E. Prabhu Raman

3.9k total citations · 2 hit papers
29 papers, 3.0k citations indexed

About

E. Prabhu Raman is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, E. Prabhu Raman has authored 29 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 17 papers in Computational Theory and Mathematics and 7 papers in Materials Chemistry. Recurrent topics in E. Prabhu Raman's work include Protein Structure and Dynamics (21 papers), Computational Drug Discovery Methods (16 papers) and Enzyme Structure and Function (7 papers). E. Prabhu Raman is often cited by papers focused on Protein Structure and Dynamics (21 papers), Computational Drug Discovery Methods (16 papers) and Enzyme Structure and Function (7 papers). E. Prabhu Raman collaborates with scholars based in United States and India. E. Prabhu Raman's co-authors include Alexander D. MacKerell, Kenno Vanommeslaeghe, Olgun Guvench, Wenbo Yu, Sirish Kaushik Lakkaraju, Sairam S. Mallajosyula, Elizabeth Hatcher, Dmitri K. Klimov, Takako Takeda and Lei Fang and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Journal of Molecular Biology.

In The Last Decade

E. Prabhu Raman

29 papers receiving 2.9k citations

Hit Papers

2 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Automation of the CHARMM General Force Field (CGenFF) II: Assignment of Bonded Parameters and Partial Atomic Charges

2012 1.3k citations Kenno Vanommeslaeghe, E. Prabhu Raman et al. Journal of Chemical Information and Modeling profile →
CHARMM Additive All-Atom Force Field for Carbohydrate Derivatives and Its Utility in Polysaccharide and Carbohydrate–Protein Modeling

2011 532 citations Olgun Guvench, E. Prabhu Raman et al. Journal of Chemical Theory and Computation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
E. Prabhu Raman United States	21	2.0k	697	463	360	281	29	3.0k
Marco De Vivo Italy	35	2.7k 1.3×	672 1.0×	710 1.5×	634 1.8×	287 1.0×	116	4.2k
Xibing He United States	21	1.3k 0.6×	415 0.6×	458 1.0×	293 0.8×	320 1.1×	61	2.3k
Jérôme Baudry United States	32	2.1k 1.1×	551 0.8×	628 1.4×	339 0.9×	642 2.3×	82	4.0k
Pekka Mark Sweden	9	1.9k 1.0×	545 0.8×	581 1.3×	460 1.3×	473 1.7×	11	3.8k
Xiao Zhu United States	5	2.9k 1.5×	324 0.5×	635 1.4×	274 0.8×	368 1.3×	5	4.0k
Alpeshkumar K. Malde Australia	22	1.7k 0.9×	600 0.9×	572 1.2×	1.1k 3.0×	304 1.1×	65	3.8k
Zoe Cournia Greece	28	2.1k 1.0×	968 1.4×	510 1.1×	460 1.3×	262 0.9×	65	3.2k
Jong Cheol Jeong United States	9	2.4k 1.2×	372 0.5×	257 0.6×	266 0.7×	228 0.8×	19	3.3k
Rong Yang China	13	2.9k 1.4×	419 0.6×	836 1.8×	403 1.1×	546 1.9×	35	4.2k
Karel Berka Czechia	34	2.8k 1.4×	482 0.7×	757 1.6×	488 1.4×	356 1.3×	107	4.6k

Countries citing papers authored by E. Prabhu Raman

Since Specialization

Citations

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

Fields of papers citing papers by E. Prabhu Raman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Prabhu Raman. 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 E. Prabhu Raman. The network helps show where E. Prabhu Raman may publish in the future.

Co-authorship network of co-authors of E. Prabhu Raman

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

All Works

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20 of 20 papers shown

Raman, E. Prabhu, Thomas J. Paul, Ryan L. Hayes, & Charles L. Brooks. (2020). Automated, Accurate, and Scalable Relative Protein–Ligand Binding Free-Energy Calculations Using Lambda Dynamics. Journal of Chemical Theory and Computation. 16(12). 7895–7914. 57 indexed citations

Cavalier, Michael C., Zephan Melville, E. Prabhu Raman, et al.. (2016). Novel protein–inhibitor interactions in site 3 of Ca²⁺-bound S100B as discovered by X-ray crystallography. Acta Crystallographica Section D Structural Biology. 72(6). 753–760. 11 indexed citations

Cavalier, Michael C., Mohd. Imran Ansari, Paul T. Wilder, et al.. (2016). Small Molecule Inhibitors of Ca²⁺-S100B Reveal Two Protein Conformations. Journal of Medicinal Chemistry. 59(2). 592–608. 15 indexed citations

Raman, E. Prabhu, Sirish Kaushik Lakkaraju, R. Aldrin Denny, & Alexander D. MacKerell. (2016). Estimation of relative free energies of binding using pre‐computed ensembles based on the single‐step free energy perturbation and the site‐identification by Ligand competitive saturation approaches. Journal of Computational Chemistry. 38(15). 1238–1251. 27 indexed citations

Yu, Wenbo, E. Prabhu Raman, Sirish Kaushik Lakkaraju, Lei Fang, & Alexander D. MacKerell. (2015). Pharmacophore Modeling using Site-Identification by Ligand Competitive Saturation (SILCS) Method with Multiple Probe Molecules. Biophysical Journal. 108(2). 12a–13a. 47 indexed citations

Samadani, Ramin, Jun Zhang, Taiji Oashi, et al.. (2015). Small-molecule inhibitors of ERK-mediated immediate early gene expression and proliferation of melanoma cells expressing mutated BRaf. Biochemical Journal. 467(3). 425–438. 29 indexed citations

Raman, E. Prabhu & Alexander D. MacKerell. (2015). Spatial Analysis and Quantification of the Thermodynamic Driving Forces in Protein–Ligand Binding: Binding Site Variability. Journal of the American Chemical Society. 137(7). 2608–2621. 23 indexed citations

Raman, E. Prabhu, et al.. (2015). Site Identification by Ligand Competitive Saturation (SILCS) Simulations for Fragment-Based Drug Design. Methods in molecular biology. 1289. 75–87. 42 indexed citations

Yu, Wenbo, Sirish Kaushik Lakkaraju, E. Prabhu Raman, & Alexander D. MacKerell. (2014). Site-Identification by Ligand Competitive Saturation (SILCS) assisted pharmacophore modeling. Journal of Computer-Aided Molecular Design. 28(5). 491–507. 52 indexed citations

10.

Lakkaraju, Sirish Kaushik, E. Prabhu Raman, Wenbo Yu, & Alexander D. MacKerell. (2014). Sampling of Organic Solutes in Aqueous and Heterogeneous Environments Using Oscillating Excess Chemical Potentials in Grand Canonical-like Monte Carlo-Molecular Dynamics Simulations. Journal of Chemical Theory and Computation. 10(6). 2281–2290. 75 indexed citations

11.

Raman, E. Prabhu & Alexander D. MacKerell. (2013). Rapid estimation of hydration thermodynamics of macromolecular regions. The Journal of Chemical Physics. 139(5). 55105–55105. 21 indexed citations

12.

Raman, E. Prabhu, Wenbo Yu, Sirish Kaushik Lakkaraju, & Alexander D. MacKerell. (2013). Inclusion of Multiple Fragment Types in the Site Identification by Ligand Competitive Saturation (SILCS) Approach. Journal of Chemical Information and Modeling. 53(12). 3384–3398. 107 indexed citations

13.

Raman, E. Prabhu, Kenno Vanommeslaeghe, & Alexander D. MacKerell. (2012). Site-Specific Fragment Identification Guided by Single-Step Free Energy Perturbation Calculations. Journal of Chemical Theory and Computation. 8(10). 3513–3525. 26 indexed citations

14.

McKnight, Laura E., E. Prabhu Raman, Paul T. Wilder, et al.. (2012). Structure-Based Discovery of a Novel Pentamidine-Related Inhibitor of the Calcium-Binding Protein S100B. ACS Medicinal Chemistry Letters. 3(12). 975–979. 20 indexed citations

15.

Takeda, Takako, Wenling E. Chang, E. Prabhu Raman, & Dmitri K. Klimov. (2010). Binding of nonsteroidal anti‐inflammatory drugs to Aβ fibril. Proteins Structure Function and Bioinformatics. 78(13). 2849–2860. 29 indexed citations

16.

Chang, Wenling E., Takako Takeda, E. Prabhu Raman, & Dmitri K. Klimov. (2010). Molecular Dynamics Simulations of Anti-Aggregation Effect of Ibuprofen. Biophysical Journal. 98(11). 2662–2670. 22 indexed citations

17.

Raman, E. Prabhu, Takako Takeda, & Dmitri K. Klimov. (2009). Molecular Dynamics Simulations of Ibuprofen Binding to Aβ Peptides. Biophysical Journal. 97(7). 2070–2079. 51 indexed citations

18.

Raman, E. Prabhu, Takako Takeda, Valeri Barsegov, & Dmitri K. Klimov. (2007). Mechanical Unbinding of Aβ Peptides from Amyloid Fibrils. Journal of Molecular Biology. 373(3). 785–800. 14 indexed citations

19.

Raman, E. Prabhu, Valeri Barsegov, & Dmitri K. Klimov. (2007). Folding of tandem‐linked domains. Proteins Structure Function and Bioinformatics. 67(4). 795–810. 10 indexed citations

20.

Parthasarathi, Ramakrishnan, E. Prabhu Raman, K. Sankaranarayanan, & Lakshmi Narasimhan Chakrapani. (2001). A Reconfigurable Co-Processor for Variable Long Precision Arithmetic Using Indian Algorithms. 71–80. 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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