Samarjeet Prasad

2.9k total citations
12 papers, 276 citations indexed

About

Samarjeet Prasad is a scholar working on Molecular Biology, Computational Theory and Mathematics and Spectroscopy. According to data from OpenAlex, Samarjeet Prasad has authored 12 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 3 papers in Spectroscopy. Recurrent topics in Samarjeet Prasad's work include Protein Structure and Dynamics (9 papers), Computational Drug Discovery Methods (5 papers) and Spectroscopy and Quantum Chemical Studies (2 papers). Samarjeet Prasad is often cited by papers focused on Protein Structure and Dynamics (9 papers), Computational Drug Discovery Methods (5 papers) and Spectroscopy and Quantum Chemical Studies (2 papers). Samarjeet Prasad collaborates with scholars based in United States, Germany and United Kingdom. Samarjeet Prasad's co-authors include Bernard R. Brooks, David L. Mobley, Heather B. Mayes, Justin Gilmer, Jacob I. Monroe, Daniel M. Zuckerman, Efrem Braun, Jeffery B. Klauda, Jing Huang and Qiao Zeng and has published in prestigious journals such as The Journal of Chemical Physics, Biophysical Journal and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Samarjeet Prasad

11 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samarjeet Prasad United States 8 143 80 68 41 33 12 276
Gaetano Calabrò United Kingdom 8 168 1.2× 87 1.1× 93 1.4× 64 1.6× 57 1.7× 8 312
Guilherme Duarte Ramos Matos United States 6 143 1.0× 95 1.2× 83 1.2× 74 1.8× 53 1.6× 7 286
Chetan Rupakheti United States 7 120 0.8× 84 1.1× 67 1.0× 71 1.7× 13 0.4× 7 233
Luis Itza Vazquez-Salazar Switzerland 7 56 0.4× 124 1.6× 68 1.0× 43 1.0× 20 0.6× 10 247
Anupam Anand Ojha United States 10 112 0.8× 127 1.6× 56 0.8× 22 0.5× 27 0.8× 17 362
Michael R. Jones United States 11 106 0.7× 54 0.7× 60 0.9× 30 0.7× 77 2.3× 14 235
Viacheslav Bolnykh Switzerland 7 125 0.9× 73 0.9× 43 0.6× 41 1.0× 10 0.3× 9 218
Daisy Y. Kyu United States 3 138 1.0× 95 1.2× 96 1.4× 81 2.0× 84 2.5× 4 336
Vytautas Petrauskas Lithuania 12 236 1.7× 64 0.8× 53 0.8× 45 1.1× 80 2.4× 38 394
Qiaole He China 11 136 1.0× 50 0.6× 33 0.5× 30 0.7× 40 1.2× 17 270

Countries citing papers authored by Samarjeet Prasad

Since Specialization
Citations

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

Fields of papers citing papers by Samarjeet Prasad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samarjeet Prasad

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

All Works

12 of 12 papers shown
1.
Prasad, Samarjeet, et al.. (2025). apoCHARMM: High-performance molecular dynamics simulations on GPUs for advanced simulation methods. The Journal of Chemical Physics. 162(18).
2.
Prasad, Samarjeet, et al.. (2024). Simulating asymmetric membranes using P21 periodic boundary conditions. Methods in enzymology on CD-ROM/Methods in enzymology. 701. 309–358. 2 indexed citations
3.
Hudson, Phillip S., Félix Aviat, Rubén Meana‐Pañeda, et al.. (2022). Obtaining QM/MM binding free energies in the SAMPL8 drugs of abuse challenge: indirect approaches. Journal of Computer-Aided Molecular Design. 36(4). 263–277. 11 indexed citations
4.
Prasad, Samarjeet, et al.. (2022). Unraveling the allosteric activation of GPCR using metadynamics and deep learning. Biophysical Journal. 121(3). 286a–286a. 2 indexed citations
5.
Prasad, Samarjeet, et al.. (2022). GraphVAMPNet, using graph neural networks and variational approach to Markov processes for dynamical modeling of biomolecules. The Journal of Chemical Physics. 156(18). 184103–184103. 28 indexed citations
6.
Prasad, Samarjeet, et al.. (2021). Variational embedding of protein folding simulations using Gaussian mixture variational autoencoders. arXiv (Cornell University). 16 indexed citations
7.
Prasad, Samarjeet, Andrew C. Simmonett, Rubén Meana‐Pañeda, & Bernard R. Brooks. (2021). The Extended Eighth‐Shell method for periodic boundary conditions with rotational symmetry. Journal of Computational Chemistry. 42(19). 1373–1383. 4 indexed citations
8.
Prasad, Samarjeet & Bernard R. Brooks. (2020). A deep learning approach for the blind logP prediction in SAMPL6 challenge. Journal of Computer-Aided Molecular Design. 34(5). 535–542. 23 indexed citations
9.
Mey, Antonia S. J. S., Bryce K. Allen, Hannah E. Bruce Macdonald, et al.. (2019). Best Practices for Alchemical Free Energy Calculations [Article v1.0]. 2(1). 7 indexed citations
10.
Braun, Efrem, Justin Gilmer, Heather B. Mayes, et al.. (2018). Best Practices for Foundations in Molecular Simulations [Article v1.0]. PubMed Central. 1(1). 5957–5957. 136 indexed citations
11.
Prasad, Samarjeet, Jing Huang, Qiao Zeng, & Bernard R. Brooks. (2018). An explicit-solvent hybrid QM and MM approach for predicting pKa of small molecules in SAMPL6 challenge. Journal of Computer-Aided Molecular Design. 32(10). 1191–1201. 23 indexed citations
12.
König, Gerhard, Frank C. Pickard, Jing Huang, et al.. (2016). Calculating distribution coefficients based on multi-scale free energy simulations: an evaluation of MM and QM/MM explicit solvent simulations of water-cyclohexane transfer in the SAMPL5 challenge. Journal of Computer-Aided Molecular Design. 30(11). 989–1006. 24 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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