D-Index & Metrics Best Publications

D-Index & Metrics

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
Chemistry D-index 65 Citations 17,065 194 World Ranking 3488 National Ranking 1229

Research.com Recognitions

Awards & Achievements

2015 - Fellow of American Physical Society (APS) Citation For seminal contributions to the statistical physics of polypeptides, by significantly extending methods previously used for disordered systems, and for discovery of physicalchemical principles of selection of protein sequences now used as a tool for discovery of new protein sequences

Overview

What is he best known for?

The fields of study he is best known for:

  • Quantum mechanics
  • Gene
  • DNA

His scientific interests lie mostly in Protein folding, Folding, Phi value analysis, Native state and Crystallography. Eugene I. Shakhnovich combines subjects such as Chemical physics, Thermodynamics, Statistical physics, Protein structure and Levinthal's paradox with his study of Protein folding. Eugene I. Shakhnovich interconnects Helix, Cooperativity, Gene and Lattice monte carlo in the investigation of issues within Folding.

His Phi value analysis research includes elements of Contact order and Nucleus. His Native state study incorporates themes from Random coil, Protein engineering and Biological system. His study looks at the intersection of Crystallography and topics like Molecular dynamics with Globular protein.

His most cited work include:

  • How does a protein fold (783 citations)
  • Kinetics of protein folding. A lattice model study of the requirements for folding to the native state. (481 citations)
  • Engineering of stable and fast-folding sequences of model proteins (450 citations)

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

Eugene I. Shakhnovich mainly focuses on Protein folding, Statistical physics, Protein structure, Genetics and Folding. His work deals with themes such as Crystallography, Native state and Chemical physics, which intersect with Protein folding. In most of his Statistical physics studies, his work intersects topics such as Monte Carlo method.

As part of his studies on Protein structure, Eugene I. Shakhnovich often connects relevant areas like Computational biology. His Genetics study combines topics from a wide range of disciplines, such as Evolutionary biology and Fitness landscape. His Contact order study integrates concerns from other disciplines, such as Lattice protein and Downhill folding.

He most often published in these fields:

  • Protein folding (29.55%)
  • Statistical physics (14.57%)
  • Protein structure (14.57%)

What were the highlights of his more recent work (between 2017-2021)?

  • Biophysics (10.12%)
  • Protein folding (29.55%)
  • Dihydrofolate reductase (4.05%)

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

Biophysics, Protein folding, Dihydrofolate reductase, Mutant and Crystallin are his primary areas of study. His Biophysics research integrates issues from Protein aggregation, Disulfide bond, Folding, Substrate and Adenylate kinase. His research integrates issues of Protein structure and Protein domain in his study of Protein folding.

His Dihydrofolate reductase research also works with subjects such as

  • Auxotrophy that intertwine with fields like Essential gene and Evolutionary dynamics,
  • Phenotype and related Point mutation. His Crystallin research is multidisciplinary, relying on both Catalysis and Disulfide exchange. The various areas that Eugene I. Shakhnovich examines in his Contact order study include Computational biology and Gene.

Between 2017 and 2021, his most popular works were:

  • Common activation mechanism of class A GPCRs. (47 citations)
  • Accessibility of the Shine-Dalgarno Sequence Dictates N-Terminal Codon Bias in E. coli (35 citations)
  • Differential Enzyme Flexibility Probed Using Solid-State Nanopores (33 citations)

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

  • Quantum mechanics
  • Gene
  • DNA

His main research concerns Biophysics, Protein folding, Genetics, Gene and Evolutionary ecology. The concepts of his Biophysics study are interwoven with issues in Mutant, Crystallin, Adenylate kinase and Substrate. Eugene I. Shakhnovich has researched Protein folding in several fields, including Protein structure, Protein domain, Computational biology and Protein aggregation.

His study on Lineage, Hemagglutinin, Influenza vaccine and Nucleoprotein is often connected to Selective sweep as part of broader study in Genetics. The study incorporates disciplines such as Contact order, Native structure and Translocon in addition to Gene. He has included themes like Range and Competition in his Evolutionary ecology study.

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

How does a protein fold

Andrej Šali;Eugene Shakhnovich;Martin Karplus.
Nature (1994)

1193 Citations

Kinetics of protein folding. A lattice model study of the requirements for folding to the native state.

Andrej Šali;Eugene Shakhnovich;Martin Karplus.
Journal of Molecular Biology (1994)

676 Citations

Engineering of stable and fast-folding sequences of model proteins

E I Shakhnovich;A M Gutin.
Proceedings of the National Academy of Sciences of the United States of America (1993)

653 Citations

Specific nucleus as the transition state for protein folding: evidence from the lattice model.

V. I. Abkevich;A. M. Gutin;E. I. Shakhnovich.
Biochemistry (1994)

605 Citations

On the transition coordinate for protein folding

Rose Du;Vijay S. Pande;Vijay S. Pande;Alexander Yu. Grosberg;Toyoichi Tanaka.
Journal of Chemical Physics (1998)

518 Citations

Theoretical studies of protein-folding thermodynamics and kinetics.

Eugene I Shakhnovich.
Current Opinion in Structural Biology (1997)

503 Citations

Proteins with selected sequences fold into unique native conformation.

Shakhnovich Ei.
Physical Review Letters (1994)

501 Citations

Conserved residues and the mechanism of protein folding

E. Shakhnovich;V. Abkevich;O. Ptitsyn.
Nature (1996)

467 Citations

The role of topological constraints in the kinetics of collapse of macromolecules

A. Yu. Grosberg;S.K. Nechaev;E.I. Shakhnovich.
Journal De Physique (1988)

441 Citations

Universally conserved positions in protein folds: reading evolutionary signals about stability, folding kinetics and function.

Leonid A. Mirny;Eugene I. Shakhnovich.
Journal of Molecular Biology (1999)

435 Citations

Best Scientists Citing Eugene I. Shakhnovich

Nikolay V. Dokholyan

Nikolay V. Dokholyan

Pennsylvania State University

Publications: 140

José N. Onuchic

José N. Onuchic

Rice University

Publications: 93

Peter G. Wolynes

Peter G. Wolynes

Rice University

Publications: 82

Martin Karplus

Martin Karplus

Harvard University

Publications: 76

Jeffrey Skolnick

Jeffrey Skolnick

Georgia Institute of Technology

Publications: 68

Vijay S. Pande

Vijay S. Pande

Stanford University

Publications: 68

Hue Sun Chan

Hue Sun Chan

University of Toronto

Publications: 64

Feng Ding

Feng Ding

Clemson University

Publications: 64

Claus O. Wilke

Claus O. Wilke

The University of Texas at Austin

Publications: 62

Michele Vendruscolo

Michele Vendruscolo

University of Cambridge

Publications: 59

Arup K. Chakraborty

Arup K. Chakraborty

MIT

Publications: 56

Ruth Nussinov

Ruth Nussinov

U.S. Department of Health and Human Services

Publications: 54

Jin Wang

Jin Wang

Stony Brook University

Publications: 51

Harold A. Scheraga

Harold A. Scheraga

Cornell University

Publications: 51

Andrzej Kolinski

Andrzej Kolinski

University of Warsaw

Publications: 48

Christopher M. Dobson

Christopher M. Dobson

University of Cambridge

Publications: 47

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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