Suvankar Banerjee
About
Suvankar Banerjee is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics.
According to data from OpenAlex, Suvankar Banerjee has authored 60 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 31 papers in Oncology and 23 papers in Computational Theory and Mathematics. Recurrent topics in Suvankar Banerjee's work include Peptidase Inhibition and Analysis (30 papers), Computational Drug Discovery Methods (23 papers) and Histone Deacetylase Inhibitors Research (21 papers). Suvankar Banerjee is often cited by papers focused on Peptidase Inhibition and Analysis (30 papers), Computational Drug Discovery Methods (23 papers) and Histone Deacetylase Inhibitors Research (21 papers). Suvankar Banerjee collaborates with scholars based in India, United States and Czechia. Suvankar Banerjee's co-authors include Tarun Jha, Nilanjan Adhikari, Sk. Abdul Amin, Subha Mondal, Balaram Ghosh, Sandip Kumar Baidya, Shovanlal Gayen, Kalyan Ghosh, Rajat Sarkar and Perumal Yogeeswari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medicinal Chemistry and Journal of Lightwave Technology.
In The Last Decade
Suvankar Banerjee
57 papers receiving 1.4k citations
Hit Papers
Peers
Suvankar Banerjee
Qiu Sun China
Zhenjiang Zhao China
Xiangqian Kong China
Carmen Di Giovanni Italy
Dima A. Sabbah Jordan
Mohane Selvaraj Coumar India
Somdutt Mujwar India
Pankaj Kumar Singh India
Xuben Hou China
Prem Prakash Kushwaha India
Citations per year, relative to Suvankar Banerjee Suvankar Banerjee (= 1×)
peers
Qiu Sun
Countries citing papers authored by Suvankar Banerjee
Since
Specialization
Citations
This map shows the geographic impact of Suvankar 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 Suvankar Banerjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suvankar Banerjee more than expected).
Fields of papers citing papers by Suvankar Banerjee
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Suvankar 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 Suvankar Banerjee. The network helps show where Suvankar Banerjee may publish in the future.
Co-authorship network of co-authors of Suvankar Banerjee
This figure shows the co-authorship network connecting the top 25 collaborators of Suvankar Banerjee. A scholar is included among the top collaborators of Suvankar 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 Suvankar Banerjee. Suvankar Banerjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Banerjee, Suvankar, et al.. (2025). PROTAC‐Based HDAC Degradation: A Paradigm Shift in Targeted Epigenetic Therapies. ChemMedChem. 20(23). e202500203–e202500203.
2.
Patel, Tarun, Suvankar Banerjee, Sravani Pulya, et al.. (2025). Design and synthesis of pyridine-based benzamides as potent HDAC3 inhibitors as an armament against breast cancer with in vivo validation. European Journal of Medicinal Chemistry. 291. 117636–117636.
3.
Baidya, Sandip Kumar, Tarun Patel, Suvankar Banerjee, et al.. (2024). Synthesis, biological assessment, and in silico binding mode interaction analyses and DFT studies of biphenylsulfonamide-based potent MMP-2 inhibitors effective against chronic myeloid leukemia. Journal of Molecular Structure. 1328. 141278–141278.
4.
Jha, Tarun, Rajkumar Jana, Suvankar Banerjee, et al.. (2024). Exploring different classification-dependent QSAR modelling strategies for HDAC3 inhibitors in search of meaningful structural contributors. SAR and QSAR in environmental research. 35(5). 367–389.
5.
Banerjee, Suvankar, et al.. (2024). Exploring crucial structural attributes of quinolinyl methoxyphenyl sulphonyl-based hydroxamate derivatives as ADAM17 inhibitors through classification-dependent molecular modelling approaches. SAR and QSAR in environmental research. 35(2). 157–179.
6.
Banerjee, Suvankar, et al.. (2024). Pharmacophore modeling, 3D-QSAR, and MD simulation-based overture for the discovery of new potential HDAC1 inhibitors. Journal of Biomolecular Structure and Dynamics. 44(4). 1725–1748.
7.
Das, Sanjib, Tarun Patel, Suvankar Banerjee, et al.. (2024). Derivatives of D(−)-glutamine-based MMP-2 inhibitors as an effective remedy for the management of chronic myeloid leukemia-Part-III: Synthesis, biological screening and in silico binding interaction analysis. Bioorganic Chemistry. 154. 108057–108057.
8.
Banerjee, Suvankar, Sandip Kumar Baidya, Nilanjan Adhikari, & Tarun Jha. (2023). An updated patent review of matrix metalloproteinase (MMP) inhibitors (2021-present). Expert Opinion on Therapeutic Patents. 33(10). 631–649.
9.
Baidya, Sandip Kumar, Suvankar Banerjee, Balaram Ghosh, Tarun Jha, & Nilanjan Adhikari. (2023). Assessing structural insights into in-house arylsulfonyl L-(+) glutamine MMP-2 inhibitors as promising anticancer agents through structure-based computational modelling approaches. SAR and QSAR in environmental research. 34(10). 805–830.
10.
Banerjee, Suvankar, et al.. (2023). Employing comparative QSAR techniques for the recognition of dibenzofuran and dibenzothiophene derivatives toward MMP-12 inhibition. Journal of Biomolecular Structure and Dynamics. 42(14). 7304–7320.
11.
Banerjee, Suvankar, Sandip Kumar Baidya, Balaram Ghosh, et al.. (2023). Quantitative structural assessments of potential meprin β inhibitors by non-linear QSAR approaches and validation by binding mode of interaction analysis. New Journal of Chemistry. 47(15). 7051–7069.
12.
Banerjee, Suvankar, et al.. (2023). Fragment-based structural exploration and chemico-biological interaction study of HDAC3 inhibitors through non-linear pattern recognition, chemical space, and binding mode of interaction analysis. Journal of Biomolecular Structure and Dynamics. 42(17). 8831–8853.
13.
Pulya, Sravani, Milan Paul, Nilanjan Adhikari, et al.. (2023). Selective HDAC3 Inhibitors with Potent In Vivo Antitumor Efficacy against Triple-Negative Breast Cancer. Journal of Medicinal Chemistry. 66(17). 12033–12058.
14.
Banerjee, Suvankar, et al.. (2023). Fragment-based investigation of thiourea derivatives as VEGFR-2 inhibitors: a cross-validated approach of ligand-based and structure-based molecular modeling studies. Journal of Biomolecular Structure and Dynamics. 42(2). 1047–1063.
15.
Banerjee, Suvankar, et al.. (2022). A quantitative structural analysis of AR-42 derivatives as HDAC1 inhibitors for the identification of promising structural contributors. SAR and QSAR in environmental research. 33(11). 861–883.
16.
Banerjee, Suvankar, Sandip Kumar Baidya, Balaram Ghosh, Nilanjan Adhikari, & Tarun Jha. (2022). The first report on predictive comparative ligand-based multi-QSAR modeling analysis of 4-pyrimidinone and 2-pyridinone based APJ inhibitors. New Journal of Chemistry. 46(24). 11591–11607.
17.
Baidya, Sandip Kumar, Suvankar Banerjee, Nilanjan Adhikari, & Tarun Jha. (2022). Selective Inhibitors of Medium-Size S1′ Pocket Matrix Metalloproteinases: A Stepping Stone of Future Drug Discovery. Journal of Medicinal Chemistry. 65(16). 10709–10754.
18.
Amin, Sk. Abdul, Suvankar Banerjee, Shovanlal Gayen, & Tarun Jha. (2021). Protease targeted COVID-19 drug discovery: What we have learned from the past SARS-CoV inhibitors?. European Journal of Medicinal Chemistry. 215. 113294–113294.
19.
Amin, Sk. Abdul, Suvankar Banerjee, Nilanjan Adhikari, & Tarun Jha. (2020). Discriminations of active from inactive HDAC8 inhibitors Part II: Bayesian classification study to find molecular fingerprints. SAR and QSAR in environmental research. 31(4). 245–260.
20.
Baidya, Sandip Kumar, Sk. Abdul Amin, Suvankar Banerjee, Nilanjan Adhikari, & Tarun Jha. (2019). Structural exploration of arylsulfonamide-based ADAM17 inhibitors through validated comparative multi-QSAR modelling studies. Journal of Molecular Structure. 1185. 128–142.
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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