Sankar Basu

1.3k total citations
39 papers, 791 citations indexed

About

Sankar Basu is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Sankar Basu has authored 39 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 14 papers in Materials Chemistry and 5 papers in Computational Theory and Mathematics. Recurrent topics in Sankar Basu's work include Protein Structure and Dynamics (24 papers), Enzyme Structure and Function (14 papers) and RNA and protein synthesis mechanisms (8 papers). Sankar Basu is often cited by papers focused on Protein Structure and Dynamics (24 papers), Enzyme Structure and Function (14 papers) and RNA and protein synthesis mechanisms (8 papers). Sankar Basu collaborates with scholars based in India, United States and Sweden. Sankar Basu's co-authors include Björn Wallner, Dhananjay Bhattacharyya, Rahul Banerjee, Emil Alexov, Swagata Pahari, Parbati Biswas, Hirak K. Patra, Santiswarup Singha, Arka Mukhopadhyay and Yunhui Peng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Sankar Basu

39 papers receiving 781 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sankar Basu India 15 614 194 147 59 46 39 791
Guido Scarabelli United States 13 632 1.0× 96 0.5× 111 0.8× 61 1.0× 44 1.0× 17 820
Laura D. Hughes United States 9 389 0.6× 118 0.6× 126 0.9× 36 0.6× 24 0.5× 13 744
Jon E. Black Netherlands 3 561 0.9× 166 0.9× 63 0.4× 30 0.5× 24 0.5× 4 709
Nurit Haspel United States 16 842 1.4× 261 1.3× 119 0.8× 43 0.7× 32 0.7× 65 1.0k
Sugyan M. Dixit United States 11 910 1.5× 234 1.2× 219 1.5× 99 1.7× 37 0.8× 18 1.1k
InSuk Joung South Korea 11 470 0.8× 186 1.0× 81 0.6× 37 0.6× 24 0.5× 22 662
Jiayi Dou United States 10 695 1.1× 206 1.1× 104 0.7× 104 1.8× 25 0.5× 12 866
Gregory M. Lee United States 14 728 1.2× 156 0.8× 66 0.4× 32 0.5× 58 1.3× 21 948
Gabriele Pozzati Sweden 5 722 1.2× 168 0.9× 115 0.8× 51 0.9× 43 0.9× 5 842
Maksim Kouza Poland 17 552 0.9× 209 1.1× 62 0.4× 37 0.6× 30 0.7× 31 656

Countries citing papers authored by Sankar Basu

Since Specialization
Citations

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

Fields of papers citing papers by Sankar Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sankar Basu

This figure shows the co-authorship network connecting the top 25 collaborators of Sankar Basu. A scholar is included among the top collaborators of Sankar Basu 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 Sankar Basu. Sankar Basu 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.
Basu, Sankar, et al.. (2024). Combining Complementarity and Binding Energetics in the Assessment of Protein Interactions: EnCPdock—A Practical Manual. Journal of Computational Biology. 31(8). 769–781. 1 indexed citations
2.
Basu, Sankar, et al.. (2024). Intrinsic Disorder and Other Malleable Arsenals of Evolved Protein Multifunctionality. Journal of Molecular Evolution. 92(6). 669–684. 3 indexed citations
3.
Zhang, Xinwu, Xixi Song, Yaqing Yang, et al.. (2024). Landscape of intrinsically disordered proteins in mental disorder diseases. Computational and Structural Biotechnology Journal. 23. 3839–3849. 1 indexed citations
4.
Dutta, Nalok, et al.. (2023). EnCPdock: a web-interface for direct conjoint comparative analyses of complementarity and binding energetics in inter-protein associations. Journal of Molecular Modeling. 29(8). 239–239. 2 indexed citations
5.
6.
Basu, Sankar, Devlina Chakravarty, Dhananjay Bhattacharyya, Pampa Saha, & Hirak K. Patra. (2021). Plausible blockers of Spike RBD in SARS-CoV2—molecular design and underlying interaction dynamics from high-level structural descriptors. Journal of Molecular Modeling. 27(6). 191–191. 7 indexed citations
7.
Basu, Sankar, et al.. (2021). BRANEart: Identify Stability Strength and Weakness Regions in Membrane Proteins. SHILAP Revista de lepidopterología. 1. 742843–742843. 4 indexed citations
8.
Basu, Sankar, et al.. (2020). Criticality in the conformational phase transition among self-similar groups in intrinsically disordered proteins: Probed by salt-bridge dynamics. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1868(10). 140474–140474. 7 indexed citations
9.
Hou, Qingzhen, et al.. (2019). A comprehensive computational study of amino acid interactions in membrane proteins. Scientific Reports. 9(1). 12043–12043. 43 indexed citations
10.
Basu, Sankar & Parbati Biswas. (2018). Salt-bridge dynamics in intrinsically disordered proteins: A trade-off between electrostatic interactions and structural flexibility. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1866(5-6). 624–641. 28 indexed citations
11.
Pahari, Swagata, et al.. (2018). DelPhiPKa: Including salt in the calculations and enabling polar residues to titrate. Proteins Structure Function and Bioinformatics. 86(12). 1277–1283. 48 indexed citations
12.
Basu, Sankar. (2017). CPdock: the complementarity plot for docking of proteins: implementing multi-dielectric continuum electrostatics. Journal of Molecular Modeling. 24(1). 8–8. 10 indexed citations
13.
Bhattacharyya, Dhananjay, et al.. (2017). RNAHelix: computational modeling of nucleic acid structures with Watson–Crick and non-canonical base pairs. Journal of Computer-Aided Molecular Design. 31(2). 219–235. 7 indexed citations
14.
Bhattacharya, Abhishek, Sankar Basu, Souradipta Ganguly, et al.. (2017). Nitric oxide sensing by chlorophyll a. Analytica Chimica Acta. 985. 101–113. 9 indexed citations
15.
Basu, Sankar & Björn Wallner. (2016). DockQ: A Quality Measure for Protein-Protein Docking Models. PLoS ONE. 11(8). e0161879–e0161879. 251 indexed citations
16.
Basu, Sankar, et al.. (2015). The Unfolding MD Simulations of Cyclophilin: Analyzed by Surface Contact Networks and Their Associated Metrics. PLoS ONE. 10(11). e0142173–e0142173. 6 indexed citations
17.
Basu, Sankar, et al.. (2014). Analysis of stacking overlap in nucleic acid structures: algorithm and application. Journal of Computer-Aided Molecular Design. 28(8). 851–867. 20 indexed citations
18.
Basu, Sankar, et al.. (2014). Equilibrium unfolding of cyclophilin from Leishmania donovani: Characterization of intermediate states. International Journal of Biological Macromolecules. 69. 353–360. 15 indexed citations
19.
Basu, Sankar, Dhananjay Bhattacharyya, & Rahul Banerjee. (2011). Mapping the distribution of packing topologies within protein interiors shows predominant preference for specific packing motifs. BMC Bioinformatics. 12(1). 195–195. 20 indexed citations
20.
Saon, George, et al.. (1999). Recent Improvements on a VoiceMail Transcription Task. Conference of the International Speech Communication Association. 11(32). 29298–29304. 2 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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