2022 - Research.com Best Scientist Award
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.
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.
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.
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.
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)
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)
Direct analysis of protein complexes using mass spectrometry
Andrew J. Link;Jimmy Eng;David M. Schieltz;Edwin Carmack.
Nature Biotechnology (1999)
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)
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)
An Automated Multidimensional Protein Identification Technology for Shotgun Proteomics
Dirk A. Wolters;Michael P. Washburn;John R. Yates.
Analytical Chemistry (2001)
A proteomic view of the Plasmodium falciparum life cycle
Laurence Florens;Michael P. Washburn;J. Dale Raine;Robert M. Anthony.
Nature (2002)
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)
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)
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)
Journal of Proteome Research
(Impact Factor: 5.37)
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