Sandipan Chatterjee

3.4k total citations
64 papers, 2.6k citations indexed

About

Sandipan Chatterjee is a scholar working on Plant Science, Biomaterials and Molecular Biology. According to data from OpenAlex, Sandipan Chatterjee has authored 64 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 9 papers in Biomaterials and 8 papers in Molecular Biology. Recurrent topics in Sandipan Chatterjee's work include Adsorption and biosorption for pollutant removal (7 papers), Nanocomposite Films for Food Packaging (5 papers) and Diversity and Impact of Dance (4 papers). Sandipan Chatterjee is often cited by papers focused on Adsorption and biosorption for pollutant removal (7 papers), Nanocomposite Films for Food Packaging (5 papers) and Diversity and Impact of Dance (4 papers). Sandipan Chatterjee collaborates with scholars based in India, United Kingdom and Switzerland. Sandipan Chatterjee's co-authors include Arun K. Guha, Bishnu P. Chatterjee, Sudipta Chatterjee, Denise Nellen, Maximilien Murone, Barbara A. Froesch, Konrad Basler, Thomas Kramps, O Péter and Erich Brunner and has published in prestigious journals such as Cell, Journal of the American Chemical Society and Physical review. B, Condensed matter.

In The Last Decade

Sandipan Chatterjee

60 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandipan Chatterjee India 21 801 650 477 443 345 64 2.6k
Bruno Szpoganicz Brazil 30 671 0.8× 323 0.5× 771 1.6× 348 0.8× 174 0.5× 106 3.7k
Panpan Wu China 30 610 0.8× 519 0.8× 547 1.1× 289 0.7× 184 0.5× 142 2.9k
Hyun‐Jae Shin South Korea 29 666 0.8× 275 0.4× 240 0.5× 407 0.9× 218 0.6× 128 2.5k
Waseem A. Wani India 24 653 0.8× 534 0.8× 1.3k 2.8× 200 0.5× 378 1.1× 44 3.6k
Shun Yao China 28 519 0.6× 199 0.3× 370 0.8× 248 0.6× 174 0.5× 203 2.5k
João Alencar Pamphile Brazil 23 444 0.6× 741 1.1× 498 1.0× 1.1k 2.5× 122 0.4× 110 3.5k
Kisan M. Kodam India 32 303 0.4× 281 0.4× 437 0.9× 572 1.3× 296 0.9× 114 2.8k
Ragini Gupta India 29 409 0.5× 367 0.6× 685 1.4× 331 0.7× 122 0.4× 143 3.0k
Estrella Núñez‐Delicado Spain 35 1.2k 1.5× 182 0.3× 290 0.6× 816 1.8× 271 0.8× 103 3.5k
Laifu Zhong China 32 691 0.9× 171 0.3× 425 0.9× 463 1.0× 90 0.3× 56 2.7k

Countries citing papers authored by Sandipan Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Sandipan Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandipan Chatterjee

This figure shows the co-authorship network connecting the top 25 collaborators of Sandipan Chatterjee. A scholar is included among the top collaborators of Sandipan 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 Sandipan Chatterjee. Sandipan 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.
Michalkiewicz, Beata, et al.. (2024). Carbonaceous catalysts (biochar and activated carbon) from agricultural residues and their application in production of biodiesel: A review. Process Safety and Environmental Protection. 203. 759–788. 22 indexed citations
2.
Chatterjee, Sandipan, Arpit Kumar Sharma, & Pramod Singh Rathore. (2024). Advancing Skin Cancer Detection: Deep Learning Approaches for Enhanced Diagnostic Accuracy. 1–5.
3.
Majumdar, D., et al.. (2024). Antibiotic Indexing and Heavy Metal Reduction Potential of Four Multi-metal Tolerant Bacterial Strains in Real-Time Sanitary Landfill Leachate Matrix. Bulletin of Environmental Contamination and Toxicology. 113(1). 3–3. 1 indexed citations
4.
5.
Chatterjee, Sandipan, et al.. (2024). Beyond Textbooks: Interactive Learning of Biomechanical Principles of Osteosynthesis with an Online Tool for Orthopaedic Residents. Journal of surgical education. 82(1). 103350–103350.
6.
Chatterjee, Sandipan, et al.. (2023). Utilization of fleshing waste of leather processing for the growth of zygomycetes: A new substrate for economical production of bio-polymer chitosan. Journal of Environmental Management. 343. 118141–118141. 4 indexed citations
7.
Das, Rima, et al.. (2023). p38 MAPK inhibitor SB203580 enhances anticancer activity of PARP inhibitor olaparib in a synergistic way on non-small cell lung carcinoma A549 cells. Biochemical and Biophysical Research Communications. 670. 55–62. 6 indexed citations
8.
Chatterjee, Sandipan, et al.. (2023). Role of Plants for Evaluation of Air Pollution Tolerance Index on the Basis of Some Biochemical Parameters: A Concise Review. Ecology Environment and Conservation. 29. 27–30. 1 indexed citations
9.
Singh, Pradyumna Kumar, Debasis Chakrabarty, Sanjay Dwivedi, et al.. (2021). Nitric oxide-mediated alleviation of arsenic stress involving metalloid detoxification and physiological responses in rice (Oryza sativa L.). Environmental Pollution. 297. 118694–118694. 20 indexed citations
10.
Chatterjee, Sandipan, Arun K. Guha, & Bishnu P. Chatterjee. (2019). Evaluation of quantity and quality of chitosan produce from Rhizopus oryzae by utilizing food product processing waste whey and molasses. Journal of Environmental Management. 251. 109565–109565. 20 indexed citations
11.
Chatterjee, Sandipan, Rangeet Mitra, Debasis Samanta, et al.. (2018). Scalable Synthesis of Hide Substance–Chitosan–Hydroxyapatite: Novel Biocomposite from Industrial Wastes and Its Efficiency in Dye Removal. ACS Omega. 3(9). 11486–11496. 41 indexed citations
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Chatterjee, Sandipan, et al.. (2015). Indian Classical Dancing: An Approach for Obesity Management. 3(1). 29–34. 1 indexed citations
15.
Tripathi, Rudra Deo, Preeti Tripathi, Sanjay Dwivedi, et al.. (2012). Arsenomics: omics of arsenic metabolism in plants. Frontiers in Physiology. 3. 275–275. 113 indexed citations
16.
Chatterjee, Sandipan, Shatakshi Srivastava, Niharika Singh, et al.. (2010). Comprehensive metabolic fingerprinting of Withania somnifera leaf and root extracts. Phytochemistry. 71(10). 1085–1094. 169 indexed citations
17.
Dubey, Sonali, Prashant Misra, Sanjay Dwivedi, et al.. (2010). Transcriptomic and metabolomic shifts in rice roots in response to Cr (VI) stress. BMC Genomics. 11(1). 648–648. 147 indexed citations
18.
Chatterjee, Sandipan, Sudipta Chatterjee, Bishnu P. Chatterjee, & Arun K. Guha. (2007). Influence of plant growth hormones on the growth of Mucor rouxii and chitosan production. Microbiological Research. 164(3). 347–351. 13 indexed citations
19.
Das, Sujoy K., et al.. (2006). Adsorption of cadmium on husk of Lathyrus sativus: Physico-chemical study. Colloids and Surfaces B Biointerfaces. 50(1). 49–54. 87 indexed citations
20.
Kramps, Thomas, O Péter, Erich Brunner, et al.. (2002). Wnt/Wingless Signaling Requires BCL9/Legless-Mediated Recruitment of Pygopus to the Nuclear β-Catenin-TCF Complex. Cell. 109(1). 47–60. 463 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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