Souvik Banerjee

1.0k total citations
31 papers, 777 citations indexed

About

Souvik Banerjee is a scholar working on Molecular Biology, Organic Chemistry and Cell Biology. According to data from OpenAlex, Souvik Banerjee has authored 31 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Organic Chemistry and 5 papers in Cell Biology. Recurrent topics in Souvik Banerjee's work include Synthesis and biological activity (7 papers), Cancer therapeutics and mechanisms (5 papers) and Sphingolipid Metabolism and Signaling (4 papers). Souvik Banerjee is often cited by papers focused on Synthesis and biological activity (7 papers), Cancer therapeutics and mechanisms (5 papers) and Sphingolipid Metabolism and Signaling (4 papers). Souvik Banerjee collaborates with scholars based in United States, India and China. Souvik Banerjee's co-authors include Duane D. Miller, Wěi Li, Shanshan Deng, Kinsie E. Arnst, Dong‐Jin Hwang, Yuxi Wang, Hao Chen, Derek D. Norman, Gábor Tigyi and Lei Yang and has published in prestigious journals such as Journal of Biological Chemistry, The FASEB Journal and Journal of Medicinal Chemistry.

In The Last Decade

Souvik Banerjee

27 papers receiving 771 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Souvik Banerjee United States 16 432 281 100 92 53 31 777
Nicole Caspers United States 15 490 1.1× 231 0.8× 55 0.6× 113 1.2× 87 1.6× 19 809
Efrosini Barbayianni Greece 16 470 1.1× 152 0.5× 100 1.0× 36 0.4× 62 1.2× 25 659
Qianbin Li China 18 467 1.1× 295 1.0× 39 0.4× 157 1.7× 31 0.6× 66 886
Marco Mazzorana Italy 15 618 1.4× 238 0.8× 58 0.6× 120 1.3× 72 1.4× 24 960
Jelena Dinić Serbia 19 671 1.6× 168 0.6× 86 0.9× 219 2.4× 67 1.3× 65 1.1k
Patrick Porubsky United States 12 418 1.0× 210 0.7× 175 1.8× 132 1.4× 26 0.5× 24 960
Mingyun Shen China 14 687 1.6× 166 0.6× 51 0.5× 110 1.2× 90 1.7× 15 1.0k
Todd L. Graybill United States 16 414 1.0× 351 1.2× 55 0.6× 125 1.4× 75 1.4× 29 818
Nigel Ribeiro France 17 840 1.9× 235 0.8× 70 0.7× 175 1.9× 100 1.9× 27 1.2k
Madhusoodanan Mottamal United States 16 817 1.9× 279 1.0× 67 0.7× 238 2.6× 96 1.8× 35 1.3k

Countries citing papers authored by Souvik Banerjee

Since Specialization
Citations

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

Fields of papers citing papers by Souvik Banerjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Souvik Banerjee

This figure shows the co-authorship network connecting the top 25 collaborators of Souvik Banerjee. A scholar is included among the top collaborators of Souvik Banerjee 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 Souvik Banerjee. Souvik Banerjee 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.
2.
Verma, Krishna K., et al.. (2025). Substituted Diaziridines via [2 + 1] Annulation of Dialkyl Azodicarboxylates with Diazo Esters and In Situ Pyridinium Ylides. The Journal of Organic Chemistry. 90(25). 8457–8465.
3.
Činátl, Jindřich, et al.. (2025). Colchicine Binding Site Tubulin Inhibitors Impair Vincristine-Resistant Neuroblastoma Cell Function. Molecules. 30(10). 2186–2186.
4.
Banerjee, Souvik, et al.. (2023). Geometric quantum discord signals non-factorization. Journal of High Energy Physics. 2023(8). 4 indexed citations
5.
Urbaniak, Alicja, Chandramohan Bathula, Christopher Clark, et al.. (2023). Synthesis and Anti‐Melanoma Activity of Acryloyl Pyridinone Analogues. Chemistry & Biodiversity. 20(12). e202301550–e202301550. 1 indexed citations
6.
Weissmiller, April M., et al.. (2023). Fused Imidazopyrazine-Based Tubulin Polymerization Inhibitors Inhibit Neuroblastoma Cell Function. ACS Medicinal Chemistry Letters. 14(9). 1284–1294. 2 indexed citations
7.
Banerjee, Souvik, Sue-Chin Lee, Derek D. Norman, & Gábor Tigyi. (2022). Designing Dual Inhibitors of Autotaxin-LPAR GPCR Axis. Molecules. 27(17). 5487–5487. 12 indexed citations
8.
Deng, Shanshan, Souvik Banerjee, Hao Chen, et al.. (2022). SB226, an inhibitor of tubulin polymerization, inhibits paclitaxel-resistant melanoma growth and spontaneous metastasis. Cancer Letters. 555. 216046–216046. 18 indexed citations
9.
Zeng, Jia, Jifa Zhang, Ying Sun, et al.. (2022). Targeting EZH2 for cancer therapy: From current progress to novel strategies. European Journal of Medicinal Chemistry. 238. 114419–114419. 74 indexed citations
10.
Banerjee, Souvik, Shalini Yadav, Sourav Banerjee, et al.. (2021). Drug Repurposing to Identify Nilotinib as a Potential SARS-CoV-2 Main Protease Inhibitor: Insights from a Computational and In Vitro Study. Journal of Chemical Information and Modeling. 61(11). 5469–5483. 30 indexed citations
11.
Banerjee, Souvik, Derek D. Norman, Shanshan Deng, et al.. (2020). Molecular modelling guided design, synthesis and QSAR analysis of new small molecule non-lipid autotaxin inhibitors. Bioorganic Chemistry. 103. 104188–104188. 6 indexed citations
12.
13.
Ponnusamy, Suriyan, Quynh T. Tran, Innocence Harvey, et al.. (2016). Pharmacologic activation of estrogen receptor α increases mitochondrial function, energy expenditure, and brown adipose tissue. The FASEB Journal. 31(1). 266–281. 58 indexed citations
14.
Banerjee, Souvik, Dong‐Jin Hwang, Wěi Li, & Duane D. Miller. (2016). Current Advances of Tubulin Inhibitors in Nanoparticle Drug Delivery and Vascular Disruption/Angiogenesis. Molecules. 21(11). 1468–1468. 47 indexed citations
15.
16.
Lee, Sue-Chin, Yuko Fujiwara, Jianxiong Liu, et al.. (2014). Autotaxin and LPA1 and LPA5 Receptors Exert Disparate Functions in Tumor Cells versus the Host Tissue Microenvironment in Melanoma Invasion and Metastasis. Molecular Cancer Research. 13(1). 174–185. 72 indexed citations
17.
Morales‐Lázaro, Sara L., Itzel Llorente, Ricardo González‐Ramírez, et al.. (2014). Structural Determinants of the Transient Receptor Potential 1 (TRPV1) Channel Activation by Phospholipid Analogs. Journal of Biological Chemistry. 289(35). 24079–24090. 32 indexed citations
18.
Banerjee, Souvik, et al.. (2013). Novel synthesis of various orthogonally protected Cα-methyllysine analogues and biological evaluation of a Vapreotide analogue containing (S)-α-methyllysine. Organic & Biomolecular Chemistry. 11(37). 6307–6307. 14 indexed citations
19.
Smith, Maureen E., Souvik Banerjee, Yongliang Shi, et al.. (2012). Investigation of the Cosolvent Effect on Six Isoenzymes of PLE in the Enantioselective Hydrolysis of Selected α,α‐Disubstituted Malonate Esters. ChemCatChem. 4(4). 472–475. 22 indexed citations
20.
Basu, Soumalee, Moumita Basu, Holly V. Goodson, et al.. (2004). Glycosphingolipid metabolism and signaling in apoptotic cancer cells.. 81–100.

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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