Sujoy K. Das

6.8k total citations · 2 hit papers
105 papers, 5.7k citations indexed

About

Sujoy K. Das is a scholar working on Materials Chemistry, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Sujoy K. Das has authored 105 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Materials Chemistry, 30 papers in Biomedical Engineering and 22 papers in Biomaterials. Recurrent topics in Sujoy K. Das's work include Nanoparticles: synthesis and applications (20 papers), Adsorption and biosorption for pollutant removal (15 papers) and Graphene and Nanomaterials Applications (14 papers). Sujoy K. Das is often cited by papers focused on Nanoparticles: synthesis and applications (20 papers), Adsorption and biosorption for pollutant removal (15 papers) and Graphene and Nanomaterials Applications (14 papers). Sujoy K. Das collaborates with scholars based in India, Australia and Ireland. Sujoy K. Das's co-authors include Arun K. Guha, Thanusu Parandhaman, Baskaran Ramalingam, Akhil R. Das, Arun K. Nandi, Sanjoy Mondal, Enrico Marsili, Asit Baran Mandal, G.C. Morris and Md. Motiar R. Khan and has published in prestigious journals such as Environmental Science & Technology, ACS Nano and PLoS ONE.

In The Last Decade

Sujoy K. Das

103 papers receiving 5.5k citations

Hit Papers

Antibacterial Effects of Biosynthesized Silver Nanopartic... 2016 2026 2019 2022 2016 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sujoy K. Das India 41 2.5k 1.6k 1.3k 1.0k 860 105 5.7k
Xuepin Liao China 43 1.9k 0.7× 1.3k 0.8× 1.1k 0.8× 909 0.9× 1.1k 1.3× 157 5.8k
Jing Hu China 33 2.2k 0.9× 1.2k 0.8× 1.2k 0.9× 1.3k 1.3× 774 0.9× 133 5.7k
Xin Yang China 38 1.9k 0.7× 1.7k 1.0× 1.1k 0.8× 1.1k 1.1× 443 0.5× 150 6.0k
Ashok M. Raichur India 46 3.1k 1.2× 2.3k 1.4× 963 0.7× 536 0.5× 1.5k 1.8× 163 7.5k
Yue Ma China 47 2.4k 1.0× 1.8k 1.1× 993 0.7× 737 0.7× 747 0.9× 153 6.9k
Sreenath Bolisetty Switzerland 41 1.8k 0.7× 1.2k 0.7× 1.2k 0.9× 1.2k 1.1× 1.5k 1.8× 83 6.0k
Kishore M. Paknikar India 43 3.6k 1.4× 2.7k 1.7× 1.1k 0.8× 704 0.7× 1.4k 1.6× 127 8.4k
Vinod V.T. Padil Czechia 41 2.0k 0.8× 1.5k 1.0× 2.0k 1.5× 617 0.6× 1.1k 1.2× 130 6.1k
Mansor Bin Ahmad Malaysia 43 3.3k 1.3× 2.0k 1.2× 978 0.7× 1.0k 1.0× 1.6k 1.8× 120 6.8k
Ana L. Daniel‐da‐Silva Portugal 38 1.2k 0.5× 1.1k 0.7× 775 0.6× 582 0.6× 706 0.8× 130 4.0k

Countries citing papers authored by Sujoy K. Das

Since Specialization
Citations

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

Fields of papers citing papers by Sujoy K. Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sujoy K. Das. 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 Sujoy K. Das. The network helps show where Sujoy K. Das may publish in the future.

Co-authorship network of co-authors of Sujoy K. Das

This figure shows the co-authorship network connecting the top 25 collaborators of Sujoy K. Das. A scholar is included among the top collaborators of Sujoy K. Das 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 Sujoy K. Das. Sujoy K. Das 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.
Choudhary, Priyadarshani, et al.. (2024). Antibacterial and safe chitosan–graphene hydrogel films: a promising nanotherapeutic for Staphylococcus aureus wound infections. Biomaterials Science. 13(3). 639–658. 6 indexed citations
5.
Mukherjee, Arpita, et al.. (2023). Nanotechnology based therapeutic approaches: an advanced strategy to target the biofilm of ESKAPE pathogens. Materials Advances. 4(12). 2544–2572. 22 indexed citations
6.
Gaonkar, Raghuvir H., et al.. (2022). Inhibitory potential of iRGD peptide-conjugated garcinol-loaded biodegradable nanoparticles in rat colorectal carcinoma. Biomaterials Advances. 134. 112714–112714. 14 indexed citations
7.
Sampath, Srinivasan, et al.. (2021). Incorporations of gold, silver and carbon nanomaterials to kombucha-derived bacterial cellulose: Development of antibacterial leather-like materials. Journal of the Indian Chemical Society. 99(1). 100278–100278. 18 indexed citations
8.
Mondal, Sanjoy, Sujoy K. Das, & Arun K. Nandi. (2020). A review on recent advances in polymer and peptide hydrogels. Soft Matter. 16(6). 1404–1454. 339 indexed citations breakdown →
9.
Das, Sujoy K., Radhakanta Ghosh, Debasish Mandal, & Arun K. Nandi. (2019). Self-Assembled Nanostructured MoS2 Quantum Dot Polyaniline Hybrid Gels for High Performance Solid State Flexible Supercapacitors. ACS Applied Energy Materials. 2(9). 6642–6654. 43 indexed citations
10.
Shit, Arnab, et al.. (2019). Effect of molecular packing on modulation of electronic properties of organic donor–acceptor hybrid gels. Colloids and Surfaces A Physicochemical and Engineering Aspects. 577. 480–492. 7 indexed citations
11.
Das, Sujoy K., Radhakanta Ghosh, Parimal Routh, et al.. (2018). Conductive MoS2 Quantum Dot/Polyaniline Aerogel for Enhanced Electrocatalytic Hydrogen Evolution and Photoresponse Properties. ACS Applied Nano Materials. 1(5). 2306–2316. 44 indexed citations
12.
Mondal, Sanjoy, Partha Bairi, Sujoy K. Das, & Arun K. Nandi. (2018). Phase selective organogel from an imine based gelator for use in oil spill recovery. Journal of Materials Chemistry A. 7(1). 381–392. 61 indexed citations
13.
Das, Sujoy K., Priyadarshi Chakraborty, Radhakanta Ghosh, et al.. (2017). Folic Acid-Polyaniline Hybrid Hydrogel for Adsorption/Reduction of Chromium(VI) and Selective Adsorption of Anionic Dye from Water. ACS Sustainable Chemistry & Engineering. 5(10). 9325–9337. 118 indexed citations
14.
Das, Sujoy K. & Asit Baran Mandal. (2015). Green Synthesis of Nanomaterials with Special Reference to Environmental and Biomedical Applications. Current Science. 108(11). 1999–2002. 5 indexed citations
15.
Das, Sujoy K., et al.. (2015). Development and characterization extended release gastroretentive drug delivery. Journal of Pharmacy Research. 1557–1560. 1 indexed citations
16.
Das, Sujoy K., Amit Roy, & Prabhat Kumar Das. (2014). Ethnomedicinal Uses of Plants for Wound Healing in Khargone District, MP: A Survey over Nimari Communities. Research Journal of Pharmacology and Pharmacodynamics. 6(1). 21–29. 3 indexed citations
17.
Das, Sujoy K., Md. Motiar R. Khan, Thanusu Parandhaman, et al.. (2013). Nano-silica fabricated with silver nanoparticles: antifouling adsorbent for efficient dye removal, effective water disinfection and biofouling control. Nanoscale. 5(12). 5549–5549. 199 indexed citations
18.
Ghosh, Subrata, et al.. (2009). Adsorption behavior of lindane on Rhizopus oryzae biomass: Physico-chemical studies. Journal of Hazardous Materials. 172(1). 485–490. 35 indexed citations
19.
Das, Sujoy K., et al.. (2008). Adsorption behavior of copper ions on Mucor rouxii biomass through microscopic and FTIR analysis. Colloids and Surfaces B Biointerfaces. 63(1). 138–145. 68 indexed citations
20.
Das, Sujoy K., et al.. (2007). Biosorption of cadmium and nickel by functionalized husk of Lathyrus sativus. Colloids and Surfaces B Biointerfaces. 62(2). 173–179. 83 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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