Richard A. Friesner

79.5k total citations · 21 hit papers
369 papers, 61.8k citations indexed

About

Richard A. Friesner is a scholar working on Atomic and Molecular Physics, and Optics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Richard A. Friesner has authored 369 papers receiving a total of 61.8k indexed citations (citations by other indexed papers that have themselves been cited), including 160 papers in Atomic and Molecular Physics, and Optics, 158 papers in Molecular Biology and 112 papers in Materials Chemistry. Recurrent topics in Richard A. Friesner's work include Protein Structure and Dynamics (105 papers), Spectroscopy and Quantum Chemical Studies (103 papers) and Advanced Chemical Physics Studies (92 papers). Richard A. Friesner is often cited by papers focused on Protein Structure and Dynamics (105 papers), Spectroscopy and Quantum Chemical Studies (103 papers) and Advanced Chemical Physics Studies (92 papers). Richard A. Friesner collaborates with scholars based in United States, France and Germany. Richard A. Friesner's co-authors include Robert B. Murphy, Thomas A. Halgren, Matthew P. Repasky, Daniel T. Mainz, B. J. Berne, Jay L. Banks, Leah L. Frye, George A. Kaminski, David E. Shaw and William L. Jorgensen and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Richard A. Friesner

365 papers receiving 60.9k citations

Hit Papers

Glide:  A New Approach for Rapid, Accurate Docking and... 1991 2026 2002 2014 2004 2006 2004 2001 2015 2.5k 5.0k 7.5k
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.

  1. Glide:  A New Approach for Rapid, Accurate Docking and Scoring. 1. Method and Assessment of Docking Accuracy
    2004 7.6k citations Richard A. Friesner, Jay L. Banks et al. Journal of Medicinal Chemistry profile →
  2. Extra Precision Glide:  Docking and Scoring Incorporating a Model of Hydrophobic Enclosure for Protein−Ligand Complexes
    2006 5.4k citations Richard A. Friesner, Robert B. Murphy et al. Journal of Medicinal Chemistry profile →
  3. Glide:  A New Approach for Rapid, Accurate Docking and Scoring. 2. Enrichment Factors in Database Screening
    2004 4.0k citations Thomas A. Halgren, Robert B. Murphy et al. Journal of Medicinal Chemistry profile →
  4. Evaluation and Reparametrization of the OPLS-AA Force Field for Proteins via Comparison with Accurate Quantum Chemical Calculations on Peptides
    2001 3.4k citations Richard A. Friesner et al. profile →
  5. OPLS3: A Force Field Providing Broad Coverage of Drug-like Small Molecules and Proteins
    2015 2.4k citations Edward Harder, Wolfgang Damm et al. Journal of Chemical Theory and Computation profile →
  6. A hierarchical approach to all‐atom protein loop prediction
    2004 1.9k citations Barry Honig, David E. Shaw et al. Proteins Structure Function and Bioinformatics profile →
  7. Novel Procedure for Modeling Ligand/Receptor Induced Fit Effects
    2005 1.6k citations Richard A. Friesner et al. Journal of Medicinal Chemistry profile →
  8. Jaguar: A high‐performance quantum chemistry software program with strengths in life and materials sciences
    2013 1.5k citations Arteum D. Bochevarov, Edward Harder et al. profile →
  9. Integrated Modeling Program, Applied Chemical Theory (IMPACT)
    2005 1.2k citations Jay L. Banks, Yixiang Cao et al. profile →
  10. OPLS4: Improving Force Field Accuracy on Challenging Regimes of Chemical Space
    2021 1.1k citations Chao Lü, Chuanjie Wu et al. Journal of Chemical Theory and Computation profile →
  11. On the Role of the Crystal Environment in Determining Protein Side-chain Conformations
    2002 989 citations Richard A. Friesner, Barry Honig et al. Journal of Molecular Biology profile →
  12. Accurate First Principles Calculation of Molecular Charge Distributions and Solvation Energies from Ab Initio Quantum Mechanics and Continuum Dielectric Theory
    1994 977 citations Robert B. Murphy, Richard A. Friesner et al. profile →
  13. PHASE: a new engine for pharmacophore perception, 3D QSAR model development, and 3D database screening: 1. Methodology and preliminary results
    2006 947 citations David E. Shaw, Richard A. Friesner et al. profile →
  14. New Model for Calculation of Solvation Free Energies:  Correction of Self-Consistent Reaction Field Continuum Dielectric Theory for Short-Range Hydrogen-Bonding Effects
    1996 900 citations Richard A. Friesner, Robert B. Murphy et al. profile →
  15. The VSGB 2.0 model: A next generation energy model for high resolution protein structure modeling
    2011 875 citations Robert Abel, Kai Zhu et al. Proteins Structure Function and Bioinformatics profile →
  16. OPLS3e: Extending Force Field Coverage for Drug-Like Small Molecules
    2019 857 citations Katarina Roos, Chuanjie Wu et al. Journal of Chemical Theory and Computation profile →
  17. A comparison of different propagation schemes for the time dependent Schrödinger equation
    1991 776 citations Richard A. Friesner et al. profile →
  18. Replica exchange with solute tempering: A method for sampling biological systems in explicit water
    2005 613 citations Byungchan Kim, Richard A. Friesner et al. Proceedings of the National Academy of Sciences profile →
  19. Replica Exchange with Solute Scaling: A More Efficient Version of Replica Exchange with Solute Tempering (REST2)
    2011 582 citations Lingle Wang, Richard A. Friesner et al. profile →
  20. Motifs for molecular recognition exploiting hydrophobic enclosure in protein–ligand binding
    2007 541 citations Tom Young, Robert Abel et al. Proceedings of the National Academy of Sciences profile →
  21. Role of the Active-Site Solvent in the Thermodynamics of Factor Xa Ligand Binding
    2008 526 citations Robert Abel, Tom Young et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard A. Friesner United States 96 32.3k 13.4k 12.0k 10.6k 10.2k 369 61.8k
David A. Case United States 96 52.2k 1.6× 9.8k 0.7× 9.3k 0.8× 10.6k 1.0× 14.9k 1.5× 340 81.1k
Berk Hess Sweden 42 45.1k 1.4× 6.3k 0.5× 9.9k 0.8× 11.5k 1.1× 15.0k 1.5× 119 83.5k
J. Andrew McCammon United States 118 50.8k 1.6× 9.7k 0.7× 5.8k 0.5× 12.7k 1.2× 13.7k 1.3× 841 71.8k
Kenneth M. Merz United States 73 23.0k 0.7× 5.0k 0.4× 6.7k 0.6× 8.0k 0.8× 8.7k 0.9× 374 41.5k
William L. Jorgensen United States 109 46.8k 1.4× 9.9k 0.7× 18.7k 1.6× 26.4k 2.5× 20.8k 2.0× 466 104.8k
Erik Lindahl Sweden 54 40.9k 1.3× 5.0k 0.4× 7.4k 0.6× 9.1k 0.9× 12.0k 1.2× 197 71.6k
Herman J. C. Berendsen Netherlands 67 60.3k 1.9× 6.7k 0.5× 11.8k 1.0× 23.3k 2.2× 24.0k 2.4× 164 112.9k
David van der Spoel Sweden 57 31.8k 1.0× 4.3k 0.3× 6.9k 0.6× 10.4k 1.0× 12.3k 1.2× 168 61.7k
Klaus Schulten United States 126 63.9k 2.0× 5.0k 0.4× 10.3k 0.9× 21.5k 2.0× 23.6k 2.3× 532 120.6k
Junmei Wang China 67 25.1k 0.8× 7.7k 0.6× 6.0k 0.5× 4.1k 0.4× 7.1k 0.7× 416 45.8k

Countries citing papers authored by Richard A. Friesner

Since Specialization
Citations

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

Fields of papers citing papers by Richard A. Friesner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard A. Friesner

This figure shows the co-authorship network connecting the top 25 collaborators of Richard A. Friesner. A scholar is included among the top collaborators of Richard A. Friesner 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 Richard A. Friesner. Richard A. Friesner 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.
Cao, Yixiang, Michael D. Beachy, Arteum D. Bochevarov, et al.. (2024). Quantum chemical package Jaguar: A survey of recent developments and unique features. The Journal of Chemical Physics. 161(5). 17 indexed citations
2.
Cao, Yixiang, Mathew D. Halls, & Richard A. Friesner. (2024). Highly efficient implementation of analytic nonadiabatic derivative couplings within the pseudospectral method. The Journal of Chemical Physics. 160(8). 1 indexed citations
3.
Sergeeva, Alina P., Edward Harder, Lingle Wang, et al.. (2024). A Method for Treating Significant Conformational Changes in Alchemical Free Energy Simulations of Protein–Ligand Binding. Journal of Chemical Theory and Computation. 20(19). 8609–8623. 1 indexed citations
4.
Shee, James, John L. Weber, David R. Reichman, Richard A. Friesner, & Shiwei Zhang. (2023). On the potentially transformative role of auxiliary-field quantum Monte Carlo in quantum chemistry: A highly accurate method for transition metals and beyond. The Journal of Chemical Physics. 158(14). 140901–140901. 16 indexed citations
5.
Chen, Wei, Steven V. Jerome, Mayako Michino, et al.. (2023). Enhancing Hit Discovery in Virtual Screening through Absolute Protein–Ligand Binding Free-Energy Calculations. Journal of Chemical Information and Modeling. 63(10). 3171–3185. 69 indexed citations
6.
Jacobson, Leif D., et al.. (2023). Accurate Quantum Chemical Reaction Energies for Lithium-Mediated Electrolyte Decomposition and Evaluation of Density Functional Approximations. The Journal of Physical Chemistry A. 127(44). 9178–9184. 9 indexed citations
7.
Chen, Wei, Anthony Clark, Chao Lü, et al.. (2022). Reliable and Accurate Prediction of Single-Residue p K a Values through Free Energy Perturbation Calculations. Journal of Chemical Theory and Computation. 18(12). 7193–7204. 13 indexed citations
8.
Weber, John L., Emily M. Churchill, Steffen Jockusch, et al.. (2020). In silico prediction of annihilators for triplet–triplet annihilation upconversion via auxiliary-field quantum Monte Carlo. Chemical Science. 12(3). 1068–1079. 12 indexed citations
9.
Roos, Katarina, Chuanjie Wu, Wolfgang Damm, et al.. (2019). OPLS3e: Extending Force Field Coverage for Drug-Like Small Molecules. Journal of Chemical Theory and Computation. 15(3). 1863–1874. 857 indexed citations breakdown →
10.
Abel, Robert, Lingle Wang, David L. Mobley, & Richard A. Friesner. (2017). A Critical Review of Validation, Blind Testing, and Real- World Use of Alchemical Protein-Ligand Binding Free Energy Calculations. Current Topics in Medicinal Chemistry. 17(23). 2577–2585. 72 indexed citations
11.
Jerome, Steven V., Thomas F. Hughes, & Richard A. Friesner. (2015). Successful application of the DBLOC method to the hydroxylation of camphor by cytochrome p450. Protein Science. 25(1). 277–285. 7 indexed citations
12.
Goldfeld, Dahlia A. & Richard A. Friesner. (2013). The Protein Local Optimization Program and G-Protein-Coupled Receptors. Methods in enzymology on CD-ROM/Methods in enzymology. 522. 1–20. 1 indexed citations
13.
Goldfeld, Dahlia A., Kai Zhu, Thijs Beuming, & Richard A. Friesner. (2011). Successful prediction of the intra- and extracellular loops of four G-protein-coupled receptors. Proceedings of the National Academy of Sciences. 108(20). 8275–8280. 58 indexed citations
14.
Wang, Lingle, Richard A. Friesner, & B. J. Berne. (2010). Hydrophobic interactions in model enclosures from small to large length scales: non-additivity in explicit and implicit solvent models. Faraday Discussions. 146. 247–247. 30 indexed citations
15.
Young, Tom, Lan Hua, Xuhui Huang, et al.. (2010). Dewetting transitions in protein cavities. Proteins Structure Function and Bioinformatics. 78(8). 1856–1869. 58 indexed citations
16.
Young, Tom, Robert Abel, Byungchan Kim, B. J. Berne, & Richard A. Friesner. (2007). Motifs for molecular recognition exploiting hydrophobic enclosure in protein–ligand binding. Proceedings of the National Academy of Sciences. 104(3). 808–813. 541 indexed citations breakdown →
17.
Friesner, Richard A. & Vı́ctor Guallar. (2005). AB INITIO QUANTUM CHEMICAL AND MIXED QUANTUM MECHANICS/MOLECULAR MECHANICS (QM/MM) METHODS FOR STUDYING ENZYMATIC CATALYSIS. Annual Review of Physical Chemistry. 56(1). 389–427. 410 indexed citations
18.
Friesner, Richard A., Jay L. Banks, Robert B. Murphy, et al.. (2004). Glide:  A New Approach for Rapid, Accurate Docking and Scoring. 1. Method and Assessment of Docking Accuracy. Journal of Medicinal Chemistry. 47(7). 1739–1749. 7559 indexed citations breakdown →
19.
Halgren, Thomas A., Robert B. Murphy, Richard A. Friesner, et al.. (2004). Glide:  A New Approach for Rapid, Accurate Docking and Scoring. 2. Enrichment Factors in Database Screening. Journal of Medicinal Chemistry. 47(7). 1750–1759. 4026 indexed citations breakdown →
20.
Standley, Daron M., Volker A. Eyrich, Anthony K. Felts, Richard A. Friesner, & Ann E. McDermott. (1999). A branch and bound algorithm for protein structure refinement from sparse NMR data sets. Journal of Molecular Biology. 285(4). 1691–1710. 25 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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