World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
63
Citations
21397
World Ranking
2849
National Ranking
1247

Shin-Han Shiu 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 Shin-Han Shiu 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: 127 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Shin-Han Shiu 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 Shin-Han Shiu 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: 63 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Overview

Shin-Han Shiu is a researcher affiliated with Michigan State University in the United States. Their research spans a range of topics and fields within the biological sciences, primarily focusing on plant molecular biology and genetics.

The scientist's main fields of study include Biochemistry, Genetics and Molecular Biology, and Agricultural and Biological Sciences. More specifically, their work falls into subfields such as Molecular Biology, Plant Science, Genetics, Agronomy and Crop Science, and Ecology, Evolution, Behavior and Systematics.

Their research covers several main topics, including:

  • Plant Molecular Biology Research
  • Plant Gene Expression Analysis
  • Photosynthetic Processes and Mechanisms
  • Plant biochemistry and biosynthesis
  • Plant Reproductive Biology
  • Bioinformatics and Genomic Networks
  • Genetic Mapping and Diversity in Plants and Animals

Shin-Han Shiu has published multiple papers in prominent journals between 2020 and 2021. Some recent publications include:

  • Opening the Black Box: Interpretable Machine Learning for Geneticists, 2020, Trends in Genetics
  • COST1 regulates autophagy to control plant drought tolerance, 2020, Proceedings of the National Academy of Sciences
  • Evolution of a plant gene cluster in Solanaceae and emergence of metabolic diversity, 2020, eLife
  • Modeling temporal and hormonal regulation of plant transcriptional response to wounding, 2021, The Plant Cell
  • Putative cis-Regulatory Elements Predict Iron Deficiency Responses in Arabidopsis Roots, 2020, PLANT PHYSIOLOGY

Frequent publication venues for the scientist include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Proceedings of the National Academy of Sciences
  • Nature Communications
  • PLANT PHYSIOLOGY

Shin-Han Shiu has collaborated extensively with several researchers, including:

  • Peipei Wang
  • Melissa D. Lehti-Shiu
  • Bethany M. Moore
  • Fanrui Meng
  • Kenia Segura Abá

Best Publications

  • The Physcomitrella Genome Reveals Evolutionary Insights into the Conquest of Land by Plants

    Stefan A. Rensing;Daniel Lang;Andreas D. Zimmer;Astrid Terry

  • Receptor-like kinases from Arabidopsis form a monophyletic gene family related to animal receptor kinases.

    Shin-Han Shiu;Anthony B. Bleecker

  • Evolution of Gene Duplication in Plants.

    Nicholas Panchy;Melissa D. Lehti-Shiu;Shin-Han Shiu

  • Comparative Analysis of the Receptor-Like Kinase Family in Arabidopsis and Rice

    Shin-Han Shiu;Wojciech M. Karlowski;Runsun Pan;Runsun Pan;Yun-Huei Tzeng;Yun-Huei Tzeng

  • Expansion of the Receptor-Like Kinase/Pelle Gene Family and Receptor-Like Proteins in Arabidopsis

    Shin Han Shiu;Anthony B Bleecker

  • The F-box subunit of the SCF E3 complex is encoded by a diverse superfamily of genes in Arabidopsis

    Jennifer M. Gagne;Brian P. Downes;Shin-Han Shiu;Adam M. Durski

  • Plant receptor-like kinase gene family: diversity, function, and signaling

    Shin-Han Shiu;Anthony B. Bleecker

  • Changes in Transcript Abundance in Chlamydomonas reinhardtii following Nitrogen Deprivation Predict Diversion of Metabolism

    Rachel Miller;Guangxi Wu;Rahul R. Deshpande;Astrid Vieler

  • Importance of Lineage-Specific Expansion of Plant Tandem Duplicates in the Adaptive Response to Environmental Stimuli

    Kousuke Hanada;Cheng Zou;Melissa D. Lehti-Shiu;Kazuo Shinozaki

  • MAKER-P: A Tool Kit for the Rapid Creation, Management, and Quality Control of Plant Genome Annotations

    Michael S. Campbell;Mei Yee Law;Carson Holt;Joshua C. Stein

  • Evolutionary History and Stress Regulation of Plant Receptor-Like Kinase/Pelle Genes

    Melissa D. Lehti-Shiu;Cheng Zou;Kousuke Hanada;Shin Han Shiu

  • Genome, Functional Gene Annotation, and Nuclear Transformation of the Heterokont Oleaginous Alga Nannochloropsis oceanica CCMP1779

    Astrid Vieler;Guangxi Wu;Chia Hong Tsai;Blair Bullard

  • Opening the Black Box: Interpretable Machine Learning for Geneticists.

    Christina B. Azodi;Christina B. Azodi;Jiliang Tang;Shin-Han Shiu

  • Diversity, classification and function of the plant protein kinase superfamily.

    Melissa D. Lehti-Shiu;Shin Han Shiu

  • Transcription Factor Families Have Much Higher Expansion Rates in Plants than in Animals

    Shin-Han Shiu;Ming-Che Shih;Wen-Hsiung Li

  • Comparative transcriptomics of three Poaceae species reveals patterns of gene expression evolution.

    Rebecca M. Davidson;Malali Gowda;Gaurav Moghe;Haining Lin

  • Two-component signaling elements and histidyl-aspartyl phosphorelays.

    G. Eric Schaller;Joseph J. Kieber;Shin-Han Shiu

  • A Large Complement of the Predicted Arabidopsis ARM Repeat Proteins Are Members of the U-Box E3 Ubiquitin Ligase Family

    Yashwanti Mudgil;Shin-Han Shiu;Sophia L. Stone;Jennifer N. Salt

  • Two-Component Systems and Their Co-Option for Eukaryotic Signal Transduction

    G. Eric Schaller;Shin Han Shiu;Judith P. Armitage

  • Molecular identification and characterization of the tomato flagellin receptor LeFLS2, an orthologue of Arabidopsis FLS2 exhibiting characteristically different perception specificities.

    Silke Robatzek;Pascal Bittel;Delphine Chinchilla;Petra Köchner

Frequent Co-Authors

Wen-Hsiung Li
Wen-Hsiung Li Academia Sinica
Christoph Benning
Christoph Benning Michigan State University
Ning Jiang
Ning Jiang Michigan State University
Mark Yandell
Mark Yandell University of Utah
Kevin L. Childs
Kevin L. Childs Michigan State University
Maurice S. B. Ku
Maurice S. B. Ku National Chiayi University
Federica Brandizzi
Federica Brandizzi Michigan State University
Michael F. Thomashow
Michael F. Thomashow Michigan State University
C. Robin Buell
C. Robin Buell University of Georgia
Anthony B. Bleecker
Anthony B. Bleecker University of Wisconsin–Madison

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