Sisir Nandi

1.2k total citations
98 papers, 829 citations indexed

About

Sisir Nandi is a scholar working on Computational Theory and Mathematics, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Sisir Nandi has authored 98 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computational Theory and Mathematics, 31 papers in Molecular Biology and 24 papers in Organic Chemistry. Recurrent topics in Sisir Nandi's work include Computational Drug Discovery Methods (43 papers), Synthesis and biological activity (21 papers) and Drug Solubulity and Delivery Systems (8 papers). Sisir Nandi is often cited by papers focused on Computational Drug Discovery Methods (43 papers), Synthesis and biological activity (21 papers) and Drug Solubulity and Delivery Systems (8 papers). Sisir Nandi collaborates with scholars based in India, United Kingdom and United States. Sisir Nandi's co-authors include Manish C. Bagchi, Harekrishna Roy, Anil K. Saxena, Asmita Samadder, Mridula Saxena, Marjan Vračko, Mohit Kumar, Sarfaraz Ahmed, Anil K. Saxena and Aaruni Saxena and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Colloids and Surfaces A Physicochemical and Engineering Aspects.

In The Last Decade

Sisir Nandi

94 papers receiving 803 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sisir Nandi India 15 290 242 228 99 86 98 829
Prafulla B. Choudhari India 19 315 1.1× 202 0.8× 695 3.0× 77 0.8× 95 1.1× 106 1.2k
Rajesh B. Patil India 17 442 1.5× 261 1.1× 255 1.1× 54 0.5× 152 1.8× 89 1.2k
Sarfaraz Alam India 18 384 1.3× 222 0.9× 453 2.0× 42 0.4× 47 0.5× 40 1.0k
Manikanta Murahari India 23 468 1.6× 270 1.1× 334 1.5× 140 1.4× 97 1.1× 51 1.2k
Shopnil Akash Bangladesh 19 469 1.6× 187 0.8× 165 0.7× 29 0.3× 95 1.1× 91 1.2k
Ram K. Agrawal India 17 191 0.7× 136 0.6× 360 1.6× 151 1.5× 65 0.8× 47 838
Nizar A. Al‐Shar’i Jordan 16 331 1.1× 105 0.4× 144 0.6× 60 0.6× 114 1.3× 48 650
K. Venkateswara Swamy India 21 533 1.8× 184 0.8× 293 1.3× 53 0.5× 85 1.0× 57 1.3k
Edeildo Ferreira da Silva‐Júnior Brazil 23 451 1.6× 188 0.8× 391 1.7× 30 0.3× 126 1.5× 93 1.3k
Mahmoud A. El Hassab Egypt 21 512 1.8× 200 0.8× 448 2.0× 63 0.6× 107 1.2× 72 1.3k

Countries citing papers authored by Sisir Nandi

Since Specialization
Citations

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

Fields of papers citing papers by Sisir Nandi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sisir Nandi

This figure shows the co-authorship network connecting the top 25 collaborators of Sisir Nandi. A scholar is included among the top collaborators of Sisir Nandi 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 Sisir Nandi. Sisir Nandi 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
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Samadder, Asmita, et al.. (2024). To Explore Potential Inhibitors against Various Enzymatic Targets of Human African Trypanosomiasis. Combinatorial Chemistry & High Throughput Screening. 28(9). 1553–1593. 1 indexed citations
3.
Nandi, Sisir, et al.. (2024). Curcumin Mitigates Streptozotocin-Induced Genotoxicity In Vivo by Activating P53 Protein and Inhibiting Oxidative Stress and Chromosomal Aberration. Combinatorial Chemistry & High Throughput Screening. 28(8). 1290–1300. 1 indexed citations
4.
Nandi, Sisir, et al.. (2024). Novel PLGA-encapsulated-nanopiperine promotes synergistic interaction of p53/PARP-1/Hsp90 axis to combat ALX-induced-hyperglycemia. Scientific Reports. 14(1). 9483–9483. 7 indexed citations
5.
Nath, Debjani, et al.. (2024). To quest new targets of Plasmodium parasite and their potential inhibitors to combat antimalarial drug resistance. Journal of Parasitic Diseases. 48(4). 671–722. 4 indexed citations
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Nandi, Sisir, et al.. (2023). Multi-target Polypharmacology of 4-aminoquinoline Compounds againstMalaria, Tuberculosis and Cancer. Current Topics in Medicinal Chemistry. 23(5). 403–414. 7 indexed citations
8.
Nandi, Sisir, et al.. (2023). Aromatic Plants as Potential Resources to Combat Osteoarthritis. Combinatorial Chemistry & High Throughput Screening. 27(10). 1434–1465. 3 indexed citations
9.
Malakar, P.K., et al.. (2023). Exploring the Targets of Dengue Virus and Designs of Potential Inhibitors. Combinatorial Chemistry & High Throughput Screening. 27(17). 2485–2524. 1 indexed citations
10.
Basu, D., et al.. (2023). To Investigate Growth Factor Receptor Targets and Generate CancerTargeting Inhibitors. Current Topics in Medicinal Chemistry. 23(30). 2877–2972. 4 indexed citations
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Roy, Harekrishna, et al.. (2022). Chitosan based urapidil microparticle development in approach to improve mechanical strength by cold hyperosmotic dextrose solution technique. Journal of Drug Delivery Science and Technology. 76. 103745–103745. 9 indexed citations
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Nandi, Sisir, et al.. (2020). QSAR of 1,3,5-triazine compounds towards inhibition of toxoplasmosis utilizing computed molecular descriptors. 59(12). 1881–1886. 1 indexed citations
15.
Veena, V., et al.. (2020). Atranorin, an antimicrobial metabolite from lichen Parmotrema rampoddense exhibited in vitro anti-breast cancer activity through interaction with Akt activity. Journal of Biomolecular Structure and Dynamics. 39(4). 1248–1258. 26 indexed citations
16.
Nandi, Sisir, et al.. (2020). “Pelargonidin mediated selective activation of p53 and parp proteins in preventing food additive induced genotoxicity: an in vivo coupled in silico molecular docking study”. European Journal of Pharmaceutical Sciences. 156. 105586–105586. 22 indexed citations
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Roy, Harekrishna, et al.. (2012). Design of fast dissolving amlodipine besylate tablet formulations. Asian Journal of Pharmaceutics. 6(1). 51–59. 4 indexed citations
19.
Nandi, Sisir & Manish C. Bagchi. (2012). Importance of Kier-Hall Topological Indices in the QSAR of Anticancer Drug Design. Current Computer - Aided Drug Design. 8(2). 159–170. 10 indexed citations
20.
Jm, Brown, et al.. (1978). Can animal and in vitro studies give new, relevant answers to questions concerning mammorgraphic screening for human breast cancer?. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 61(6). 1537–45. 1 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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