Avisek Das

1.7k total citations · 1 hit paper
18 papers, 1.3k citations indexed

About

Avisek Das is a scholar working on Molecular Biology, Materials Chemistry and Biomaterials. According to data from OpenAlex, Avisek Das has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Materials Chemistry and 4 papers in Biomaterials. Recurrent topics in Avisek Das's work include Protein Structure and Dynamics (7 papers), Block Copolymer Self-Assembly (5 papers) and Supramolecular Self-Assembly in Materials (4 papers). Avisek Das is often cited by papers focused on Protein Structure and Dynamics (7 papers), Block Copolymer Self-Assembly (5 papers) and Supramolecular Self-Assembly in Materials (4 papers). Avisek Das collaborates with scholars based in United States, India and Chile. Avisek Das's co-authors include Hans Christian Andersen, Gregory A. Voth, Sergei Izvekov, Jhih‐Wei Chu, W. G. Noid, Gary S. Ayton, Vinod Krishna, Benoı̂t Roux, Lanyuan Lu and Huan Rui and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and Journal of Molecular Biology.

In The Last Decade

Avisek Das

17 papers receiving 1.3k citations

Hit Papers

The multiscale coarse-graining method. I. A rigorous brid... 2008 2026 2014 2020 2008 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Avisek Das United States 12 776 673 239 223 219 18 1.3k
Lanyuan Lu Singapore 19 581 0.7× 818 1.2× 272 1.1× 215 1.0× 140 0.6× 49 1.3k
Oded Farago Israel 19 288 0.4× 594 0.9× 366 1.5× 274 1.2× 171 0.8× 62 1.2k
Wojciech T. Góźdź Poland 21 475 0.6× 465 0.7× 268 1.1× 279 1.3× 207 0.9× 66 1.2k
Hideki Nabika Japan 19 600 0.8× 424 0.6× 339 1.4× 596 2.7× 91 0.4× 89 1.6k
Lutz Maibaum United States 12 319 0.4× 643 1.0× 318 1.3× 283 1.3× 106 0.5× 32 1.2k
R. L. C. Vink Germany 23 974 1.3× 344 0.5× 341 1.4× 498 2.2× 468 2.1× 58 1.6k
Sanghyun Park South Korea 7 383 0.5× 741 1.1× 477 2.0× 228 1.0× 50 0.2× 13 1.5k
Jaime A. Millan United States 11 754 1.0× 206 0.3× 144 0.6× 216 1.0× 120 0.5× 11 1.2k
Vassiliy Lubchenko United States 17 870 1.1× 233 0.3× 169 0.7× 132 0.6× 334 1.5× 41 1.2k
A. Orecchini Italy 20 446 0.6× 412 0.6× 586 2.5× 132 0.6× 101 0.5× 79 1.2k

Countries citing papers authored by Avisek Das

Since Specialization
Citations

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

Fields of papers citing papers by Avisek Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Avisek Das

This figure shows the co-authorship network connecting the top 25 collaborators of Avisek Das. A scholar is included among the top collaborators of Avisek Das 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 Avisek Das. Avisek Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
2.
Das, Avisek, et al.. (2025). Electrostatic versus Hydrogen Bonding Control of Selectivity in CO2 Reduction by Iron Porphyrins. ACS Catalysis. 15(5). 3595–3610. 4 indexed citations
4.
Das, Avisek, et al.. (2024). Role of Explicit Solvation in Computational Modeling of Chemical Reactions: Mechanism of Cu(I) Transfer Between Thiolate-Based Chelators in Water. The Journal of Physical Chemistry B. 128(12). 2905–2921. 1 indexed citations
5.
Das, Avisek, et al.. (2022). Atomistic Pictures of Self-Assembled Helical Peptide Nanofibers. The Journal of Physical Chemistry B. 126(46). 9476–9492. 3 indexed citations
6.
Rui, Huan, Avisek Das, Robert K. Nakamoto, & Benoı̂t Roux. (2018). Proton Countertransport and Coupled Gating in the Sarcoplasmic Reticulum Calcium Pump. Journal of Molecular Biology. 430(24). 5050–5065. 20 indexed citations
7.
Das, Avisek, Huan Rui, Robert K. Nakamoto, & Benoı̂t Roux. (2017). Conformational Transitions and Alternating-Access Mechanism in the Sarcoplasmic Reticulum Calcium Pump. Journal of Molecular Biology. 429(5). 647–666. 31 indexed citations
8.
Castillo, Juan P., Huan Rui, Daniel Basilio, et al.. (2015). Mechanism of potassium ion uptake by the Na+/K+-ATPase. Nature Communications. 6(1). 7622–7622. 56 indexed citations
9.
Das, Avisek, Mert Gür, Mary Hongying Cheng, et al.. (2014). Exploring the Conformational Transitions of Biomolecular Systems Using a Simple Two-State Anisotropic Network Model. PLoS Computational Biology. 10(4). e1003521–e1003521. 99 indexed citations
10.
Das, Avisek & Hans Christian Andersen. (2012). The multiscale coarse-graining method. IX. A general method for construction of three body coarse-grained force fields. The Journal of Chemical Physics. 136(19). 194114–194114. 60 indexed citations
11.
Das, Avisek & Hans Christian Andersen. (2012). The multiscale coarse-graining method. VIII. Multiresolution hierarchical basis functions and basis function selection in the construction of coarse-grained force fields. The Journal of Chemical Physics. 136(19). 194113–194113. 24 indexed citations
12.
Das, Avisek, Lanyuan Lu, Hans Christian Andersen, & Gregory A. Voth. (2012). The multiscale coarse-graining method. X. Improved algorithms for constructing coarse-grained potentials for molecular systems. The Journal of Chemical Physics. 136(19). 194115–194115. 48 indexed citations
13.
Das, Avisek & Hans Christian Andersen. (2010). The multiscale coarse-graining method. V. Isothermal-isobaric ensemble. The Journal of Chemical Physics. 132(16). 164106–164106. 113 indexed citations
14.
Lu, Lanyuan, Sergei Izvekov, Avisek Das, Hans Christian Andersen, & Gregory A. Voth. (2010). Efficient, Regularized, and Scalable Algorithms for Multiscale Coarse-Graining. Journal of Chemical Theory and Computation. 6(3). 954–965. 108 indexed citations
15.
Das, Avisek & Hans Christian Andersen. (2009). The multiscale coarse-graining method. III. A test of pairwise additivity of the coarse-grained potential and of new basis functions for the variational calculation. The Journal of Chemical Physics. 131(3). 34102–34102. 47 indexed citations
16.
Noid, W. G., Jhih‐Wei Chu, Gary S. Ayton, et al.. (2008). The multiscale coarse-graining method. I. A rigorous bridge between atomistic and coarse-grained models. The Journal of Chemical Physics. 128(24). 244114–244114. 653 indexed citations breakdown →
17.
Mandal, Saikat, Avisek Das, Rajendra Srivastava, & Murali Sastry. (2005). Keggin Ion Mediated Synthesis of Hydrophobized Pd Nanoparticles for Multifunctional Catalysis. Langmuir. 21(6). 2408–2413. 45 indexed citations
18.
Srivastava, R. C., et al.. (1996). Mimicking sensing mechanism of smell-oscillations of electrical potential difference across a bipolar liquid membrane induced by olfactory agents.. PubMed. 33(3). 195–8. 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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