D-Index & Metrics Best Publications
Research.com 2022 Best Scientist Award Badge
Chemistry
USA
2023

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Best Scientists D-index 193 Citations 187,151 839 World Ranking 252 National Ranking 169
Chemistry D-index 188 Citations 170,837 791 World Ranking 10 National Ranking 6

Research.com Recognitions

Awards & Achievements

2023 - Research.com Chemistry in United States Leader Award

2022 - Research.com Best Scientist Award

2022 - Research.com Chemistry in United States Leader Award

2013 - Nobel Prize for the development of multiscale models for complex chemical systems

2004 - Linus Pauling Award, American Chemical Society (ACS)

2000 - Fellow of the Royal Society, United Kingdom

1991 - Royal Netherlands Academy of Arts and Sciences

1987 - Fellow of John Simon Guggenheim Memorial Foundation

1987 - Irving Langmuir Award, American Chemical Society (ACS)

1967 - Fellow of the American Association for the Advancement of Science (AAAS)

1967 - Member of the National Academy of Sciences

1966 - Fellow of the American Academy of Arts and Sciences

1959 - Fellow of Alfred P. Sloan Foundation

Overview

What is he best known for?

The fields of study he is best known for:

  • Quantum mechanics
  • Enzyme
  • Gene

Martin Karplus focuses on Molecular dynamics, Crystallography, Protein structure, Computational chemistry and Chemical physics. The various areas that Martin Karplus examines in his Molecular dynamics study include Dihedral angle, Hydrogen bond, Helix, Native state and Implicit solvation. His study looks at the intersection of Crystallography and topics like Crambin with Crystal structure.

His Protein structure research includes elements of Protein secondary structure, Protein folding, Structural biology and Nuclear magnetic resonance spectroscopy, Stereochemistry. His work deals with themes such as Solvent models, Dipole, Thermodynamics, Molecule and Monomer, which intersect with Computational chemistry. His Thermodynamics study also includes fields such as

  • Solvation, which have a strong connection to Interaction energy and Potential of mean force,
  • Force field and related Ab initio.

His most cited work include:

  • CHARMM: A program for macromolecular energy, minimization, and dynamics calculations (12059 citations)
  • All-atom empirical potential for molecular modeling and dynamics studies of proteins. (10375 citations)
  • All-atom empirical potential for molecular modeling and dynamics studies of proteins. (10375 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Molecular dynamics, Crystallography, Computational chemistry, Stereochemistry and Chemical physics. His Molecular dynamics research integrates issues from Biophysics, Thermodynamics, Molecule, Hydrogen bond and Statistical physics. Martin Karplus studied Molecule and Atomic physics that intersect with Electron.

His Crystallography research is multidisciplinary, incorporating perspectives in Protein structure, Nuclear magnetic resonance spectroscopy and Protein folding. His Protein folding study integrates concerns from other disciplines, such as Folding and Native state. His Computational chemistry study combines topics from a wide range of disciplines, such as Solvation, Ab initio and Molecular physics.

He most often published in these fields:

  • Molecular dynamics (32.93%)
  • Crystallography (22.54%)
  • Computational chemistry (18.16%)

What were the highlights of his more recent work (between 2005-2021)?

  • Molecular dynamics (32.93%)
  • Statistical physics (13.79%)
  • Biophysics (9.52%)

In recent papers he was focusing on the following fields of study:

Martin Karplus mainly focuses on Molecular dynamics, Statistical physics, Biophysics, Crystallography and Protein structure. Molecular dynamics is a subfield of Computational chemistry that Martin Karplus studies. His studies in Statistical physics integrate themes in fields like Hemoglobin, Non-equilibrium thermodynamics and Energy.

His work carried out in the field of Biophysics brings together such families of science as Kinesin, Biochemistry, Adenosine triphosphate, Binding site and Function. His Crystallography research also works with subjects such as

  • Protein folding which intersects with area such as Native state,
  • Plasma protein binding that connect with fields like Interaction energy,
  • Solvation most often made with reference to Chemical physics. His Protein structure research includes themes of Stereochemistry and Allosteric regulation.

Between 2005 and 2021, his most popular works were:

  • CHARMM: the biomolecular simulation program. (4881 citations)
  • CHARMM: the biomolecular simulation program. (4881 citations)
  • A hierarchy of timescales in protein dynamics is linked to enzyme catalysis. (785 citations)

In his most recent research, the most cited papers focused on:

  • Quantum mechanics
  • Enzyme
  • Gene

Martin Karplus mainly investigates Molecular dynamics, Protein structure, Computational chemistry, Biophysics and Crystallography. His Molecular dynamics study incorporates themes from Chemical physics, Statistical physics, Interaction energy and Function. His research in Protein structure intersects with topics in Protozoan Proteins, Protein subunit, Conformational change, Stereochemistry and Implicit solvation.

In the field of Computational chemistry, his study on Drude particle overlaps with subjects such as Mechanical force. Martin Karplus combines subjects such as Plasma protein binding, Biochemistry, Binding site, Actin and Bundle with his study of Biophysics. His Crystallography research includes elements of Myosin, Kinesin, Mutant and Protein folding.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

All-atom empirical potential for molecular modeling and dynamics studies of proteins.

A. D. MacKerell;D. Bashford;M. Bellott;R. L. Dunbrack.
Journal of Physical Chemistry B (1998)

14662 Citations

CHARMM: A program for macromolecular energy, minimization, and dynamics calculations

Bernard R. Brooks;Robert E. Bruccoleri;Barry D. Olafson;David J. States.
Journal of Computational Chemistry (1983)

13663 Citations

CHARMM: the biomolecular simulation program.

B. R. Brooks;C. L. Brooks;A. D. Mackerell;L. Nilsson.
Journal of Computational Chemistry (2009)

7284 Citations

Contact Electron‐Spin Coupling of Nuclear Magnetic Moments

Martin Karplus.
Journal of Chemical Physics (1959)

4331 Citations

Vicinal Proton Coupling in Nuclear Magnetic Resonance

Martin. Karplus.
Journal of the American Chemical Society (1963)

3469 Citations

Molecular dynamics simulations of biomolecules

Martin Karplus;J. Andrew McCammon.
Nature Structural & Molecular Biology (2002)

3446 Citations

Crystallographic R Factor Refinement by Molecular Dynamics

Axel T. Brünger;John Kuriyan;Martin Karplus.
Science (1987)

2861 Citations

A combined quantum mechanical and molecular mechanical potential for molecular dynamics simulations

M. J. Field;Paul A. Bash;Martin Karplus.
Journal of Computational Chemistry (1990)

2765 Citations

Dynamics of folded proteins

J A Mccammon;B R Gelin;M Karplus.
Nature (1977)

2582 Citations

Simulation of activation free energies in molecular systems

Eyal Neria;Stefan Fischer;Martin Karplus.
Journal of Chemical Physics (1996)

1663 Citations

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