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 50 Citations 10,945 110 World Ranking 10364 National Ranking 4530

Overview

What is he best known for?

The fields of study he is best known for:

  • Quantum mechanics
  • Gene
  • Enzyme

Tao Liu spends much of his time researching Proteome, Proteomics, Chromatography, Mass spectrometry and Bioinformatics. His research in Proteome intersects with topics in Proteogenomics, Gene, Biomarker discovery, Computational biology and Peptide. His study of Quantitative proteomics is a part of Proteomics.

As a member of one scientific family, Tao Liu mostly works in the field of Quantitative proteomics, focusing on Selected reaction monitoring and, on occasion, Systems biology and Biochemistry. His study on Liquid chromatography–mass spectrometry, Tandem mass spectrometry and Resolution is often connected to PNGase F as part of broader study in Chromatography. Tao Liu interconnects Biomarker and Cerebrospinal fluid, Pathology in the investigation of issues within Bioinformatics.

His most cited work include:

  • Proteogenomic characterization of human colon and rectal cancer (831 citations)
  • Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer (446 citations)
  • Human Plasma N-Glycoproteome Analysis by Immunoaffinity Subtraction, Hydrazide Chemistry, and Mass Spectrometry (365 citations)

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

His scientific interests lie mostly in Proteomics, Chromatography, Proteome, Computational biology and Mass spectrometry. Particularly relevant to Quantitative proteomics is his body of work in Proteomics. His study looks at the intersection of Chromatography and topics like Blood proteins with Blood plasma.

His Proteome research is multidisciplinary, relying on both Transcriptome, Molecular biology, Gene, Biomarker discovery and Peptide. His work in Computational biology tackles topics such as Isobaric labeling which are related to areas like Tandem mass tag. His work carried out in the field of Mass spectrometry brings together such families of science as Reproducibility and Resolution.

He most often published in these fields:

  • Proteomics (36.21%)
  • Chromatography (20.26%)
  • Proteome (19.83%)

What were the highlights of his more recent work (between 2019-2021)?

  • Proteomics (36.21%)
  • Computational biology (17.67%)
  • Optics (10.34%)

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

Proteomics, Computational biology, Optics, Cancer research and Phosphoproteomics are his primary areas of study. Tao Liu studies Proteomics, focusing on Isobaric labeling in particular. His study in Isobaric labeling is interdisciplinary in nature, drawing from both Proteome and Liquid chromatography–mass spectrometry.

His Systems biology study in the realm of Computational biology interacts with subjects such as Histone H2B acetylation. His studies in Cancer research integrate themes in fields like Tumor microenvironment, Cancer, Histone and Neuroblastoma RAS viral oncogene homolog. The Phosphoproteomics study combines topics in areas such as Glioma, Tandem mass tag, Atypical teratoid rhabdoid tumor and Peptide.

Between 2019 and 2021, his most popular works were:

  • Proteogenomic Characterization of Endometrial Carcinoma. (56 citations)
  • Proteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma (43 citations)
  • An Improved Boosting to Amplify Signal with Isobaric Labeling (iBASIL) Strategy for Precise Quantitative Single-cell Proteomics. (32 citations)

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

  • Quantum mechanics
  • Gene
  • Enzyme

His primary scientific interests are in Proteomics, Phosphoproteomics, Proteogenomics, Computational biology and Cancer research. Tao Liu works in the field of Proteomics, namely Isobaric labeling. His Phosphoproteomics research incorporates themes from Epigenomics, KRAS and Genomics.

His Computational biology research is multidisciplinary, incorporating elements of Atypical teratoid rhabdoid tumor, Medulloblastoma, Glioma and Copy-number variation. His Cancer research research includes elements of Immune checkpoint, Cancer and Histone. The study incorporates disciplines such as Proteome, Systems biology and Mass spectrometry in addition to Sample preparation.

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

Proteogenomic characterization of human colon and rectal cancer

Bing Zhang;Jing Wang;Xiaojing Wang;Jing Zhu.
Nature (2014)

882 Citations

Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer

Hui Zhang;Tao Liu;Zhen Zhang;Samuel H. Payne.
Cell (2016)

536 Citations

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.
Molecular & Cellular Proteomics (2014)

489 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)

450 Citations

Reversed‐phase chromatography with multiple fraction concatenation strategy for proteome profiling of human MCF10A cells

Yuexi Wang;Feng Yang;Marina A. Gritsenko;Yingchun Wang.
Proteomics (2011)

414 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)

376 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)

376 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)

352 Citations

Mechanisms of competitive adsorption of Pb, Cu, and Cd on peat.

Fei Qin;Bei Wen;Xiao-Quan Shan;Ya-Ning Xie.
Environmental Pollution (2006)

279 Citations

Ischemia in Tumors Induces Early and Sustained Phosphorylation Changes in Stress Kinase Pathways but Does Not Affect Global Protein Levels

Philipp Mertins;Feng Yang;Tao Liu;D. R. Mani.
Molecular & Cellular Proteomics (2014)

258 Citations

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