chinmaya. (2010). Statistical properties of chaotic dynamical systems: Extreme value theory and Borel-Cantelli lemmas. 1 indexed citations

10.

Gupta, Chinmaya, Mark Holland, & Matthew Nicol. (2009). EXTREME VALUE THEORY FOR LORENZ MAPS AND FLOWS, HEN´ ON-LIKE DIFFEOMORPHISMS AND A CLASS OF HYPERBOLIC SYSTEMS WITH SINGULARITIES. 1 indexed citations

11.

Gupta, Chinmaya. (2009). Extreme-value distributions for some classes of non-uniformly partially hyperbolic dynamical systems. Ergodic Theory and Dynamical Systems. 30(3). 757–771. 16 indexed citations

12.

Gupta, Chinmaya, et al.. (1977). Isolation and characterization of the biotin genes of Escherichia coli K-12. Gene. 1(5-6). 331–345. 10 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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