Supratim Datta

1.9k total citations
45 papers, 1.4k citations indexed

About

Supratim Datta is a scholar working on Molecular Biology, Biomedical Engineering and Biotechnology. According to data from OpenAlex, Supratim Datta has authored 45 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 27 papers in Biomedical Engineering and 15 papers in Biotechnology. Recurrent topics in Supratim Datta's work include Biofuel production and bioconversion (26 papers), Enzyme Catalysis and Immobilization (17 papers) and Enzyme Production and Characterization (14 papers). Supratim Datta is often cited by papers focused on Biofuel production and bioconversion (26 papers), Enzyme Catalysis and Immobilization (17 papers) and Enzyme Production and Characterization (14 papers). Supratim Datta collaborates with scholars based in India, United States and United Kingdom. Supratim Datta's co-authors include Rowena G. Matthews, Sushant K. Sinha, Markos Koutmos, Blake A. Simmons, Bradley M. Holmes, Harvey W. Blanch, Dean Dibble, Rajat Sapra, Joshua I. Park and Kenneth L. Sale and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Analytical Chemistry.

In The Last Decade

Supratim Datta

42 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Supratim Datta India 22 846 762 285 180 159 45 1.4k
Jiayi Wang China 21 242 0.3× 129 0.2× 60 0.2× 64 0.4× 240 1.5× 86 1.4k
Isabelle Meynial‐Salles France 28 1.3k 1.5× 946 1.2× 96 0.3× 74 0.4× 240 1.5× 37 2.4k
Diego Carballares Spain 22 1.5k 1.8× 435 0.6× 207 0.7× 216 1.2× 153 1.0× 46 1.7k
Suwan Myung United States 14 722 0.9× 408 0.5× 142 0.5× 64 0.4× 95 0.6× 14 994
Sizhu Ren China 13 632 0.7× 214 0.3× 64 0.2× 91 0.5× 283 1.8× 20 1.0k
Ranjitha Singh South Korea 12 554 0.7× 205 0.3× 106 0.4× 56 0.3× 186 1.2× 15 1.0k
David F. Iwig United States 14 400 0.5× 89 0.1× 36 0.1× 132 0.7× 84 0.5× 17 831
Naoji Kubota Japan 18 481 0.6× 157 0.2× 72 0.3× 368 2.0× 56 0.4× 77 1.2k
Sumitra Datta India 4 709 0.8× 283 0.4× 179 0.6× 139 0.8× 144 0.9× 4 1.1k
Chunling Ma China 19 597 0.7× 188 0.2× 228 0.8× 24 0.1× 121 0.8× 74 1.2k

Countries citing papers authored by Supratim Datta

Since Specialization
Citations

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

Fields of papers citing papers by Supratim Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Supratim Datta

This figure shows the co-authorship network connecting the top 25 collaborators of Supratim Datta. A scholar is included among the top collaborators of Supratim Datta 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 Supratim Datta. Supratim Datta 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.
More, Yogeshwar D., Saumitra Saha, Ashok Kumar Mahato, et al.. (2025). Coprecipitated Enzyme-Encapsulated Covalent Organic Frameworks for Biocatalysis. Journal of the American Chemical Society. 147(27). 23724–23732. 2 indexed citations
2.
Sinha, Sushant K., et al.. (2025). Identification of a thermostable GH6 family cellulase from chaetomium thermophilum exhibiting high cellobiose and ionic liquid tolerance. Enzyme and Microbial Technology. 192. 110755–110755.
3.
Manna, Bharat, et al.. (2023). Elucidating the Ionic Liquid-Induced Mixed Inhibition of GH1 β-Glucosidase H0HC94. The Journal of Physical Chemistry B. 127(39). 8406–8416. 1 indexed citations
4.
Mahato, Ashok Kumar, et al.. (2023). Covalent Organic Frameworks for the Purification of Recombinant Enzymes and Heterogeneous Biocatalysis. Journal of the American Chemical Society. 146(1). 858–867. 45 indexed citations
5.
Dey, Kaushik, Ashok Kumar Mahato, Arun Torris, et al.. (2023). Hierarchical covalent organic framework-foam for multi-enzyme tandem catalysis. Chemical Science. 14(24). 6643–6653. 45 indexed citations
6.
7.
Datta, Supratim, Arpan Deyasi, & Angsuman Sarkar. (2022). Analytical Investigation of Gate-to-Drain Leakage Current for Junctionless Accumulation-Mode MOSFET. 6. 607–610. 1 indexed citations
8.
Manna, Bharat, et al.. (2021). Role of Conformational Change and Glucose Binding Sites in the Enhanced Glucose Tolerance of Agrobacterium tumefaciens 5A GH1 β-Glucosidase Mutants. The Journal of Physical Chemistry B. 125(33). 9402–9416. 11 indexed citations
9.
10.
Sinha, Sushant K., et al.. (2020). Elucidating the regulation of glucose tolerance in a β-glucosidase from Halothermothrix orenii by active site pocket engineering and computational analysis. International Journal of Biological Macromolecules. 156. 621–632. 19 indexed citations
11.
Datta, Supratim, et al.. (2020). Engineering of a highly thermostable endoglucanase from the GH7 family of Bipolaris sorokiniana for higher catalytic efficiency. Applied Microbiology and Biotechnology. 104(9). 3935–3945. 18 indexed citations
12.
Sinha, Sushant K., et al.. (2019). Understanding the glucose tolerance of an archaeon β-glucosidase from Thermococcus sp.. Carbohydrate Research. 486. 107835–107835. 17 indexed citations
13.
Sinha, Sushant K., et al.. (2018). Recyclable Thermoresponsive Polymer−β-Glucosidase Conjugate with Intact Hydrolysis Activity. Biomacromolecules. 19(6). 2286–2293. 36 indexed citations
14.
15.
Datta, Supratim, et al.. (2017). Understanding the role of residues around the active site tunnel towards generating a glucose-tolerant β-glucosidase from Agrobacterium tumefaciens 5A. Protein Engineering Design and Selection. 30(7). 523–530. 24 indexed citations
16.
Gupta, Neha, et al.. (2016). Using the β-glucosidase catalyzed reaction product glucose to improve the ionic liquid tolerance of β-glucosidases. Biotechnology for Biofuels. 9(1). 72–72. 42 indexed citations
17.
Sinha, Sushant K. & Supratim Datta. (2016). β-Glucosidase from the hyperthermophilic archaeon Thermococcus sp. is a salt-tolerant enzyme that is stabilized by its reaction product glucose. Applied Microbiology and Biotechnology. 100(19). 8399–8409. 52 indexed citations
18.
Mondal, Rakesh, Supratim Datta, Abhijit Chowdhury, & Madhumita Nandi. (2015). Prolonged hepatitis due to hepatitis A virus infection in children. Journal of Pediatric Infectious Diseases. 3(1). 63–67.
19.
Datta, Supratim, et al.. (2012). Rare association of central pontine myelinolysis with infantile tremor syndrome. Annals of Indian Academy of Neurology. 15(1). 48–48. 6 indexed citations
20.
Park, Joshua I., Michael S. Kent, Supratim Datta, et al.. (2011). Enzymatic hydrolysis of cellulose by the cellobiohydrolase domain of CelB from the hyperthermophilic bacterium Caldicellulosiruptor saccharolyticus. Bioresource Technology. 102(10). 5988–5994. 33 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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