D-Index & Metrics Best Publications
Research.com 2022 Best 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 Scientists D-index 171 Citations 145,580 1,009 World Ranking 583 National Ranking 393
Biology and Biochemistry D-index 147 Citations 104,522 978 World Ranking 134 National Ranking 103

Research.com Recognitions

Awards & Achievements

2022 - Research.com Best Scientist Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Enzyme
  • DNA

His primary scientific interests are in Protein structure, Intrinsically disordered proteins, Biochemistry, Protein folding and Computational biology. His Protein structure research is multidisciplinary, incorporating elements of Crystallography, Plasma protein binding, Folding and Alternative splicing. His Intrinsically disordered proteins research integrates issues from Amino acid, Genetics, Proteome and Protein–protein interaction.

The various areas that Vladimir N. Uversky examines in his Biochemistry study include Biophysics and Alpha-synuclein. Vladimir N. Uversky combines subjects such as Protein aggregation, Protein secondary structure and Circular dichroism with his study of Protein folding. His study in Computational biology is interdisciplinary in nature, drawing from both Bioinformatics, Molecular recognition, Function, Peptide sequence and Binding site.

His most cited work include:

  • Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (4170 citations)
  • Why are "natively unfolded" proteins unstructured under physiologic conditions? (1640 citations)
  • Why are "natively unfolded" proteins unstructured under physiologic conditions? (1640 citations)

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

His primary areas of study are Intrinsically disordered proteins, Biochemistry, Protein structure, Computational biology and Biophysics. His work carried out in the field of Intrinsically disordered proteins brings together such families of science as Proteome, Cell biology, Protein–protein interaction, Genetics and Peptide sequence. His study on Protein aggregation, Amino acid and In vitro is often connected to Fibrillation as part of broader study in Biochemistry.

His Protein structure research includes elements of Crystallography, Plasma protein binding and Protein folding. The concepts of his Crystallography study are interwoven with issues in Protein tertiary structure and Protein secondary structure. His Computational biology study incorporates themes from Molecular recognition, Function and Bioinformatics.

He most often published in these fields:

  • Intrinsically disordered proteins (51.28%)
  • Biochemistry (40.73%)
  • Protein structure (34.34%)

What were the highlights of his more recent work (between 2019-2021)?

  • Virology (13.71%)
  • Intrinsically disordered proteins (51.28%)
  • Computational biology (31.05%)

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

Vladimir N. Uversky focuses on Virology, Intrinsically disordered proteins, Computational biology, Coronavirus and Biophysics. His Virology research includes themes of Coronavirus disease 2019, Severe acute respiratory syndrome coronavirus 2 and Virulence. His Intrinsically disordered proteins study which covers Proteome that intersects with Protein structure.

In his study, Structural motif, Peptide sequence and Serine is inextricably linked to Amino acid, which falls within the broad field of Computational biology. His Coronavirus study combines topics from a wide range of disciplines, such as Middle East respiratory syndrome and Pandemic. In Biophysics, Vladimir N. Uversky works on issues like Mutant, which are connected to Tau protein and Neurodegeneration.

Between 2019 and 2021, his most popular works were:

  • Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) (38 citations)
  • Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) (38 citations)
  • Rigidity of the Outer Shell Predicted by a Protein Intrinsic Disorder Model Sheds Light on the COVID-19 (Wuhan-2019-nCoV) Infectivity (32 citations)

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

  • Gene
  • Enzyme
  • DNA

Virology, Coronavirus, Intrinsically disordered proteins, Severe acute respiratory syndrome coronavirus 2 and Coronavirus disease 2019 are his primary areas of study. He has included themes like Extracellular vesicle and Viral rna in his Virology study. Vladimir N. Uversky interconnects Proteome, Transcriptional regulation, Signal transduction, Viral replication and Computational biology in the investigation of issues within Intrinsically disordered proteins.

As a part of the same scientific study, he usually deals with the Proteome, concentrating on Order and frequently concerns with Function, Peptide sequence and Protein structure. While the research belongs to areas of Transcriptional regulation, Vladimir N. Uversky spends his time largely on the problem of Osmolyte, intersecting his research to questions surrounding Biophysics. Vladimir N. Uversky undertakes multidisciplinary investigations into Computational biology and Set in his work.

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

Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)

Daniel J. Klionsky;Amal Kamal Abdel-Aziz;Sara Abdelfatah;Mahmoud Abdellatif.
Autophagy (2021)

8964 Citations

Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

Daniel J. Klionsky;Kotb Abdelmohsen;Akihisa Abe;Joynal Abedin.
Autophagy (2016)

7788 Citations

Why are "natively unfolded" proteins unstructured under physiologic conditions?

Vladimir N. Uversky;Vladimir N. Uversky;Joel R. Gillespie;Anthony L. Fink.
Proteins (2000)

2373 Citations

Intrinsically Disordered Proteins

Vladimir N. Uversky;Vladimir N. Uversky;Vladimir N. Uversky.
(2014)

2242 Citations

The unfoldomics decade: an update on intrinsically disordered proteins

A Keith Dunker;Christopher J Oldfield;Jingwei Meng;Pedro Romero.
BMC Genomics (2008)

1981 Citations

Natively unfolded proteins: a point where biology waits for physics.

Vladimir N. Uversky.
Protein Science (2002)

1960 Citations

Classification of intrinsically disordered regions and proteins.

Robin van der Lee;Robin van der Lee;Marija Buljan;Benjamin Lang;Robert J. Weatheritt.
Chemical Reviews (2014)

1557 Citations

Study of the "molten globule" intermediate state in protein folding by a hydrophobic fluorescent probe.

G. V. Semisotnov;N. A. Rodionova;O. I. Razgulyaev;V. N. Uversky.
Biopolymers (1991)

1429 Citations

Intrinsically Disordered Proteins in Human Diseases: Introducing the D2 Concept

Vladimir N. Uversky;Christopher J. Oldfield;A. Keith Dunker.
Annual Review of Biophysics (2008)

1265 Citations

Evidence for a partially folded intermediate in alpha-synuclein fibril formation.

Vladimir N. Uversky;Jie Li;Anthony L. Fink.
Journal of Biological Chemistry (2001)

1245 Citations

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