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D-Index & Metrics

Biology and Biochemistry

D-Index
85
Citations
35817
World Ranking
3086
National Ranking
1562

Overview

Eric W. Deutsch is affiliated with the University of Washington in the United States. Their research primarily focuses on fields related to biochemistry, genetics, molecular biology, and chemistry, with substantial contributions to molecular biology and spectroscopy subfields.

The scientist's work covers several key research topics, including:

  • Advanced Proteomics Techniques and Applications
  • Metabolomics and Mass Spectrometry Studies
  • Mass Spectrometry Techniques and Applications
  • Genomics and Phylogenetic Studies
  • Machine Learning in Bioinformatics
  • RNA and protein synthesis mechanisms
  • Biomedical Text Mining and Ontologies

Eric W. Deutsch's publication record includes papers in journals such as the Journal of Proteome Research, Nucleic Acids Research, Nature Communications, and Molecular Cell. Their notable recent publications are:

  • The ProteomeXchange consortium at 10 years: 2023 update (2022, Nucleic Acids Research)
  • Advances and Utility of the Human Plasma Proteome (2021, Journal of Proteome Research)

While some influential papers listing other first authors include:

  • Standardized annotation of translated open reading frames (2022, Nature Biotechnology)
  • A high-stringency blueprint of the human proteome (2020, Nature Communications)
  • Evolutionary origins and interactomes of human, young microproteins and small peptides translated from short open reading frames (2023, Molecular Cell)

The frequent co-authors who have collaborated extensively with Eric W. Deutsch include Zhi Sun, Juan Antonio Vizcaíno, Yasset Pérez-Riverol, Robert L. Moritz, and Luis Mendoza. Their research has been published predominantly in venues such as:

  • Journal of Proteome Research
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nucleic Acids Research
  • Nature Communications
  • Molecular & Cellular Proteomics

Best Publications

  • A cross-platform toolkit for mass spectrometry and proteomics

    Matthew C Chambers;Brendan Maclean;Robert Burke;Dario Amodei

  • ProteomeXchange provides globally coordinated proteomics data submission and dissemination

    Juan A. Vizcaíno;Eric W Deutsch;Rui Wang;Attila Csordas

  • A common open representation of mass spectrometry data and its application to proteomics research

    Patrick G A Pedrioli;Jimmy K Eng;Robert Hubley;Mathijs Vogelzang

  • The PeptideAtlas project

    Frank Desiere;Eric W. Deutsch;Nichole L. King;Alexey I. Nesvizhskii

  • The ProteomeXchange consortium in 2017: supporting the cultural change in proteomics public data deposition

    Eric W. Deutsch;Attila Csordas;Zhi Sun;Andrew Jarnuczak

  • A guided tour of the Trans‐Proteomic Pipeline

    Eric W. Deutsch;Luis Mendoza;David Shteynberg;Terry Farrah

  • The minimum information about a proteomics experiment (MIAPE)

    Chris F. Taylor;Chris F. Taylor;Norman W. Paton;Norman W. Paton;Kathryn S. Lilley;Kathryn S. Lilley;Pierre Alain Binz;Pierre Alain Binz

  • mzML - a Community Standard for Mass Spectrometry Data

    Lennart Martens;Matthew Chambers;Marc Sturm;Darren Kessner

  • The ProteomeXchange consortium in 2020: enabling 'big data' approaches in proteomics.

    Eric W. Deutsch;Nuno Bandeira;Nuno Bandeira;Vagisha Sharma;Yasset Pérez-Riverol

  • Development and validation of a spectral library searching method for peptide identification from MS/MS.

    Henry Lam;Eric W. Deutsch;James S. Eddes;Jimmy K. Eng;Jimmy K. Eng

  • Promoting coherent minimum reporting guidelines for biological and biomedical investigations: the MIBBI project

    Chris F. Taylor;Chris F. Taylor;Dawn Field;Susanna Assunta Sansone;Susanna Assunta Sansone;Jan Aerts

  • PeptideAtlas: a resource for target selection for emerging targeted proteomics workflows

    Eric W Deutsch;Henry Lam;Ruedi Aebersold

  • iProphet: Multi-level Integrative Analysis of Shotgun Proteomic Data Improves Peptide and Protein Identification Rates and Error Estimates

    David Shteynberg;Eric W. Deutsch;Henry H N Lam;Jimmy K. Eng

  • Design and implementation of microarray gene expression markup language (MAGE-ML)

    Paul T Spellman;Michael Miller;Jason Stewart;Charles Troup

  • Targeted Peptide Measurements in Biology and Medicine: Best Practices for Mass Spectrometry-based Assay Development Using a Fit-for-Purpose Approach

    Steven A. Carr;Susan E. Abbatiello;Bradley L. Ackermann;Christoph Borchers

  • Proteome-wide cellular protein concentrations of the human pathogen Leptospira interrogans

    Johan Malmström;Martin Beck;Alexander Schmidt;Vinzenz Lange

  • A High-Confidence Human Plasma Proteome Reference Set with Estimated Concentrations in PeptideAtlas

    Terry Farrah;Eric W. Deutsch;Gilbert S. Omenn;Gilbert S. Omenn;David S. Campbell

  • The human proteome project: Current state and future direction

    Pierre Legrain;Ruedi Aebersold;Ruedi Aebersold;Alexander Archakov;Amos Marc Bairoch

  • A repository of assays to quantify 10,000 human proteins by SWATH-MS.

    George Rosenberger;George Rosenberger;Ching Chiek Gene Koh;Ching Chiek Gene Koh;Tiannan Guo;Hannes L. Röst;Hannes L. Röst

  • A HUPO test sample study reveals common problems in mass spectrometry–based proteomics

    Alexander W. Bell;Eric W. Deutsch;Catherine E. Au;Robert E. Kearney

Frequent Co-Authors

Robert L. Moritz
Robert L. Moritz Institute for Systems Biology
Gilbert S. Omenn
Gilbert S. Omenn University of Michigan–Ann Arbor
Henning Hermjakob
Henning Hermjakob European Bioinformatics Institute
Juan Antonio Vizcaíno
Juan Antonio Vizcaíno European Bioinformatics Institute
Scott F. Anderson
Scott F. Anderson University of Washington
Andrew R. Jones
Andrew R. Jones University of Liverpool
Young Ki Paik
Young Ki Paik Yonsei University
Mark S. Baker
Mark S. Baker Macquarie University
Nuno Bandeira
Nuno Bandeira University of California, San Diego

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