Emilio Gallicchio

7.4k total citations · 1 hit paper
93 papers, 5.6k citations indexed

About

Emilio Gallicchio is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Emilio Gallicchio has authored 93 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 24 papers in Atomic and Molecular Physics, and Optics and 24 papers in Computational Theory and Mathematics. Recurrent topics in Emilio Gallicchio's work include Protein Structure and Dynamics (61 papers), Computational Drug Discovery Methods (23 papers) and Spectroscopy and Quantum Chemical Studies (21 papers). Emilio Gallicchio is often cited by papers focused on Protein Structure and Dynamics (61 papers), Computational Drug Discovery Methods (23 papers) and Spectroscopy and Quantum Chemical Studies (21 papers). Emilio Gallicchio collaborates with scholars based in United States, Belgium and Spain. Emilio Gallicchio's co-authors include Ronald M. Levy, Anthony K. Felts, B. J. Berne, Linda Y. Zhang, Michael Andrec, Richard A. Friesner, Mauro Lapelosa, Robert B. Murphy, Art E. Cho and Ramy Farid and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and The Journal of Chemical Physics.

In The Last Decade

Emilio Gallicchio

90 papers receiving 5.5k citations

Hit Papers

Integrated Modeling Program, Applied Chemical Theory (IMP... 2005 2026 2012 2019 2005 250 500 750 1000

Peers

Emilio Gallicchio
Jonathan W. Essex United Kingdom
Peter Eastman United States
David A. Pearlman United States
Mihaly Mezei United States
Lee‐Ping Wang United States
Andreas W. Götz United States
George A. Kaminski United States
Jonathan W. Essex United Kingdom
Emilio Gallicchio
Citations per year, relative to Emilio Gallicchio Emilio Gallicchio (= 1×) peers Jonathan W. Essex

Countries citing papers authored by Emilio Gallicchio

Since Specialization
Citations

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

Fields of papers citing papers by Emilio Gallicchio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emilio Gallicchio

This figure shows the co-authorship network connecting the top 25 collaborators of Emilio Gallicchio. A scholar is included among the top collaborators of Emilio Gallicchio 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 Emilio Gallicchio. Emilio Gallicchio 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.
Gallicchio, Emilio, et al.. (2024). Binding Selectivity Analysis from Alchemical Receptor Hopping and Swapping Free Energy Calculations. The Journal of Physical Chemistry B. 128(44). 10841–10852. 2 indexed citations
2.
Wu, Chuanjie, et al.. (2023). Taming multiple binding poses in alchemical binding free energy prediction: the β-cyclodextrin host–guest SAMPL9 blinded challenge. Physical Chemistry Chemical Physics. 25(36). 24364–24376. 10 indexed citations
3.
Chen, Lieyang, Yujie Wu, Chuanjie Wu, et al.. (2023). Performance and Analysis of the Alchemical Transfer Method for Binding-Free-Energy Predictions of Diverse Ligands. Journal of Chemical Information and Modeling. 64(1). 250–264. 12 indexed citations
4.
Gallicchio, Emilio, et al.. (2022). Relative Binding Free Energy Calculations for Ligands with Diverse Scaffolds with the Alchemical Transfer Method. Journal of Chemical Information and Modeling. 62(2). 309–323. 29 indexed citations
5.
Kurtzman, Tom, et al.. (2022). Application of the alchemical transfer and potential of mean force methods to the SAMPL8 host-guest blinded challenge. Journal of Computer-Aided Molecular Design. 36(1). 63–76. 11 indexed citations
6.
Krishna, Namballa Hari, et al.. (2021). New tetrahydroisoquinoline-based D3R ligands with an o-xylenyl linker motif. Bioorganic & Medicinal Chemistry Letters. 42. 128047–128047. 2 indexed citations
7.
Gallicchio, Emilio. (2021). Free Energy-Based Computational Methods for the Study of Protein-Peptide Binding Equilibria. Methods in molecular biology. 2405. 303–334. 6 indexed citations
8.
Li, Qilan, Elena Lomonosova, Maureen J. Donlin, et al.. (2020). Amide-containing α-hydroxytropolones as inhibitors of hepatitis B virus replication. Antiviral Research. 177. 104777–104777. 20 indexed citations
9.
Ramsey, Steven, et al.. (2019). Inclusion of enclosed hydration effects in the binding free energy estimation of dopamine D3 receptor complexes. PLoS ONE. 14(9). e0222902–e0222902. 6 indexed citations
10.
He, Peng, Sheila Sarkar, Emilio Gallicchio, Tom Kurtzman, & Lauren Wickstrom. (2019). Role of Displacing Confined Solvent in the Conformational Equilibrium of β-Cyclodextrin. The Journal of Physical Chemistry B. 123(40). 8378–8386. 10 indexed citations
11.
Gallicchio, Emilio, et al.. (2016). Recent Advances in Computational Models for the Study of Protein–Peptide Interactions. Advances in protein chemistry and structural biology. 105. 27–57. 23 indexed citations
12.
Deng, Nanjie, William F. Flynn, Junchao Xia, et al.. (2016). Large scale free energy calculations for blind predictions of protein–ligand binding: the D3R Grand Challenge 2015. Journal of Computer-Aided Molecular Design. 30(9). 743–751. 14 indexed citations
13.
Gallicchio, Emilio, Haoyuan Chen, Michael Fitzgerald, et al.. (2015). BEDAM binding free energy predictions for the SAMPL4 octa-acid host challenge. Journal of Computer-Aided Molecular Design. 29(4). 315–325. 16 indexed citations
14.
Gallicchio, Emilio, et al.. (2015). Asynchronous replica exchange software for grid and heterogeneous computing. Computer Physics Communications. 196. 236–246. 33 indexed citations
15.
Gallicchio, Emilio, Nanjie Deng, Peng He, et al.. (2014). Virtual screening of integrase inhibitors by large scale binding free energy calculations: the SAMPL4 challenge. Journal of Computer-Aided Molecular Design. 28(4). 475–490. 48 indexed citations
16.
Gallicchio, Emilio & Ronald M. Levy. (2012). Prediction of SAMPL3 host-guest affinities with the binding energy distribution analysis method (BEDAM). Journal of Computer-Aided Molecular Design. 26(5). 505–516. 40 indexed citations
17.
Gallicchio, Emilio, et al.. (2005). Conformational Equilibria and Free Energy Profiles for the Allosteric Transition of the Ribose-binding Protein. Journal of Molecular Biology. 353(1). 196–210. 66 indexed citations
18.
Su, Yang & Emilio Gallicchio. (2004). The non-polar solvent potential of mean force for the dimerization of alanine dipeptide: the role of solute–solvent van der Waals interactions. Biophysical Chemistry. 109(2). 251–260. 29 indexed citations
19.
Gallicchio, Emilio & Ronald M. Levy. (2004). AGBNP: An analytic implicit solvent model suitable for molecular dynamics simulations and high‐resolution modeling. Journal of Computational Chemistry. 25(4). 479–499. 270 indexed citations
20.
Gallicchio, Emilio, et al.. (2002). The SGB/NP hydration free energy model based on the surface generalized born solvent reaction field and novel nonpolar hydration free energy estimators. Journal of Computational Chemistry. 23(5). 517–529. 212 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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