Samrat Chatterjee

3.6k total citations
88 papers, 793 citations indexed

About

Samrat Chatterjee is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Samrat Chatterjee has authored 88 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 25 papers in Public Health, Environmental and Occupational Health and 20 papers in Genetics. Recurrent topics in Samrat Chatterjee's work include Mathematical and Theoretical Epidemiology and Ecology Models (22 papers), Evolution and Genetic Dynamics (16 papers) and Bioinformatics and Genomic Networks (14 papers). Samrat Chatterjee is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (22 papers), Evolution and Genetic Dynamics (16 papers) and Bioinformatics and Genomic Networks (14 papers). Samrat Chatterjee collaborates with scholars based in India, Italy and United States. Samrat Chatterjee's co-authors include Joydev Chattopadhyay, Ezio Venturino, Joydev Chattopadhyay, Kanury V. S. Rao, Nandadulal Bairagi, Krishna Pada Das, Samares Pal, Marco Isaia, Subhendu Chakraborty and Venkatasamy Manivel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Samrat Chatterjee

80 papers receiving 755 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samrat Chatterjee India 16 330 247 171 115 113 88 793
Priti Kumar Roy India 16 397 1.2× 221 0.9× 73 0.4× 253 2.2× 110 1.0× 90 834
Yongfeng Li China 18 394 1.2× 210 0.9× 214 1.3× 187 1.6× 73 0.6× 56 1.3k
Lan Zou China 18 514 1.6× 251 1.0× 167 1.0× 303 2.6× 63 0.6× 61 1.2k
Ram Rup Sarkar India 21 1.1k 3.3× 428 1.7× 367 2.1× 447 3.9× 86 0.8× 65 1.7k
Tao Feng China 19 649 2.0× 466 1.9× 270 1.6× 487 4.2× 24 0.2× 76 1.4k
Joaquim Valls Spain 16 121 0.4× 174 0.7× 137 0.8× 32 0.3× 56 0.5× 36 633
Sandip Banerjee India 16 394 1.2× 242 1.0× 186 1.1× 305 2.7× 24 0.2× 80 832
Deepanjan Bhattacharya India 15 189 0.6× 126 0.5× 160 0.9× 31 0.3× 24 0.2× 99 633

Countries citing papers authored by Samrat Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Samrat Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samrat Chatterjee

This figure shows the co-authorship network connecting the top 25 collaborators of Samrat Chatterjee. A scholar is included among the top collaborators of Samrat Chatterjee 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 Samrat Chatterjee. Samrat Chatterjee 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.
Chatterjee, Samrat, et al.. (2024). HistoSPACE: Histology-inspired spatial transcriptome prediction and characterization engine. Methods. 232. 107–114. 1 indexed citations
2.
3.
Sarmah, Dipanka Tanu, et al.. (2024). Exploration of functional relations among differentially co-expressed genes identifies regulators in glioblastoma. Computational Biology and Chemistry. 109. 108024–108024.
4.
Gupta, Sakshi, et al.. (2023). Quantitative analysis of the bioenergetics of Mycobacterium tuberculosis along with Glyoxylate cycle as a drug target under inhibition of enzymes using Petri net. Computational Biology and Chemistry. 104. 107828–107828. 1 indexed citations
5.
Sarmah, Dipanka Tanu, et al.. (2023). A data-driven multilayer approach for the identification of potential therapeutic targets in non-alcoholic steatohepatitis. Physica A Statistical Mechanics and its Applications. 624. 128955–128955. 1 indexed citations
6.
Chatterjee, Samrat, et al.. (2023). Bistability regulates TNFR2-mediated survival and death of T-regulatory cells. Journal of Biological Physics. 49(1). 95–119. 2 indexed citations
7.
Sarmah, Dipanka Tanu, et al.. (2023). Identification of critical autophagy-related proteins in diabetic retinopathy: A multi-dimensional computational study. Gene. 866. 147339–147339. 5 indexed citations
8.
Sarmah, Dipanka Tanu, et al.. (2022). Bidirectional regulation between AP-1 and SUMOylation pathway genes modulates inflammatory signaling during Salmonella infection. Journal of Cell Science. 135(16). 2 indexed citations
9.
Chattopadhyay, Joydev, et al.. (2022). Understanding noise in cell signalling in the prospect of drug-targets. Journal of Theoretical Biology. 555. 111298–111298. 3 indexed citations
10.
Gupta, Ankur, et al.. (2021). Genome scale metabolic model driven strategy to delineate host response to Mycobacterium tuberculosis infection. Molecular Omics. 17(2). 296–306. 2 indexed citations
11.
Bairagi, Nandadulal, et al.. (2021). Exploring gene knockout strategies to identify potential drug targets using genome-scale metabolic models. Scientific Reports. 11(1). 213–213. 20 indexed citations
12.
Sarmah, Dipanka Tanu, Nandadulal Bairagi, & Samrat Chatterjee. (2021). The interplay between DNA damage and autophagy in lung cancer: A mathematical study. Biosystems. 206. 104443–104443. 6 indexed citations
13.
Chatterjee, Samrat, et al.. (2020). Covid-19 Transmission Dynamics During the Unlock Phase and Significance of Testing. Journal of Vaccines & Vaccination. 11(6). 1–11. 2 indexed citations
14.
Kumar, Ajay, et al.. (2017). Restoring calcium homeostasis in diabetic cardiomyocytes: an investigation through mathematical modelling. Molecular BioSystems. 13(10). 2056–2068. 6 indexed citations
15.
Bairagi, Nandadulal, et al.. (2015). Coupling calcium dynamics and mitochondrial bioenergetic: an in silico study to simulate cardiomyocyte dysfunction. Molecular BioSystems. 12(3). 806–817. 6 indexed citations
16.
Chattopadhyay, Joydev, Ezio Venturino, & Samrat Chatterjee. (2012). Aggregation of toxin-producing phytoplankton acts as a defence mechanism – a model-based study. Mathematical and Computer Modelling of Dynamical Systems. 19(2). 159–174. 6 indexed citations
17.
Abkowitz, Mark & Samrat Chatterjee. (2012). Regional Disaster Risk: Assessment and Mitigation Concepts in an All-Hazards Context. Journal of Homeland Security and Emergency Management. 9(1). 3 indexed citations
18.
Chatterjee, Samrat & Dhiraj Kumar. (2011). Unraveling the Design Principle for Motif Organization in Signaling Networks. PLoS ONE. 6(12). e28606–e28606. 3 indexed citations
19.
Jamal, Mohammad Sarwar, et al.. (2010). Defining the antigen receptor-dependent regulatory network that induces arrest of cycling immature B-lymphocytes. BMC Systems Biology. 4(1). 169–169. 2 indexed citations
20.
Chakraborty, Subhendu, Samrat Chatterjee, Ezio Venturino, & Joydev Chattopadhyay. (2007). Recurring Plankton Bloom Dynamics Modeled via Toxin-Producing Phytoplankton. Journal of Biological Physics. 33(4). 271–290. 46 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Priti Kumar Roy Breakdown of academic impact, for papers by Yongfeng Li Breakdown of academic impact, for papers by Lan Zou Breakdown of academic impact, for papers by Ram Rup Sarkar Breakdown of academic impact, for papers by Tao Feng Breakdown of academic impact, for papers by Joaquim Valls Breakdown of academic impact, for papers by Sandip Banerjee Breakdown of academic impact, for papers by Deepanjan Bhattacharya
Rankless by CCL
2026