World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
71
Citations
33857
World Ranking
6500
National Ranking
206

Yue-Qin Chen publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Yue-Qin Chen sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 414 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 849 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 950 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 841 scientists 207–216 publications: 735 scientists 217–226 publications: 709 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 418 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 197 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 60 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 132 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

Yue-Qin Chen D-index placement in Biology and Biochemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Yue-Qin Chen sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 317 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 900 scientists 52–53 D-Index: 1,026 scientists 54–55 D-Index: 1,150 scientists 56–57 D-Index: 1,236 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,163 scientists 62–63 D-Index: 1,131 scientists 64–65 D-Index: 1,032 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 715 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 72 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40 D-Index 167+

This scientist: 71 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 167 D-Index or more.

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Gene expression

Yue-Qin Chen spends much of his time researching microRNA, RNA, Gene expression profiling, Gene and Genetics. His microRNA research incorporates themes from Gene expression, Plant metabolism, Agronomy, Genome and Leukemia. His RNA study integrates concerns from other disciplines, such as Regulation of gene expression, Deep sequencing and Bioinformatics.

Yue-Qin Chen interconnects Long non-coding RNA and Cell biology in the investigation of issues within Regulation of gene expression. In his research, Yue-Qin Chen performs multidisciplinary study on Gene and Database. His research in Genetics is mostly concerned with Oryza sativa.

His most cited work include:

  • starBase: a database for exploring microRNA–mRNA interaction maps from Argonaute CLIP-Seq and Degradome-Seq data (547 citations)
  • Genome-wide screening and functional analysis identify a large number of long noncoding RNAs involved in the sexual reproduction of rice (301 citations)
  • Long non-coding RNA: a new player in cancer (275 citations)

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

MicroRNA, Gene, Genetics, RNA and Cancer research are his primary areas of study. His biological study spans a wide range of topics, including Bioinformatics, Gene expression profiling, Internal medicine, Signal transduction and Computational biology. Yue-Qin Chen has researched Gene in several fields, including Botany and Cell biology.

The concepts of his RNA study are interwoven with issues in Regulation of gene expression and Genome. His Regulation of gene expression research integrates issues from Meristem, Long non-coding RNA and Callus. The study incorporates disciplines such as Inflammation, Leukemia, Immunology and Cell in addition to Cancer research.

He most often published in these fields:

  • microRNA (39.18%)
  • Gene (34.02%)
  • Genetics (25.77%)

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

  • RNA (22.68%)
  • Cell biology (17.53%)
  • Gene (34.02%)

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

His primary areas of investigation include RNA, Cell biology, Gene, Cancer research and Leukemia. His study with RNA involves better knowledge in Genetics. His studies deal with areas such as RNA methylation, Arabidopsis and Ubiquitin ligase as well as Cell biology.

His Gene study frequently draws parallels with other fields, such as Pollen wall. His Cancer research research includes themes of Mutation, Translational regulation, DOT1L and Gene knockdown. His microRNA study combines topics from a wide range of disciplines, such as Arabidopsis thaliana, Protein subunit, Period and Circadian clock, Circadian rhythm.

Between 2018 and 2021, his most popular works were:

  • Noncoding RNAs in cancer therapy resistance and targeted drug development (68 citations)
  • CircMYBL2, a circRNA from MYBL2, Regulates FLT3 Translation by Recruiting PTBP1 to Promote FLT3-ITD AML Progression (42 citations)
  • Plant Noncoding RNAs: Hidden Players in Development and Stress Responses. (33 citations)

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

  • Gene
  • DNA
  • Gene expression

The scientist’s investigation covers issues in RNA, Regulation of gene expression, Cell biology, Gene knockdown and Computational biology. His RNA study is concerned with Gene in general. His Gene study is concerned with the larger field of Genetics.

His Regulation of gene expression research includes elements of RNA methylation, N6-Methyladenosine, Methylation, RNA splicing and Microspore. His research in Gene knockdown intersects with topics in Cancer research, Myeloid leukemia, Translational regulation, Mutation and Signal transduction. His Computational biology research incorporates elements of Cancer, Transcriptome, Fight-or-flight response, microRNA and Plant development.

Best Publications

  • Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)

    Daniel J. Klionsky;Amal Kamal Abdel-Aziz;Sara Abdelfatah;Mahmoud Abdellatif

  • Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

    Daniel J. Klionsky;Kotb Abdelmohsen;Akihisa Abe;Joynal Abedin

  • starBase: a database for exploring microRNA–mRNA interaction maps from Argonaute CLIP-Seq and Degradome-Seq data

    Jian-Hua Yang;Jun-Hao Li;Peng Shao;Hui Zhou

  • Genome-wide screening and functional analysis identify a large number of long noncoding RNAs involved in the sexual reproduction of rice

    Yu-Chan Zhang;Jian-You Liao;Ze-Yuan Li;Yang Yu

  • Long non-coding RNA: a new player in cancer

    Hua Zhang;Zhenhua Chen;Xinxin Wang;Zunnan Huang

  • Overexpression of microRNA OsmiR397 improves rice yield by increasing grain size and promoting panicle branching

    Yu-Chan Zhang;Yang Yu;Cong-Ying Wang;Ze-Yuan Li

  • Deep sequencing of human nuclear and cytoplasmic small RNAs reveals an unexpectedly complex subcellular distribution of miRNAs and tRNA 3' trailers.

    Jian-You Liao;Li-Ming Ma;Yan-Hua Guo;Yu-Chan Zhang

  • Liver‐enriched transcription factors regulate MicroRNA‐122 that targets CUTL1 during liver development

    Hui Xu;Jie Hua He;Zhen Dong Xiao;Qian Qian Zhang

  • Erratum to: Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (Autophagy, 12, 1, 1-222, 10.1080/15548627.2015.1100356

    Daniel J. Klionsky;Kotb Abdelmohsen;Akihisa Abe;Joynal Abedin

  • Plant Noncoding RNAs: Hidden Players in Development and Stress Responses.

    Yu Yu;Yuchan Zhang;Xuemei Chen;Yueqin Chen

  • LncRNAs H19 and HULC, activated by oxidative stress, promote cell migration and invasion in cholangiocarcinoma through a ceRNA manner.

    Wen-Tao Wang;Hua Ye;Pan-Pan Wei;Bo-Wei Han

  • Noncoding RNAs in cancer therapy resistance and targeted drug development

    Wen-Tao Wang;Cai Han;Yu-Meng Sun;Tian-Qi Chen

  • Expression analysis of phytohormone-regulated microRNAs in rice, implying their regulation roles in plant hormone signaling.

    Qing Liu;Yu-Chan Zhang;Cong-Ying Wang;Yu-Chun Luo

  • The lncRNA HOTAIRM1 regulates the degradation of PML-RARA oncoprotein and myeloid cell differentiation by enhancing the autophagy pathway

    Zhen-Hua Chen;Wen-Tao Wang;Wei Huang;Ke Fang

  • MicroRNA patterns associated with clinical prognostic parameters and CNS relapse prediction in pediatric acute leukemia.

    Hua Zhang;Xue-Qun Luo;Peng Zhang;Li-Bin Huang

  • Down-regulated miR-331-5p and miR-27a are associated with chemotherapy resistance and relapse in leukaemia.

    Dan-Dan Feng;Hua Zhang;Peng Zhang;Yu-Sheng Zheng

  • Identification of 20 microRNAs from Oryza sativa

    Jia‐Fu Wang;Hui Zhou;Yue‐Qin Chen;Qing‐Jun Luo

  • Mitogenomic perspectives on the origin and phylogeny of living amphibians.

    Peng Zhang;Hui Zhou;Yue-Qin Chen;Yi-Fei Liu

  • Phylogeny, evolution, and biogeography of Asiatic Salamanders (Hynobiidae)

    Peng Zhang;Yue-Qin Chen;Hui Zhou;Yi-Fei Liu

  • Circulating microRNAs identified in a genome-wide serum microRNA expression analysis as noninvasive biomarkers for endometriosis.

    Wen-Tao Wang;Ya-Nan Zhao;Bo-Wei Han;Shun-Jia Hong

Frequent Co-Authors

Liang-Hu Qu
Liang-Hu Qu Sun Yat-sen University
Hui Zhou
Hui Zhou Sun Yat-sen University
Fan Zhang
Fan Zhang University of British Columbia
Yan Li
Yan Li Sun Yat-sen University
Xuri Li
Xuri Li Sun Yat-sen University
Daniel Gautheret
Daniel Gautheret University of Paris-Saclay
Theodore J. Papenfuss
Theodore J. Papenfuss University of California, Berkeley
Nora F.Y. Tam
Nora F.Y. Tam Hong Kong Metropolitan University
Jinfang Chu
Jinfang Chu Chinese Academy of Sciences
Xuemei Chen
Xuemei Chen University of California, Riverside

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