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D-Index & Metrics

Biology and Biochemistry

D-Index
94
Citations
54047
World Ranking
1958
National Ranking
1071

Overview

Alexey I. Nesvizhskii is affiliated with the University of Michigan-Ann Arbor in the United States. Their research spans several fields, primarily focusing on biochemistry, genetics, and molecular biology, with additional work in chemistry. They have contributed extensively to subfields such as molecular biology, spectroscopy, cell biology, oncology, and pulmonary and respiratory medicine.

The main topics of Nesvizhskii's work include:

  • Advanced Proteomics Techniques and Applications
  • Mass Spectrometry Techniques and Applications
  • Metabolomics and Mass Spectrometry Studies
  • Glycosylation and Glycoproteins Research
  • Cancer Genomics and Diagnostics
  • RNA modifications and cancer
  • Genomics and Phylogenetic Studies

Their notable recent publications include:

  • "Proteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma," 2020, Cell
  • "Proteogenomic and metabolomic characterization of human glioblastoma," 2021, Cancer Cell
  • "Philosopher: a versatile toolkit for shotgun proteomics data analysis," 2020, Nature Methods
  • "Proteogenomic characterization of pancreatic ductal adenocarcinoma," 2021, Cell
  • "Proteogenomic Characterization of Endometrial Carcinoma," 2020, Cell

Frequent co-authors collaborating with Nesvizhskii include:

  • Fengchao Yu
  • Felipe da Veiga Leprevost
  • Daniel A. Polasky
  • Marcin Cieślik
  • Guo Ci Teo

The scientist's publications frequently appear in venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • PROTEOMICS
  • Nature Communications
  • Zenodo (CERN European Organization for Nuclear Research)
  • Cancer Research

Best Publications

  • Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search.

    Andrew Keller;Alexey I. Nesvizhskii;Eugene Kolker;Ruedi Aebersold

  • A statistical model for identifying proteins by tandem mass spectrometry.

    Alexey I. Nesvizhskii;Andrew Keller;Eugene Kolker;Ruedi Aebersold

  • The CRAPome: a contaminant repository for affinity purification–mass spectrometry data

    Dattatreya Mellacheruvu;Zachary Wright;Amber L. Couzens;Jean Philippe Lambert

  • MSFragger: ultrafast and comprehensive peptide identification in mass spectrometry-based proteomics

    Andy T Kong;Felipe V Leprevost;Dmitry M Avtonomov;Dattatreya Mellacheruvu

  • The Landscape of Circular RNA in Cancer.

    Josh N. Vo;Marcin Cieslik;Yajia Zhang;Sudhanshu Shukla;Sudhanshu Shukla

  • Interpretation of Shotgun Proteomic Data The Protein Inference Problem

    Alexey I. Nesvizhskii;Ruedi Aebersold;Ruedi Aebersold

  • The PeptideAtlas project

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

  • A guided tour of the Trans‐Proteomic Pipeline

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

  • SAINT: probabilistic scoring of affinity purification-mass spectrometry data

    Hyungwon Choi;Brett Larsen;Zhen Yuan Lin;Ashton Breitkreutz

  • BioContainers: an open-source and community-driven framework for software standardization.

    Felipe da Veiga Leprevost;Björn A Grüning;Saulo Alves Aflitos;Hannes L Röst

  • Analysis and validation of proteomic data generated by tandem mass spectrometry.

    Alexey I Nesvizhskii;Olga Vitek;Ruedi Aebersold;Ruedi Aebersold

  • A global protein kinase and phosphatase interaction network in yeast.

    Ashton Breitkreutz;Hyungwon Choi;Jeffrey R. Sharom;Lorrie Boucher

  • Proteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma

    Michael A. Gillette;Michael A. Gillette;Shankha Satpathy;Song Cao;Saravana M. Dhanasekaran

  • Proteogenomics: concepts, applications and computational strategies

    Alexey I Nesvizhskii

  • DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomics

    Chih Chiang Tsou;Dmitry Avtonomov;Brett Larsen;Monika Tucholska

  • An embryonic stem cell chromatin remodeling complex, esBAF, is essential for embryonic stem cell self-renewal and pluripotency.

    Lena Ho;Jehnna L. Ronan;Jiang Wu;Brett T. Staahl

  • SAINTexpress: Improvements and additional features in Significance Analysis of INTeractome software

    Guoci Teo;Guomin Liu;Jianping Zhang;Alexey I. Nesvizhskii

  • A survey of computational methods and error rate estimation procedures for peptide and protein identification in shotgun proteomics.

    Alexey I. Nesvizhskii

  • 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

  • The Need for Guidelines in Publication of Peptide and Protein Identification Data Working Group On Publication Guidelines For Peptide And Protein Identification Data

    Steven Carr;Ruedi Aebersold;Michael Baldwin;Al Burlingame

Frequent Co-Authors

Anne-Claude Gingras
Anne-Claude Gingras Lunenfeld-Tanenbaum Research Institute
Arul M. Chinnaiyan
Arul M. Chinnaiyan University of Michigan–Ann Arbor
Gilbert S. Omenn
Gilbert S. Omenn University of Michigan–Ann Arbor
Jimmy K. Eng
Jimmy K. Eng University of Washington
Saravana M. Dhanasekaran
Saravana M. Dhanasekaran University of Michigan–Ann Arbor
Eric W. Deutsch
Eric W. Deutsch University of Washington
Maciej Wiznerowicz
Maciej Wiznerowicz Poznan University of Medical Sciences
Brian Raught
Brian Raught Princess Margaret Cancer Centre
Li Ding
Li Ding Washington University in St. Louis

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