D-Index & Metrics Best Publications
Genetics
China
2023
Genetics and Molecular Biology
China
2022

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
Genetics D-index 101 Citations 51,121 367 World Ranking 448 National Ranking 8

Research.com Recognitions

Awards & Achievements

2023 - Research.com Genetics in China Leader Award

2022 - Research.com Genetics and Molecular Biology in China Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Quantum mechanics

The scientist’s investigation covers issues in Genetics, Computational biology, Gene, Genome and Exon. His is involved in several facets of Genetics study, as is seen by his studies on Human genome, Epigenomics, DNA methylation, Gene regulatory network and Regulation of gene expression. In his work, Epigenome is strongly intertwined with Epigenetics, which is a subfield of Epigenomics.

Michael Q. Zhang has included themes like Gene expression and Transcriptional regulation in his Regulation of gene expression study. His Computational biology research incorporates elements of Annotation, Coding and DNA. The various areas that Michael Q. Zhang examines in his Exon study include Point mutation, RNA splicing, Intron and Genomic organization.

His most cited work include:

  • Comprehensive Identification of Cell Cycle–regulated Genes of the Yeast Saccharomyces cerevisiae by Microarray Hybridization (4559 citations)
  • Integrative analysis of 111 reference human epigenomes (3776 citations)
  • Combinatorial patterns of histone acetylations and methylations in the human genome (1777 citations)

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

His scientific interests lie mostly in Genetics, Computational biology, Gene, Genome and Chromatin. Human genome, DNA methylation, Exon, Promoter and Transcription factor are among the areas of Genetics where the researcher is concentrating his efforts. Within one scientific family, Michael Q. Zhang focuses on topics pertaining to Epigenetics under DNA methylation, and may sometimes address concerns connected to Epigenomics.

As a member of one scientific family, Michael Q. Zhang mostly works in the field of Exon, focusing on RNA splicing and, on occasion, Alternative splicing and RNA-binding protein. His studies examine the connections between Computational biology and genetics, as well as such issues in Regulation of gene expression, with regards to Cell biology and Transcriptional regulation. The Chromatin study combines topics in areas such as Histone and Chromatin immunoprecipitation.

He most often published in these fields:

  • Genetics (60.00%)
  • Computational biology (46.46%)
  • Gene (31.31%)

What were the highlights of his more recent work (between 2016-2021)?

  • Gene (31.31%)
  • Computational biology (46.46%)
  • Chromatin (21.41%)

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

Michael Q. Zhang mostly deals with Gene, Computational biology, Chromatin, Cell biology and Gene expression. Gene is a primary field of his research addressed under Genetics. His Computational biology research incorporates themes from Genome, Cell type, Locus and DNA methylation.

His Chromatin study combines topics from a wide range of disciplines, such as Regulation of gene expression, Transcription factor, Transcriptional regulation and CRISPR. His biological study spans a wide range of topics, including Cellular differentiation, H3K4me3, Chondrocyte, Transcription and Epigenetics. In the subject of general Gene expression, his work in Gene regulatory network is often linked to Feedback regulation, thereby combining diverse domains of study.

Between 2016 and 2021, his most popular works were:

  • NONCODEV5: a comprehensive annotation database for long non-coding RNAs. (215 citations)
  • Allelic reprogramming of 3D chromatin architecture during early mammalian development (212 citations)
  • Recurrently deregulated lncRNAs in hepatocellular carcinoma. (153 citations)

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

  • Gene
  • DNA
  • Quantum mechanics

Computational biology, Chromatin, Datasets as Topic, Artificial intelligence and Gene are his primary areas of study. The various areas that Michael Q. Zhang examines in his Computational biology study include CRISPR, DNA methylation, Genome, DNA and Fluorescence in situ hybridization. The study incorporates disciplines such as Regulation of gene expression, Biological system, Differential and Biological data in addition to Chromatin.

While the research belongs to areas of Regulation of gene expression, Michael Q. Zhang spends his time largely on the problem of Mef2, intersecting his research to questions surrounding Cell biology. His Gene study is concerned with the field of Genetics as a whole. His MRNA Sequencing, Cell, Cell Cycle Gene and Cell cycle study, which is part of a larger body of work in Genetics, is frequently linked to G2 Phase Cell Cycle Checkpoints, bridging the gap between disciplines.

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

Comprehensive Identification of Cell Cycle–regulated Genes of the Yeast Saccharomyces cerevisiae by Microarray Hybridization

Paul T. Spellman;Gavin Sherlock;Gavin Sherlock;Michael Q. Zhang;Vishwanath R. Iyer.
Molecular Biology of the Cell (1998)

6453 Citations

Integrative analysis of 111 reference human epigenomes

Anshul Kundaje;Wouter Meuleman;Wouter Meuleman;Jason Ernst.
Nature (2015)

4957 Citations

Combinatorial patterns of histone acetylations and methylations in the human genome

Zhibin Wang;Chongzhi Zang;Jeffrey A. Rosenfeld;Jeffrey A. Rosenfeld;Dustin E. Schones.
Nature Genetics (2008)

2437 Citations

ESEfinder: A web resource to identify exonic splicing enhancers.

Luca Cartegni;Jinhua Wang;Zhengwei Zhu;Michael Q. Zhang.
Nucleic Acids Research (2003)

1781 Citations

Analysis of the Vertebrate Insulator Protein CTCF-Binding Sites in the Human Genome

Tae Hoon Kim;Ziedulla K. Abdullaev;Andrew D. Smith;Keith A. Ching.
Cell (2007)

1185 Citations

The Argonaute family: tentacles that reach into RNAi, developmental control, stem cell maintenance, and tumorigenesis

Michelle A. Carmell;Zhenyu Xuan;Michael Q. Zhang;Gregory J. Hannon.
Genes & Development (2002)

1166 Citations

CRISPR Inversion of CTCF Sites Alters Genome Topology and Enhancer/Promoter Function

Ya Guo;Quan Xu;Quan Xu;Daniele Canzio;Jia Shou;Jia Shou.
Cell (2015)

827 Citations

A long nuclear-retained non-coding RNA regulates synaptogenesis by modulating gene expression.

Delphine Bernard;Kannanganattu V Prasanth;Kannanganattu V Prasanth;Vidisha Tripathi;Sabrina Colasse.
The EMBO Journal (2010)

750 Citations

Network-based global inference of human disease genes

Xuebing Wu;Rui Jiang;Michael Q Zhang;Michael Q Zhang;Shao Li.
Molecular Systems Biology (2008)

728 Citations

Regulating Gene Expression through RNA Nuclear Retention

Kannanganattu V. Prasanth;Supriya G. Prasanth;Zhenyu Xuan;Stephen Hearn.
Cell (2005)

707 Citations

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