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Genetics
China
2024
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Genetics and Molecular Biology
China
2024

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 110 529 505 268 255 382 60655
Molecular Biology 110 366 335 211 189 382 60655

Michael Q. Zhang publications per year

The chart shows the history of publications by Michael Q. Zhang between 1986 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Michael Q. Zhang published across 40 years, from 1986 to 2025, averaging 11.1 papers a year. Output peaked at 33 publications in 2002. 19 of the 442 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1986 to 2025. Vertical axis: number of publications, 0 to 33. Peak 33 publications in 2002. 1986: 1 publication 1987: 2 publications 1988: 5 publications 1989: 3 publications 1990: 4 publications 1991: 2 publications 1992: 0 publications 1993: 3 publications 1994: 2 publications 1995: 1 publication 1996: 0 publications 1997: 1 publication 1998: 8 publications 1999: 9 publications 2000: 7 publications 2001: 9 publications 2002: 33 publications 2003: 7 publications 2004: 9 publications 2005: 13 publications 2006: 14 publications 2007: 22 publications 2008: 19 publications 2009: 10 publications 2010: 7 publications 2011: 19 publications 2012: 17 publications 2013: 19 publications 2014: 21 publications 2015: 26 publications 2016: 19 publications 2017: 21 publications 2018: 20 publications 2019: 17 publications 2020: 12 publications 2021: 20 publications 2022: 9 publications 2023: 12 publications 2024: 7 publications 2025: 12 publications
1986 2025

442 publications in total across all disciplines

View publications per year as a table
Michael Q. Zhang: publications per year, 1986 to 2025
Year Publications
1986 1
1987 2
1988 5
1989 3
1990 4
1991 2
1992 0
1993 3
1994 2
1995 1
1996 0
1997 1
1998 8
1999 9
2000 7
2001 9
2002 33
2003 7
2004 9
2005 13
2006 14
2007 22
2008 19
2009 10
2010 7
2011 19
2012 17
2013 19
2014 21
2015 26
2016 19
2017 21
2018 20
2019 17
2020 12
2021 20
2022 9
2023 12
2024 7
2025 12
Total 442
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Michael Q. Zhang publication distribution in Molecular Biology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Molecular Biology in 2026. The highlighted bar marks where Michael Q. Zhang sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 53 bars. Horizontal axis: publications, 47–56 to 564+. Vertical axis: number of scientists, 0 to 177. Most scientists, 177, have 117–126 publications. The last bar groups every scientist with 564 publications or more. The highlighted bar, 377–386 publications, is where this scientist sits. 47–56 publications: 7 scientists 57–66 publications: 17 scientists 67–76 publications: 65 scientists 77–86 publications: 90 scientists 87–96 publications: 125 scientists 97–106 publications: 131 scientists 107–116 publications: 162 scientists 117–126 publications: 177 scientists 127–136 publications: 158 scientists 137–146 publications: 158 scientists 147–156 publications: 146 scientists 157–166 publications: 159 scientists 167–176 publications: 131 scientists 177–186 publications: 110 scientists 187–196 publications: 112 scientists 197–206 publications: 100 scientists 207–216 publications: 89 scientists 217–226 publications: 98 scientists 227–236 publications: 74 scientists 237–246 publications: 72 scientists 247–256 publications: 63 scientists 257–266 publications: 53 scientists 267–276 publications: 54 scientists 277–286 publications: 49 scientists 287–296 publications: 52 scientists 297–306 publications: 43 scientists 307–316 publications: 46 scientists 317–326 publications: 41 scientists 327–336 publications: 42 scientists 337–346 publications: 31 scientists 347–356 publications: 28 scientists 357–366 publications: 29 scientists 367–376 publications: 26 scientists 377–386 publications: 24 scientists 387–396 publications: 24 scientists 397–406 publications: 14 scientists 407–416 publications: 13 scientists 417–426 publications: 20 scientists 427–436 publications: 12 scientists 437–446 publications: 20 scientists 447–456 publications: 11 scientists 457–466 publications: 10 scientists 467–476 publications: 14 scientists 477–486 publications: 14 scientists 487–496 publications: 10 scientists 497–506 publications: 13 scientists 507–516 publications: 13 scientists 517–526 publications: 2 scientists 527–536 publications: 4 scientists 537–546 publications: 6 scientists 547–556 publications: 8 scientists 557–563 publications: 6 scientists 564+ publications: 100 scientists
47–56 publications 564+

This scientist: 382 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 564 publications or more.

View publications distribution as a table
Number of Molecular Biology scientists by publication count, Research.com 2026 ranking edition. Based on 3,076 ranked scientists.
Publications Scientists This scientist
47–56 7
57–66 17
67–76 65
77–86 90
87–96 125
97–106 131
107–116 162
117–126 177
127–136 158
137–146 158
147–156 146
157–166 159
167–176 131
177–186 110
187–196 112
197–206 100
207–216 89
217–226 98
227–236 74
237–246 72
247–256 63
257–266 53
267–276 54
277–286 49
287–296 52
297–306 43
307–316 46
317–326 41
327–336 42
337–346 31
347–356 28
357–366 29
367–376 26
377–386 24 382
387–396 24
397–406 14
407–416 13
417–426 20
427–436 12
437–446 20
447–456 11
457–466 10
467–476 14
477–486 14
487–496 10
497–506 13
507–516 13
517–526 2
527–536 4
537–546 6
547–556 8
557–563 6
564+ 100
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Michael Q. Zhang D-index placement in Molecular Biology in 2026

The chart shows the D-index (discipline H-index) distribution of Molecular Biology scientists ranked by Research.com in 2026. The highlighted bar marks where Michael Q. Zhang sits on this spectrum.

No. of scientists
25 50 75 100 125
Bar chart with 54 bars. Horizontal axis: D-Index, 40–41 to 145+. Vertical axis: number of scientists, 0 to 131. Most scientists, 131, have 64–65 D-Index. The last bar groups every scientist with 145 D-Index or more. The highlighted bar, 110–111 D-Index, is where this scientist sits. 40–41 D-Index: 36 scientists 42–43 D-Index: 101 scientists 44–45 D-Index: 115 scientists 46–47 D-Index: 121 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 130 scientists 52–53 D-Index: 106 scientists 54–55 D-Index: 116 scientists 56–57 D-Index: 113 scientists 58–59 D-Index: 129 scientists 60–61 D-Index: 120 scientists 62–63 D-Index: 105 scientists 64–65 D-Index: 131 scientists 66–67 D-Index: 95 scientists 68–69 D-Index: 97 scientists 70–71 D-Index: 106 scientists 72–73 D-Index: 83 scientists 74–75 D-Index: 89 scientists 76–77 D-Index: 77 scientists 78–79 D-Index: 70 scientists 80–81 D-Index: 73 scientists 82–83 D-Index: 60 scientists 84–85 D-Index: 48 scientists 86–87 D-Index: 45 scientists 88–89 D-Index: 50 scientists 90–91 D-Index: 31 scientists 92–93 D-Index: 51 scientists 94–95 D-Index: 43 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 39 scientists 100–101 D-Index: 41 scientists 102–103 D-Index: 29 scientists 104–105 D-Index: 33 scientists 106–107 D-Index: 35 scientists 108–109 D-Index: 20 scientists 110–111 D-Index: 38 scientists 112–113 D-Index: 19 scientists 114–115 D-Index: 28 scientists 116–117 D-Index: 13 scientists 118–119 D-Index: 23 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 15 scientists 124–125 D-Index: 11 scientists 126–127 D-Index: 21 scientists 128–129 D-Index: 7 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 14 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 9 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 16 scientists 142–143 D-Index: 7 scientists 144 D-Index: 7 scientists 145+ D-Index: 100 scientists
40–41 D-Index 145+

This scientist: 110 D-Index — 88th percentile

88% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 145 D-Index or more.

View D-Index distribution as a table
Number of Molecular Biology scientists by D-index, Research.com 2026 ranking edition. Based on 3,076 ranked scientists.
D-Index Scientists This scientist
40–41 36
42–43 101
44–45 115
46–47 121
48–49 118
50–51 130
52–53 106
54–55 116
56–57 113
58–59 129
60–61 120
62–63 105
64–65 131
66–67 95
68–69 97
70–71 106
72–73 83
74–75 89
76–77 77
78–79 70
80–81 73
82–83 60
84–85 48
86–87 45
88–89 50
90–91 31
92–93 51
94–95 43
96–97 38
98–99 39
100–101 41
102–103 29
104–105 33
106–107 35
108–109 20
110–111 38 110
112–113 19
114–115 28
116–117 13
118–119 23
120–121 16
122–123 15
124–125 11
126–127 21
128–129 7
130–131 13
132–133 14
134–135 17
136–137 9
138–139 8
140–141 16
142–143 7
144 7
145+ 100
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Research.com Recognitions

  • 2024 - Research.com Genetics in China Leader Award
  • 2024 - Research.com Genetics and Molecular Biology in China Leader Award
  • 2023 - Research.com Genetics in China Leader Award
  • 2023 - Research.com Genetics and Molecular Biology in China Leader Award
  • 2022 - Research.com Genetics and Molecular Biology in China Leader Award

Overview

Michael Q. Zhang is affiliated with The University of Texas at Dallas in the United States. Their primary research area falls under Biochemistry, Genetics, and Molecular Biology, with a significant focus on Molecular Biology, Cancer Research, Plant Science, Immunology, and Pulmonary and Respiratory Medicine.

The main topics of their work include:

  • Genomics and Chromatin Dynamics
  • RNA Research and Splicing
  • Single-cell and Spatial Transcriptomics
  • Gene Expression and Cancer Classification
  • Bioinformatics and Genomic Networks
  • Cancer Genomics and Diagnostics
  • RNA Modifications and Cancer

Michael Q. Zhang has contributed to numerous publications. Some of the recent papers authored or co-authored by them are:

  • SEAM is a spatial single nuclear metabolomics method for dissecting tissue microenvironment, 2021, Nature Methods
  • SODB facilitates comprehensive exploration of spatial omics data, 2023, Nature Methods
  • Integrative Genomic Analysis of Gemcitabine Resistance in Pancreatic Cancer by Patient-derived Xenograft Models, 2021, Clinical Cancer Research
  • The loss of heterochromatin is associated with multiscale three-dimensional genome reorganization and aberrant transcription during cellular senescence, 2021, Genome Research
  • Adeno-to-squamous transition drives resistance to KRAS inhibition in LKB1 mutant lung cancer, 2024, Cancer Cell

The scientist frequently collaborates with several co-authors, including:

  • Minglei Shi
  • Yang Chen
  • Juntao Gao
  • Zhiyuan Yuan
  • Zhenyi Wang

Michael Q. Zhang often publishes in a range of venues, with multiple papers appearing in these journals and repositories:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Genome Biology
  • Nature Methods
  • Nucleic Acids Research
  • BMC Bioinformatics

Best Publications

  • Integrative analysis of 111 reference human epigenomes

    Anshul Kundaje;Wouter Meuleman;Wouter Meuleman;Jason Ernst

  • 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

  • Combinatorial patterns of histone acetylations and methylations in the human genome

    Zhibin Wang;Chongzhi Zang;Jeffrey A. Rosenfeld;Jeffrey A. Rosenfeld;Dustin E. Schones

  • ESEfinder: A web resource to identify exonic splicing enhancers.

    Luca Cartegni;Jinhua Wang;Zhengwei Zhu;Michael Q. Zhang

  • 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

  • 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

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

    Ya Guo;Quan Xu;Quan Xu;Daniele Canzio;Jia Shou;Jia Shou

  • 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

  • Epigenomic Analysis of Multilineage Differentiation of Human Embryonic Stem Cells

    Wei Xie;Matthew D. Schultz;Ryan Lister;Zhonggang Hou

  • Network-based global inference of human disease genes

    Xuebing Wu;Rui Jiang;Michael Q Zhang;Michael Q Zhang;Shao Li

  • Regulating Gene Expression through RNA Nuclear Retention

    Kannanganattu V. Prasanth;Supriya G. Prasanth;Zhenyu Xuan;Stephen Hearn

  • Comparison of sequencing-based methods to profile DNA methylation and identification of monoallelic epigenetic modifications

    R Alan Harris;Ting Wang;Cristian Coarfa;Raman P. Nagarajan

  • Identification of functional exonic splicing enhancer motifs recognized by individual SR proteins

    Hong Xiang Liu;Michael Zhang;Adrian R. Krainer

  • A global transcriptional regulatory role for c-Myc in Burkitt's lymphoma cells

    Zirong Li;Sara Van Calcar;Chunxu Qu;Webster K. Cavenee

  • Characterization of RNase R-digested cellular RNA source that consists of lariat and circular RNAs from pre-mRNA splicing

    Hitoshi Suzuki;Yuhong Zuo;Jinhua Wang;Michael Q. Zhang

  • NONCODE 2016: an informative and valuable data source of long non-coding RNAs

    Yi Zhao;Hui Li;Shuangsang Fang;Yue Kang

  • SCPD: a promoter database of the yeast Saccharomyces cerevisiae.

    Jian Zhu;Michael Q. Zhang

  • An increased specificity score matrix for the prediction of SF2/ASF-specific exonic splicing enhancers

    Philip J. Smith;Chaolin Zhang;Chaolin Zhang;Jinhua Wang;Shern L. Chew

  • Statistical Features of Human Exons and Their Flanking Regions

    M. Q. Zhang

  • Epigenomic Analysis of Multi-lineage Differentiation of Human Embryonic Stem Cells

    Benjamin Garcia;Wei Xie;Matt Schultz;Ryan Lister

Frequent Co-Authors

Tao Jiang
Tao Jiang University of California, Riverside
Ying Xu
Ying Xu University of Georgia
Andrew D. Smith
Andrew D. Smith University of Southern California
Adrian R. Krainer
Adrian R. Krainer Cold Spring Harbor Laboratory
Xuegong Zhang
Xuegong Zhang Tsinghua University
Bing Ren
Bing Ren New York Genome Center
Weilong Guo
Weilong Guo China Agricultural University
Junwen Wang
Junwen Wang Mayo Clinic
Scott W. Lowe
Scott W. Lowe Memorial Sloan Kettering Cancer Center
Dayong Jin
Dayong Jin University of Technology Sydney

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