George A. Kaminski

6.7k total citations · 1 hit paper
34 papers, 5.7k citations indexed

About

George A. Kaminski is a scholar working on Atomic and Molecular Physics, and Optics, Molecular Biology and Organic Chemistry. According to data from OpenAlex, George A. Kaminski has authored 34 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Atomic and Molecular Physics, and Optics, 15 papers in Molecular Biology and 8 papers in Organic Chemistry. Recurrent topics in George A. Kaminski's work include Spectroscopy and Quantum Chemical Studies (16 papers), Protein Structure and Dynamics (12 papers) and Advanced Chemical Physics Studies (11 papers). George A. Kaminski is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (16 papers), Protein Structure and Dynamics (12 papers) and Advanced Chemical Physics Studies (11 papers). George A. Kaminski collaborates with scholars based in United States and Canada. George A. Kaminski's co-authors include William L. Jorgensen, Richard A. Friesner, Julian Tirado‐Rives, B. J. Berne, Ruhong Zhou, Harry A. Stern, Jay L. Banks, Erin M. Duffy, Tooru Matsui and Thomas A. Halgren and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and Biochemistry.

In The Last Decade

George A. Kaminski

34 papers receiving 5.6k citations

Hit 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.

Evaluation and Reparametrization of the OPLS-AA Force Field for Proteins via Comparison with Accurate Quantum Chemical Calculations on Peptides

2001 3.4k citations George A. Kaminski, Richard A. Friesner et al. The Journal of Physical Chemistry B profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
George A. Kaminski United States	19	3.1k	1.7k	1.2k	758	687	34	5.7k
Andreas W. Götz United States	32	4.3k 1.4×	1.6k 0.9×	1.6k 1.4×	1.0k 1.3×	753 1.1×	83	7.8k
Iñaki Tuñón Spain	45	3.4k 1.1×	1.7k 1.0×	1.5k 1.3×	1.5k 2.0×	788 1.1×	221	6.5k
Djamal Bouzida United States	13	4.8k 1.5×	1.5k 0.9×	1.8k 1.5×	654 0.9×	700 1.0×	24	7.1k
David A. Pearlman United States	33	4.5k 1.5×	1.2k 0.7×	1.2k 1.0×	723 1.0×	666 1.0×	62	6.5k
Shuichi Miyamoto Japan	21	4.6k 1.5×	1.2k 0.7×	1.2k 1.1×	976 1.3×	667 1.0×	90	7.7k
Rudi van Drunen Netherlands	4	4.5k 1.4×	1.3k 0.8×	1.7k 1.4×	999 1.3×	659 1.0×	5	8.4k
Ernst‐Walter Knapp Germany	40	3.6k 1.1×	1.9k 1.2×	1.1k 0.9×	876 1.2×	696 1.0×	137	5.9k
Elizabeth Hatcher United States	17	4.6k 1.5×	1.1k 0.7×	1.3k 1.2×	1.2k 1.6×	609 0.9×	20	8.0k
Thom Vreven United States	40	3.9k 1.2×	1.9k 1.1×	1.6k 1.4×	1.2k 1.6×	677 1.0×	76	7.7k
Sander Pronk United States	13	3.7k 1.2×	936 0.6×	1.5k 1.3×	707 0.9×	469 0.7×	16	6.9k

Countries citing papers authored by George A. Kaminski

Since Specialization

Citations

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

Fields of papers citing papers by George A. Kaminski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George A. Kaminski. 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 George A. Kaminski. The network helps show where George A. Kaminski may publish in the future.

Co-authorship network of co-authors of George A. Kaminski

This figure shows the co-authorship network connecting the top 25 collaborators of George A. Kaminski. A scholar is included among the top collaborators of George A. Kaminski 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 George A. Kaminski. George A. Kaminski 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

Kaminski, George A., et al.. (2019). PKA17—A Coarse‐Grain Grid‐Based Methodology and Web‐Based Software for Predicting Protein pK_a Shifts. Journal of Computational Chemistry. 40(18). 1718–1726. 18 indexed citations

Kaminski, George A., et al.. (2016). Using polarizable POSSIM force field and fuzzy‐border continuum solvent model to calculate pK_a shifts of protein residues. Journal of Computational Chemistry. 38(2). 65–80. 1 indexed citations

Kaminski, George A.. (2014). Computational Studies of the Effect of Shock Waves on the Binding of Model Complexes. Journal of Chemical Theory and Computation. 10(11). 4972–4981. 3 indexed citations

Li, Xinbi, et al.. (2013). Polarizable simulations with second order interaction model (POSSIM) force field: Developing parameters for protein side‐chain analogues. Journal of Computational Chemistry. 34(14). 1241–1250. 8 indexed citations

Ponomarev, Sergei Y., et al.. (2012). Importance of electrostatic polarizability in calculating cysteine acidity constants and copper(I) binding energy of Bacillus subtilis CopZ. Journal of Computational Chemistry. 33(11). 1142–1151. 13 indexed citations

Kaminski, George A., et al.. (2012). Calculating pK_a values for substituted phenols and hydration energies for other compounds with the first‐order fuzzy‐border continuum solvation model. Journal of Computational Chemistry. 33(30). 2388–2399. 24 indexed citations

Ponomarev, Sergei Y., et al.. (2011). Electrostatic Polarization Is Crucial in Reproducing Cu(I) Interaction Energies and Hydration. The Journal of Physical Chemistry B. 115(33). 10079–10085. 13 indexed citations

Ponomarev, Sergei Y. & George A. Kaminski. (2011). Polarizable Simulations with Second-Order Interaction Model (POSSIM) Force Field: Developing Parameters for Alanine Peptides and Protein Backbone. Journal of Chemical Theory and Computation. 7(5). 1415–1427. 16 indexed citations

Kaminski, George A., et al.. (2010). Quality of random number generators significantly affects results of Monte Carlo simulations for organic and biological systems. Journal of Computational Chemistry. 32(3). 513–524. 33 indexed citations

10.

Kaminski, George A.. (2008). Computational Studies of the X-Linked Inhibitor of Apoptosis Complex Formation with Caspase-9 and a Small Antagonist. Journal of Chemical Theory and Computation. 4(5). 847–854. 3 indexed citations

11.

MacDermaid, Christopher M. & George A. Kaminski. (2007). Electrostatic Polarization Is Crucial for Reproducing pKa Shifts of Carboxylic Residues in Turkey Ovomucoid Third Domain. The Journal of Physical Chemistry B. 111(30). 9036–9044. 31 indexed citations

12.

Kaminski, George A., et al.. (2006). Preparation and properties of polyamines. Part I. Polymers containing dinitro substituted aromatic groups. Polymer. 47(11). 4004–4011. 7 indexed citations

13.

Peng, Yong & George A. Kaminski. (2005). Accurate Determination of Pyridine−Poly(amidoamine) Dendrimer Absolute Binding Constants with the OPLS-AA Force Field and Direct Integration of Radial Distribution Functions. The Journal of Physical Chemistry B. 109(31). 15145–15149. 8 indexed citations

14.

Kaminski, George A., Richard A. Friesner, & Ruhong Zhou. (2003). A computationally inexpensive modification of the point dipole electrostatic polarization model for molecular simulations. Journal of Computational Chemistry. 24(3). 267–276. 45 indexed citations

15.

Kaminski, George A., Harry A. Stern, B. J. Berne, et al.. (2002). Development of a polarizable force field for proteins via ab initio quantum chemistry: First generation model and gas phase tests. Journal of Computational Chemistry. 23(16). 1515–1531. 257 indexed citations

16.

Jacobson, Matthew P., George A. Kaminski, Richard A. Friesner, & Chaya S. Rapp. (2002). Force Field Validation Using Protein Side Chain Prediction. The Journal of Physical Chemistry B. 106(44). 11673–11680. 160 indexed citations

17.

Kaminski, George A., Richard A. Friesner, Julian Tirado‐Rives, & William L. Jorgensen. (2001). Evaluation and Reparametrization of the OPLS-AA Force Field for Proteins via Comparison with Accurate Quantum Chemical Calculations on Peptides. The Journal of Physical Chemistry B. 105(28). 6474–6487. 3432 indexed citations breakdown →

18.

Kaminski, George A. & William L. Jorgensen. (1998). A Quantum Mechanical and Molecular Mechanical Method Based on CM1A Charges: Applications to Solvent Effects on Organic Equilibria and Reactions. The Journal of Physical Chemistry B. 102(10). 1787–1796. 104 indexed citations

19.

Kaminski, George A. & William L. Jorgensen. (1996). Performance of the AMBER94, MMFF94, and OPLS-AA Force Fields for Modeling Organic Liquids. The Journal of Physical Chemistry. 100(46). 18010–18013. 249 indexed citations

20.

Kaminski, George A., Erin M. Duffy, Tooru Matsui, & William L. Jorgensen. (1994). Free Energies of Hydration and Pure Liquid Properties of Hydrocarbons from the OPLS All-Atom Model. The Journal of Physical Chemistry. 98(49). 13077–13082. 280 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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