D-Index & Metrics Best Publications

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
Biology and Biochemistry D-index 64 Citations 13,320 238 World Ranking 6311 National Ranking 2967

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Enzyme
  • Biochemistry

Wei-Jun Qian spends much of his time researching Proteomics, Proteome, Chromatography, Mass spectrometry and Peptide. Many of his research projects under Proteomics are closely connected to Sample processing with Sample processing, tying the diverse disciplines of science together. To a larger extent, Wei-Jun Qian studies Biochemistry with the aim of understanding Proteome.

In the subject of general Chromatography, his work in Extraction is often linked to Quantile, thereby combining diverse domains of study. The Mass spectrometry study combines topics in areas such as Biological system, Glycosylation and Resolution. His Peptide research includes themes of Residue, Reversed-phase chromatography, Elution and Sequence.

His most cited work include:

  • Human Plasma N-Glycoproteome Analysis by Immunoaffinity Subtraction, Hydrazide Chemistry, and Mass Spectrometry (365 citations)
  • Detection and Imaging of Zinc Secretion from Pancreatic β-Cells Using a New Fluorescent Zinc Indicator (341 citations)
  • DAnTE: a statistical tool for quantitative analysis of -omics data (321 citations)

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

His primary scientific interests are in Proteomics, Proteome, Chromatography, Biochemistry and Quantitative proteomics. He interconnects Tandem mass spectrometry, Bioinformatics, Blood proteins, Cell biology and Computational biology in the investigation of issues within Proteomics. Wei-Jun Qian has included themes like Oxidative stress, Cell and Islet, Pancreatic islets in his Cell biology study.

His research on Proteome frequently connects to adjacent areas such as Biomarker discovery. Chromatography is closely attributed to Peptide in his research. His biological study spans a wide range of topics, including Blood plasma and Resolution.

He most often published in these fields:

  • Proteomics (43.44%)
  • Proteome (29.92%)
  • Chromatography (25.00%)

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

  • Proteomics (43.44%)
  • Computational biology (16.39%)
  • Proteome (29.92%)

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

His scientific interests lie mostly in Proteomics, Computational biology, Proteome, Cell biology and Oxidative stress. His Proteomics research includes elements of Cell, Thiol, Inflammation, Cysteine and Mass spectrometry. Mass spectrometry is the subject of his research, which falls under Chromatography.

His Quantitative proteomics research extends to Chromatography, which is thematically connected. His research integrates issues of Sample preparation, Liquid chromatography–mass spectrometry, Asymmetric waveform, Ion-mobility spectrometry and Top-down proteomics in his study of Computational biology. While the research belongs to areas of Proteome, Wei-Jun Qian spends his time largely on the problem of Membrane protein, intersecting his research to questions surrounding Serpin.

Between 2018 and 2021, his most popular works were:

  • High-Throughput Single Cell Proteomics Enabled by Multiplex Isobaric Labeling in a Nanodroplet Sample Preparation Platform (55 citations)
  • Architecture and subunit arrangement of native AMPA receptors elucidated by cryo-EM. (48 citations)
  • Proinsulin Secretion Is a Persistent Feature of Type 1 Diabetes. (35 citations)

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

  • Gene
  • Enzyme
  • Biochemistry

The scientist’s investigation covers issues in Proteomics, Oxidative stress, Proteome, Quantitative proteomics and Chromatography. His research in Proteomics is mostly focused on Tandem mass tag. His research in Oxidative stress focuses on subjects like Mitochondrion, which are connected to Phosphorylation and Oxidative phosphorylation.

His study in Proteome is interdisciplinary in nature, drawing from both In vitro, Cytotoxicity, Food additive, Toxicity and Food industry. The concepts of his Quantitative proteomics study are interwoven with issues in Cancer cell, Cell adhesion, Transduction, Kinase and Drug resistance. Many of his research projects under Chromatography are closely connected to Capillary action with Capillary action, tying the diverse disciplines of science together.

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

Detection and Imaging of Zinc Secretion from Pancreatic β-Cells Using a New Fluorescent Zinc Indicator

Kyle R Gee;Zhang-Lin Zhou;Wei-Jun Qian;Robert Kennedy.
Journal of the American Chemical Society (2002)

481 Citations

Human Plasma N-Glycoproteome Analysis by Immunoaffinity Subtraction, Hydrazide Chemistry, and Mass Spectrometry

Tao Liu;Wei Jun Qian;Marina A. Gritsenko;David G. Camp.
Journal of Proteome Research (2005)

472 Citations

DAnTE: a statistical tool for quantitative analysis of -omics data

Ashoka D. Polpitiya;Wei-Jun Qian;Navdeep Jaitly;Vladislav A. Petyuk.
Bioinformatics (2008)

432 Citations

Advances and Challenges in Liquid Chromatography-Mass Spectrometry-based Proteomics Profiling for Clinical Applications

Wei Jun Qian;Jon M. Jacobs;Tao Liu;David G. Camp.
Molecular & Cellular Proteomics (2006)

395 Citations

Probability-based evaluation of peptide and protein identifications from tandem mass spectrometry and SEQUEST analysis: the human proteome.

Wei Jun Qian;Tao Liu;Matthew E. Monroe;Eric F. Strittmatter.
Journal of Proteome Research (2005)

392 Citations

Utilizing Human Blood Plasma for Proteomic Biomarker Discovery

Jon M. Jacobs;Joshua N. Adkins;Wei Jun Qian;Tao Liu.
Journal of Proteome Research (2005)

367 Citations

Advances in Proteomics Data Analysis and Display Using an Accurate Mass and Time Tag Approach

Jennifer S D Zimmer;Matthew E. Monroe;Wei Jun Qian;Richard D. Smith.
Mass Spectrometry Reviews (2006)

349 Citations

Normalization Approaches for Removing Systematic Biases Associated with Mass Spectrometry and Label-Free Proteomics

Stephen J. Callister;Richard C. Barry;Joshua N. Adkins;Ethan T. Johnson.
Journal of Proteome Research (2006)

342 Citations

Nanodroplet processing platform for deep and quantitative proteome profiling of 10-100 mammalian cells.

Ying Zhu;Paul D. Piehowski;Rui Zhao;Jing Chen.
Nature Communications (2018)

285 Citations

Evaluation of Multiprotein Immunoaffinity Subtraction for Plasma Proteomics and Candidate Biomarker Discovery Using Mass Spectrometry

Tao Liu;Wei Jun Qian;Heather M. Mottaz;Marina A. Gritsenko.
Molecular & Cellular Proteomics (2006)

255 Citations

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