World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
71
Citations
26969
World Ranking
2160
National Ranking
56

Hsien-Da Huang publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Hsien-Da Huang sits on this spectrum.

45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45 publications 703+

This scientist: 204 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

Hsien-Da Huang D-index placement in Genetics in 2026

The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where Hsien-Da Huang sits on this spectrum.

40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40 D-Index 160+

This scientist: 71 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

Overview

Hsien-Da Huang is affiliated with the Chinese University of Hong Kong, Shenzhen in China. Their research spans the fields of Biochemistry, Genetics and Molecular Biology, with additional focus on Medicine.

The scientist has contributed to multiple subfields including Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Computational Theory and Mathematics, and Pharmacology.

Hsien-Da Huang's main research topics include:

  • MicroRNA in disease regulation
  • Cancer-related molecular mechanisms research
  • Computational Drug Discovery Methods
  • RNA modifications and cancer
  • RNA Research and Splicing
  • Machine Learning in Bioinformatics
  • RNA and protein synthesis mechanisms

Frequent publication venues for Hsien-Da Huang include:

  • Nucleic Acids Research
  • International Journal of Molecular Sciences
  • Briefings in Bioinformatics
  • bioRxiv (Cold Spring Harbor Laboratory)
  • SSRN Electronic Journal

Coauthors who have frequently collaborated with Hsien-Da Huang are:

  • Hsi-Yuan Huang
  • Yang-Chi-Dung Lin
  • Hua-Li Zuo
  • Yi-Gang Chen
  • Tzong-Yi Lee

Recent publications by Hsien-Da Huang include the following papers:

  • miRTarBase update 2022: an informative resource for experimentally validated miRNA-target interactions, 2021, Nucleic Acids Research
  • dbPTM in 2022: an updated database for exploring regulatory networks and functional associations of protein post-translational modifications, 2021, Nucleic Acids Research
  • Oral microbial dysbiosis and its performance in predicting oral cancer, 2020, Carcinogenesis
  • miRTarBase 2025: updates to the collection of experimentally validated microRNA-target interactions, 2024, Nucleic Acids Research
  • A panel of eight microRNAs is a good predictive parameter for triple-negative breast cancer relapse, 2020, Theranostics

Best Publications

  • miRTarBase update 2018: a resource for experimentally validated microRNA-target interactions.

    Chih Hung Chou;Sirjana Shrestha;Chi Dung Yang;Chi Dung Yang;Nai Wen Chang

  • miRTarBase 2016: updates to the experimentally validated miRNA-target interactions database

    Chih Hung Chou;Nai Wen Chang;Sirjana Shrestha;Sheng Da Hsu

  • miRTarBase: a database curates experimentally validated microRNA–target interactions

    Sheng-Da Hsu;Feng-Mao Lin;Wei-Yun Wu;Chao Liang

  • Fungal Small RNAs Suppress Plant Immunity by Hijacking Host RNA Interference Pathways

    Arne Weiberg;Ming Wang;Feng Mao Lin;Hongwei Zhao

  • miRTarBase update 2014: an information resource for experimentally validated miRNA-target interactions

    Sheng-Da Hsu;Yu-Ting Tseng;Sirjana Shrestha;Yu-Ling Lin

  • MicroRNA-122 plays a critical role in liver homeostasis and hepatocarcinogenesis

    Wei Chih Tsai;Sheng Da Hsu;Chu Sui Hsu;Tsung Ching Lai

  • α-ketoglutarate orchestrates macrophage activation through metabolic and epigenetic reprogramming

    Pu-Ste Liu;Haiping Wang;Xiaoyun Li;Tung Chao

  • MicroRNA-122, a tumor suppressor microRNA that regulates intrahepatic metastasis of hepatocellular carcinoma.

    Wei-Chih Tsai;Paul Wei-Che Hsu;Tsung Ching Lai;Gar-Yang Chau

  • Bidirectional cross-kingdom RNAi and fungal uptake of external RNAs confer plant protection

    Ming Wang;Arne Weiberg;Arne Weiberg;Feng Mao Lin;Bart P.H.J. Thomma

  • Arabidopsis Argonaute 2 regulates innate immunity via miRNA393*-mediated silencing of a Golgi-localized SNARE gene MEMB12

    Xiaoming Zhang;Hongwei Zhao;Shang Gao;Wei-Chi Wang

  • KinasePhos 2.0: a web server for identifying protein kinase-specific phosphorylation sites based on sequences and coupling patterns.

    Yung-Hao Wong;Tzong-Yi Lee;Han-Kuen Liang;Chia-Mao Huang

  • KinasePhos: a web tool for identifying protein kinase-specific phosphorylation sites

    Hsien Da Huang;Tzong Yi Lee;Shih Wei Tzeng;Jorng Tzong Horng

  • PlantPAN 2.0: an update of plant promoter analysis navigator for reconstructing transcriptional regulatory networks in plants.

    Chi Nga Chow;Han Qin Zheng;Nai Yun Wu;Chia Hung Chien

  • miRNAMap 2.0: genomic maps of microRNAs in metazoan genomes

    Sheng Da Hsu;Chia-Huei Chu;Ann Ping Tsou;Shu Jen Chen

  • Flow-Dependent Regulation of Krüppel-Like Factor 2 Is Mediated by MicroRNA-92a

    Wei Wu;Han Xiao;Andrés Laguna-Fernandez;Guadalupe Villarreal

  • PlantPAN: Plant promoter analysis navigator, for identifying combinatorial cis-regulatory elements with distance constraint in plant gene groups

    Wen Chi Chang;Tzong Yi Lee;Hsien Da Huang;His Yuan Huang

  • miR-103/107 promote metastasis of colorectal cancer by targeting the metastasis suppressors DAPK and KLF4

    Hsin Yi Chen;Yu Min Lin;Yu Min Lin;Hsiang Ching Chung;Hsiang Ching Chung;Yaw Dong Lang

  • An enhanced computational platform for investigating the roles of regulatory RNA and for identifying functional RNA motifs

    Tzu Hao Chang;Hsi Yuan Huang;Justin Bo Kai Hsu;Shun Long Weng

  • CircNet: a database of circular RNAs derived from transcriptome sequencing data

    Yu Chen Liu;Jian-Rong Li;Chuan-Hu Sun;Erik Andrews

  • MethHC: a database of DNA methylation and gene expression in human cancer

    Wei Yun Huang;Sheng Da Hsu;Hsi-Yuan Huang;Yi-Ming Sun

Frequent Co-Authors

John Y.-J. Shyy
John Y.-J. Shyy University of California, San Diego
Shu Chien
Shu Chien University of California, San Diego
Jan-Gowth Chang
Jan-Gowth Chang China Medical University
Oscar K. Lee
Oscar K. Lee National Yang Ming University
Hailing Jin
Hailing Jin University of California, Riverside
Michael Hsiao
Michael Hsiao Academia Sinica
Shinn-Ying Ho
Shinn-Ying Ho National Yang Ming Chiao Tung University
Alfred K. Cheung
Alfred K. Cheung University of Utah
Chih-Hsin Tang
Chih-Hsin Tang China Medical University
Lee-Jun C. Wong
Lee-Jun C. Wong Baylor College of Medicine

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