Sudip Chakraborty

1.4k total citations
47 papers, 1.1k citations indexed

About

Sudip Chakraborty is a scholar working on Molecular Biology, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Sudip Chakraborty has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Materials Chemistry and 11 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Sudip Chakraborty's work include Protein Structure and Dynamics (13 papers), Spectroscopy and Quantum Chemical Studies (9 papers) and Enzyme Structure and Function (9 papers). Sudip Chakraborty is often cited by papers focused on Protein Structure and Dynamics (13 papers), Spectroscopy and Quantum Chemical Studies (9 papers) and Enzyme Structure and Function (9 papers). Sudip Chakraborty collaborates with scholars based in India, Australia and United States. Sudip Chakraborty's co-authors include Sanjoy Bandyopadhyay, Biman Bagchi, Prabal K. Maiti, Hemant Kumar, Chandan Dasgupta, Sudipta Kumar Sinha, Sundaram Balasubramanian, Jnanojjal Chanda, C. Retna Raj and P. S. Aithal and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Sudip Chakraborty

42 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sudip Chakraborty India 17 409 319 310 210 168 47 1.1k
Haisheng Ren China 18 196 0.5× 202 0.6× 339 1.1× 138 0.7× 168 1.0× 60 1.0k
Ling Yue China 20 363 0.9× 134 0.4× 451 1.5× 217 1.0× 280 1.7× 64 1.1k
Konstantin Balashev Bulgaria 17 357 0.9× 196 0.6× 234 0.8× 180 0.9× 100 0.6× 57 987
Andrey I. Frolov Germany 16 300 0.7× 186 0.6× 245 0.8× 201 1.0× 222 1.3× 22 992
Shunli Chen China 23 272 0.7× 378 1.2× 420 1.4× 252 1.2× 231 1.4× 100 1.7k
Serdal Kırmızıaltın United States 26 869 2.1× 191 0.6× 569 1.8× 217 1.0× 80 0.5× 70 1.6k
Svetlana Yefimova Ukraine 19 156 0.4× 272 0.9× 428 1.4× 156 0.7× 137 0.8× 108 969
Shuwen Sun China 17 337 0.8× 187 0.6× 340 1.1× 612 2.9× 304 1.8× 50 1.6k
Kenichi Koizumi Japan 21 353 0.9× 325 1.0× 539 1.7× 174 0.8× 109 0.6× 63 1.4k
Qianyi Cheng United States 17 263 0.6× 134 0.4× 493 1.6× 181 0.9× 168 1.0× 56 1.0k

Countries citing papers authored by Sudip Chakraborty

Since Specialization
Citations

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

Fields of papers citing papers by Sudip Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudip Chakraborty

This figure shows the co-authorship network connecting the top 25 collaborators of Sudip Chakraborty. A scholar is included among the top collaborators of Sudip Chakraborty 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 Sudip Chakraborty. Sudip Chakraborty 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.
Chakraborty, Sudip, T. Basu, Rudra Sankar Dhar, et al.. (2025). Design Analysis and Optimization of a Twin-Core Double D-shaped Plasmonic Sensor for Detection of Wide-Range Refractive Index. Journal of Electronic Materials. 54(11). 9493–9500.
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Dhal, B. B., et al.. (2024). In-Silico scrutinization of (Al, Ga, B, Si, Ge, and P)-doped C60 in sensing EGCG: An application based DFT study. Computational and Theoretical Chemistry. 1244. 115001–115001. 2 indexed citations
4.
Chen, Renxun, Sudip Chakraborty, Yin Yao, et al.. (2024). Quorum sensing inhibiting dihydropyrrol-2-ones embedded polymer/graphene oxide nanocomposite waterborne antimicrobial coatings. Journal of Materials Chemistry B. 12(34). 8366–8375.
5.
Chakraborty, Sudip, Renxun Chen, Dennis Palms, et al.. (2024). The effect of immobilisation strategies on the ability of peptoids to reduce the adhesion of P. aeruginosa strains to contact lenses. Experimental Eye Research. 250. 110149–110149. 3 indexed citations
6.
Chakraborty, Sudip & P. S. Aithal. (2024). Let Us Manage BP Monitor Data Using WordPress Server and C#. International Journal of Case Studies in Business IT and Education. 1–9. 1 indexed citations
7.
Kaur, Simran, A.T. Krishnan, & Sudip Chakraborty. (2023). Recent advances and challenges of carbon nano onions (CNOs) for application in supercapacitor devices (SCDs). Journal of Energy Storage. 71. 107928–107928. 15 indexed citations
8.
Guan, Xinwei, Mohammed Fawaz, Ranjini Sarkar, et al.. (2023). S-doped C3N5 derived from thiadiazole for efficient photocatalytic hydrogen evolution. Journal of Materials Chemistry A. 11(24). 12837–12845. 59 indexed citations
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Chakraborty, Sudip & P. S. Aithal. (2023). Let Us Create Multiple IoT Device Controller Using AWS, ESP32 And C#. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
12.
Chakraborty, Sudip & P. S. Aithal. (2023). IoT-Based Industrial Debug Message Display Using AWS, ESP8266 And C#. International Journal of Management Technology and Social Sciences. 249–255. 8 indexed citations
13.
Chakraborty, Sudip & P. S. Aithal. (2023). Let Us Create An IoT Inside the AWS Cloud. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
14.
Chakraborty, Sudip, Iman Roohani, Cyrille Boyer, et al.. (2023). Electrostatic and Covalent Binding of an Antibacterial Polymer to Hydroxyapatite for Protection against Escherichia coli Colonization. Materials. 16(14). 5045–5045. 1 indexed citations
15.
Ganda, Sylvia, Sudip Chakraborty, Sharon L. Wong, et al.. (2023). Hierarchical assembly of tryptophan zipper peptides into stress-relaxing bioactive hydrogels. Nature Communications. 14(1). 6604–6604. 29 indexed citations
16.
Chakraborty, Sudip & P. S. Aithal. (2023). Automated Test Equipment Simulation In CoppeliaSim Using C# Over WebSocket. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
17.
Chakraborty, Sudip & P. S. Aithal. (2023). Let Us Create A Physical IoT Device Using AWS and ESP Module. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
18.
Chakraborty, Sudip & P. S. Aithal. (2023). Let Us Create Multiple IoT Device Controller Using AWS, ESP32 And C#. SSRN Electronic Journal.
19.
Chakraborty, Sudip, et al.. (2023). Micro-Solvation of Propofol in Propylene Glycol–Water Binary Mixtures: Molecular Dynamics Simulation Studies. The Journal of Physical Chemistry B. 127(51). 11011–11022. 2 indexed citations
20.
Chakraborty, Sudip & Sanjoy Bandyopadhyay. (2007). Correlation between the Dynamics of Hydrogen Bonds and the Local Density Reorganization in the Protein Hydration Layer. The Journal of Physical Chemistry B. 111(26). 7626–7630. 24 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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