D-Index & Metrics Best Publications
Research.com 2022 Best Scientist Award Badge Research.com 2022 Best Female Scientist Award Badge

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 female scientists D-index 160 Citations 97,204 786 World Ranking 63 National Ranking 44
Best Scientists D-index 160 Citations 97,204 786 World Ranking 851 National Ranking 548
Biology and Biochemistry D-index 130 Citations 65,152 771 World Ranking 289 National Ranking 205

Research.com Recognitions

Awards & Achievements

2022 - Research.com Best Female Scientist Award

2022 - Research.com Best Scientist Award

2020 - Fellow of American Physical Society (APS) Citation For extraordinary advancements in the understanding of the structure and function of biomacromolecules, an algorithm for predicting RNA secondary structure, and the Conformational Selection and Population Shift concept as an alternative to the InducedFit model in molecular recognition

2013 - Fellow of the International Society for Computational Biology

Overview

What is she best known for?

The fields of study she is best known for:

  • Gene
  • Enzyme
  • DNA

Ruth Nussinov mainly focuses on Protein structure, Crystallography, Protein folding, Biophysics and Docking. Her Protein structure research includes themes of Plasma protein binding, Allosteric regulation and Binding site. The various areas that Ruth Nussinov examines in her Crystallography study include Hydrophobic effect, Salt bridge, Hydrogen bond and Protein–protein interaction.

Ruth Nussinov works mostly in the field of Protein folding, limiting it down to topics relating to Chemical physics and, in certain cases, Molecular dynamics. Her study in Biophysics is interdisciplinary in nature, drawing from both Hydrophobic collapse, Peptide and Amyloid. The study incorporates disciplines such as Algorithm and Hinge in addition to Docking.

Her most cited work include:

  • PatchDock and SymmDock: servers for rigid and symmetric docking (1917 citations)
  • The role of dynamic conformational ensembles in biomolecular recognition (1421 citations)
  • The role of dynamic conformational ensembles in biomolecular recognition (1421 citations)

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

Her primary scientific interests are in Protein structure, Biophysics, Crystallography, Computational biology and Biochemistry. Her studies deal with areas such as Plasma protein binding, Docking, Protein folding, Peptide sequence and Binding site as well as Protein structure. Her work deals with themes such as Folding, Hydrophobic effect and Folding, which intersect with Protein folding.

In her study, Signal transduction is inextricably linked to Allosteric regulation, which falls within the broad field of Biophysics. While the research belongs to areas of Crystallography, Ruth Nussinov spends her time largely on the problem of Molecular dynamics, intersecting her research to questions surrounding Stereochemistry. Her Computational biology research includes elements of Genetics, Function, Protein–protein interaction and Bioinformatics, Drug discovery.

She most often published in these fields:

  • Protein structure (45.32%)
  • Biophysics (35.62%)
  • Crystallography (35.79%)

What were the highlights of her more recent work (between 2016-2022)?

  • Biophysics (35.62%)
  • Cell biology (17.08%)
  • Computational biology (30.90%)

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

The scientist’s investigation covers issues in Biophysics, Cell biology, Computational biology, Allosteric regulation and PI3K/AKT/mTOR pathway. Her Biophysics research integrates issues from Protein structure, Membrane, Biochemistry and Molecular dynamics. Her research integrates issues of Enzyme activator, Protein domain and Tau protein in her study of Protein structure.

Her Molecular dynamics research is multidisciplinary, relying on both Crystallography, Mutant and Peptide. Her Computational biology research is multidisciplinary, incorporating perspectives in Cancer, Genomics, Artificial intelligence, Protein–protein interaction and Drug discovery. Ruth Nussinov combines subjects such as Function, Antibody, Conformational change, GTP' and Binding site with her study of Allosteric regulation.

Between 2016 and 2022, her most popular works were:

  • deepDR: a network-based deep learning approach to in silico drug repositioning. (149 citations)
  • Allostery in Its Many Disguises: From Theory to Applications (129 citations)
  • Artificial intelligence in COVID-19 drug repurposing. (127 citations)

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

  • Gene
  • Enzyme
  • DNA

Biophysics, Cell biology, Biochemistry, Membrane and PI3K/AKT/mTOR pathway are her primary areas of study. The concepts of her Biophysics study are interwoven with issues in Protein structure, Mitochondrion and Permeation. Ruth Nussinov conducts interdisciplinary study in the fields of Protein structure and Polygene through her research.

Her Cell biology study combines topics from a wide range of disciplines, such as Ubiquitin ligase complex, Ubiquitin, Allosteric regulation and Drug discovery. Her research in Membrane intersects with topics in Transport protein and Molecular dynamics. Her PI3K/AKT/mTOR pathway research incorporates themes from Protein kinase B, Calmodulin, MAPK/ERK pathway and Effector.

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

PatchDock and SymmDock: servers for rigid and symmetric docking

Dina Schneidman-Duhovny;Yuval Inbar;Ruth Nussinov;Haim J. Wolfson.
Nucleic Acids Research (2005)

2722 Citations

The role of dynamic conformational ensembles in biomolecular recognition

David D Boehr;Ruth Nussinov;Ruth Nussinov;Peter E Wright.
Nature Chemical Biology (2009)

1804 Citations

Principles of docking: An overview of search algorithms and a guide to scoring functions

Inbal Halperin;Buyong Ma;Haim Wolfson;Ruth Nussinov;Ruth Nussinov.
Proteins (2002)

1666 Citations

Is allostery an intrinsic property of all dynamic proteins

K. Gunasekaran;Buyong Ma;Ruth Nussinov;Ruth Nussinov.
Proteins (2004)

1158 Citations

Factors enhancing protein thermostability

Sandeep Kumar;Chung-Jung Tsai;Ruth Nussinov.
Protein Engineering (2000)

958 Citations

Algorithms for Loop Matchings

Ruth Nussinov;George Pieczenik;Jerrold R. Griggs;Daniel J. Kleitman.
Siam Journal on Applied Mathematics (1978)

824 Citations

FOLDING FUNNELS, BINDING FUNNELS, AND PROTEIN FUNCTION

Chung-Jung Tsai;Sandeep Kumar;Buyong Ma;Ruth Nussinov;Ruth Nussinov.
Protein Science (1999)

766 Citations

Efficient Unbound Docking of Rigid Molecules

Dina Duhovny;Ruth Nussinov;Haim J. Wolfson.
workshop on algorithms in bioinformatics (2002)

734 Citations

Fast algorithm for predicting the secondary structure of single-stranded RNA

Ruth Nussinov;Ann B. Jacobson.
Proceedings of the National Academy of Sciences of the United States of America (1980)

713 Citations

Principles of Protein−Protein Interactions: What are the Preferred Ways For Proteins To Interact?

Ozlem Keskin;Attila Gursoy;Buyong Ma;Ruth Nussinov.
Chemical Reviews (2008)

710 Citations

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