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

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
Biology and Biochemistry D-index 188 Citations 148,039 875 World Ranking 17 National Ranking 14
Best Scientists D-index 198 Citations 165,513 1,088 World Ranking 207 National Ranking 136

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 Cell biology, Proteomics, Biochemistry, Mass spectrometry and Tandem mass spectrometry. His Cell biology research incorporates themes from Genetics, Molecular biology, Cytoskeleton and Kinetochore. He combines subjects such as Proteome, Bioinformatics, Computational biology and Genomics with his study of Proteomics.

His biological study spans a wide range of topics, including Amino acid, Peptide sequence and Peptide. His Tandem mass spectrometry study incorporates themes from High-performance liquid chromatography, Data mining, Identification and Electrospray ionization. His Shotgun proteomics study combines topics from a wide range of disciplines, such as Proteolytic enzymes and Quantitative proteomics.

His most cited work include:

  • An Approach to Correlate Tandem Mass Spectral Data of Peptides with Amino Acid Sequences in a Protein Database (5254 citations)
  • Large-scale analysis of the yeast proteome by multidimensional protein identification technology. (4012 citations)
  • Large-scale analysis of the yeast proteome by multidimensional protein identification technology. (4012 citations)

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

John R. Yates mostly deals with Cell biology, Proteomics, Biochemistry, Proteome and Computational biology. His Cell biology research incorporates elements of Molecular biology, Transcription factor and Genetics. John R. Yates frequently studies issues relating to Mass spectrometry and Proteomics.

His biological study focuses on Tandem mass spectrometry. Tandem mass spectrometry is a subfield of Chromatography that John R. Yates tackles. His work on Bioinformatics expands to the thematically related Computational biology.

He most often published in these fields:

  • Cell biology (35.52%)
  • Proteomics (19.82%)
  • Biochemistry (17.80%)

What were the highlights of his more recent work (between 2018-2021)?

  • Racism (5.21%)
  • Cell biology (35.52%)
  • Inclusion (4.87%)

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

His scientific interests lie mostly in Racism, Cell biology, Inclusion, Diversity and Solidarity. His work deals with themes such as RNA, RNA interference, Proteome and Transcription, which intersect with Cell biology. His work in RNA addresses subjects such as Enzyme, which are connected to disciplines such as Yeast.

His Proteome research includes elements of Sperm, Proteomics, Computational biology and Mass spectrometry. The concepts of his Computational biology study are interwoven with issues in Drug, Drug target, Thermal shift assay and Protein purification. Inclusion is intertwined with Public relations, Viewpoints, Workforce and Commit in his research.

Between 2018 and 2021, his most popular works were:

  • Exosomes regulate neurogenesis and circuit assembly (54 citations)
  • Structural analysis of full-length SARS-CoV-2 spike protein from an advanced vaccine candidate. (52 citations)
  • Evolutionary Persistence of DNA Methylation for Millions of Years after Ancient Loss of a De Novo Methyltransferase. (35 citations)

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

  • Gene
  • Enzyme
  • DNA

John R. Yates spends much of his time researching Cell biology, Computational biology, Proteomics, Proteome and Mass spectrometry. His Cell biology research is multidisciplinary, relying on both Lipid metabolism, Messenger RNA and Transcription. The Computational biology study combines topics in areas such as Epitope, Cryo-electron microscopy, Immunogenicity and Glycan.

His studies deal with areas such as Proteins metabolism and Protein Interaction Map as well as Proteomics. His Proteome research is multidisciplinary, incorporating elements of Biological pathway, Sperm, Acrosome reaction, Oocyte and Peptide. His Mass spectrometry study is associated with Chromatography.

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

An Approach to Correlate Tandem Mass Spectral Data of Peptides with Amino Acid Sequences in a Protein Database

Jimmy K. Eng;Ashley L. McCormack;John R. Yates.
Journal of the American Society for Mass Spectrometry (1994)

7163 Citations

Large-scale analysis of the yeast proteome by multidimensional protein identification technology.

Michael P. Washburn;Dirk Wolters;John R. Yates;John R. Yates.
Nature Biotechnology (2001)

5648 Citations

Direct analysis of protein complexes using mass spectrometry

Andrew J. Link;Jimmy Eng;David M. Schieltz;Edwin Carmack.
Nature Biotechnology (1999)

2960 Citations

A Model for Random Sampling and Estimation of Relative Protein Abundance in Shotgun Proteomics

Hongbin Liu;Hongbin Liu;Rovshan G. Sadygov;John R. Yates;John R. Yates.
Analytical Chemistry (2004)

2841 Citations

Wnt proteins are lipid-modified and can act as stem cell growth factors

Karl Willert;Jeffrey D. Brown;Esther Danenberg;Andrew W. Duncan.
Nature (2003)

2621 Citations

An Automated Multidimensional Protein Identification Technology for Shotgun Proteomics

Dirk A. Wolters;Michael P. Washburn;John R. Yates.
Analytical Chemistry (2001)

2238 Citations

A proteomic view of the Plasmodium falciparum life cycle

Laurence Florens;Michael P. Washburn;J. Dale Raine;Robert M. Anthony.
Nature (2002)

1567 Citations

Method to Correlate Tandem Mass Spectra of Modified Peptides to Amino Acid Sequences in the Protein Database

John R. Yates;Jimmy K. Eng;Ashley L. McCormack;David. Schieltz.
Analytical Chemistry (1995)

1560 Citations

Protein sequencing by tandem mass spectrometry

Donald F. Hunt;John R. Yates;Jeffrey Shabanowitz;Scott Winston.
Proceedings of the National Academy of Sciences of the United States of America (1986)

1529 Citations

The hMre11/hRad50 protein complex and Nijmegen breakage syndrome: linkage of double-strand break repair to the cellular DNA damage response.

James P Carney;James P Carney;Richard S Maser;Heidi Olivares;Elizabeth M Davis.
Cell (1998)

1389 Citations

Editorial Boards

Journal of Proteome Research
(Impact Factor: 5.37)

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