David A. Case

106.3k citations
361 papers · 86.2k · 28 hit papers · h-index 101

Impact in

Papers in

David A. Case

353 papers receiving 84.7k citations

David A. Case's Hit Papers

GPU-Accelerated Molecular Dynamics and Free Energy Methods in Amber18: Performance Enhancements and New Features 2018 · 354 citations
3540+7+15Years since publication5.0k10.0k15.0k

Peers

David A. Case
Comparison fields: 5 of 207
  • Molecular Biology 54.2k
  • Computational Theory and Mathematics 10.2k
  • Spectroscopy 8.8k
  • Physical and Theoretical Chemistry 4.5k
  • Atomic and Molecular Physics, and Optics 11.2k
Replace Berk Hess with:
Berk Hess Sweden
Richard A. Friesner United States
Klaus Schulten United States
Herman J. C. Berendsen Netherlands
J. Andrew McCammon United States
William L. Jorgensen United States
Peter A. Kollman United States
Wilfred F. van Gunsteren Switzerland
Erik Lindahl Sweden
Michael L. Klein United States
David A. Case relative to Berk Hess Sweden Berk Hess's profile →
Citations per field
00.5×1.6×
Berk Hess · 1×
Citations per year

Countries citing papers authored by David A. Case

Since Specialization
Citations

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

Fields of papers citing papers by David A. Case

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David A. Case, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David A. Case Line = papers co-authored together David A. Case links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 361 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Development and testing of a general amber force field
Hit paper breakdown →
200415823
2
The Amber biomolecular simulation programs
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20057854
3
Automatic atom type and bond type perception in molecular mechanical calculations
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20064553
4
Calculating Structures and Free Energies of Complex Molecules:  Combining Molecular Mechanics and Continuum Models
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20004196
5
A new force field for molecular mechanical simulation of nucleic acids and proteins
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19844124
6
An all atom force field for simulations of proteins and nucleic acids
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19863138
7
CHARMM-GUI Input Generator for NAMD, GROMACS, AMBER, OpenMM, and CHARMM/OpenMM Simulations Using the CHARMM36 Additive Force Field
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20152966
8
AMBER, a package of computer programs for applying molecular mechanics, normal mode analysis, molecular dynamics and free energy calculations to simulate the structural and energetic properties of molecules
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19952764
9
Exploring protein native states and large‐scale conformational changes with a modified generalized born model
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20042158
10
An overview of the Amber biomolecular simulation package
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20122048
11
Force Fields for Protein Simulations
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20031579
12
Continuum Solvent Studies of the Stability of DNA, RNA, and Phosphoramidate−DNA Helices
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19981417
13
Insights into Protein–Protein Binding by Binding Free Energy Calculation and Free Energy Decomposition for the Ras–Raf and Ras–RalGDS Complexes
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20031072
14
Generalized Born Models of Macromolecular Solvation Effects
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2000975
15
Modification of the Generalized Born Model Suitable for Macromolecules
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2000953
16
Theory and applications of the generalized born solvation model in macromolecular simulations
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2000872
17
Parmbsc1: a refined force field for DNA simulations
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2015863
18
Converging free energy estimates: MM‐PB(GB)SA studies on the protein–protein complex Ras–Raf
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2003763
19
Orbital interactions, electron delocalization and spin coupling in iron-sulfur clusters
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1995743
20
DOCK 6: Impact of new features and current docking performance
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2015633

About David A. Case

David A. Case is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Materials Chemistry, Spectroscopy and Renewable Energy, Sustainability and the Environment, having authored 361 papers that have together received 86.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (132 papers), DNA and Nucleic Acid Chemistry (79 papers), Spectroscopy and Quantum Chemical Studies (61 papers), RNA and protein synthesis mechanisms (58 papers), Enzyme Structure and Function (57 papers), Advanced Chemical Physics Studies (37 papers), Advanced NMR Techniques and Applications (35 papers) and Molecular spectroscopy and chirality (28 papers). The work is most often cited by research in Molecular Biology (54.2k citations), Computational Theory and Mathematics (10.2k citations), Spectroscopy (8.8k citations), Physical and Theoretical Chemistry (4.5k citations) and Atomic and Molecular Physics, and Optics (11.2k citations). David A. Case has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Peter A. Kollman, Junmei Wang, James W. Caldwell, Romain M. Wolf, Alexey V. Onufriev, Thomas E. Cheatham, Donald Bashford, Holger Gohlke, Scott J. Weiner and Wei Wang. Their work appears in journals such as Journal of the American Chemical Society, Journal of Molecular Biology, The Journal of Chemical Physics, Journal of Computational Chemistry and The Journal of Physical Chemistry B.

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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