World's Best Scientists 2026 revealed!

D-Index & Metrics

Molecular Biology

D-Index
62
Citations
11660
World Ranking
1861
National Ranking
929

Ying Liu 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 Ying Liu sits on this spectrum.

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 publications 564+

This scientist: 132 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Ying Liu 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 Ying Liu sits on this spectrum.

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 D-Index 145+

This scientist: 62 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Overview

Ying Liu is affiliated with The University of Texas Health Science Center at Houston in the United States. Their research focuses primarily on the intersection of computer science and engineering, with a significant emphasis on artificial intelligence and industrial and manufacturing engineering.

Their work spans several interconnected fields, including:

  • Computer Science
  • Engineering

Within these disciplines, they have specialized subfields that include:

  • Artificial Intelligence
  • Industrial and Manufacturing Engineering
  • Computer Vision and Pattern Recognition
  • Mechanical Engineering
  • Social Psychology

The main topics of research explored by Ying Liu include:

  • Manufacturing Process and Optimization
  • Topic Modeling
  • Additive Manufacturing and 3D Printing Technologies
  • Advanced Neural Network Applications
  • Digital Transformation in Industry
  • Additive Manufacturing Materials and Processes
  • Color perception and design

Their recent publications illustrate a concentration on manufacturing technologies, human-machine interaction, and knowledge integration models. Notable papers include:

  • "Manufacturability, Mechanical Properties, Mass-Transport Properties and Biocompatibility of Triply Periodic Minimal Surface (TPMS) Porous Scaffolds Fabricated by Selective Laser Melting," 2020, Materials & Design
  • "Packing quality of powder layer during counter-rolling-type powder spreading process in additive manufacturing," 2020, International Journal of Machine Tools and Manufacture
  • "Reinforcement learning for facilitating human-robot-interaction in manufacturing," 2020, Journal of Manufacturing Systems
  • "A smart conflict resolution model using multi-layer knowledge graph for conceptual design," 2023, Advanced Engineering Informatics
  • "Human-machine interaction towards Industry 5.0: Human-centric smart manufacturing," 2024, Digital engineering.

Ying Liu frequently collaborates with a network of coauthors with whom multiple publications have been produced. These include:

  • Xin Guo
  • Ze Ji
  • Phillip L. Morgan
  • Huicong Hu
  • Chong Chen

Their scholarly output is disseminated through various reputable venues, some of which feature multiple works:

  • arXiv (Cornell University)
  • Advanced Engineering Informatics
  • SSRN Electronic Journal
  • Journal of Engineering Design
  • IFAC-PapersOnLine

Best Publications

  • Genomic alterations in cultured human embryonic stem cells

    Anirban Maitra;Dan E. Arking;Narayan Shivapurkar;Morna Ikeda

  • Hyaluronan accumulates in demyelinated lesions and inhibits oligodendrocyte progenitor maturation

    Stephen A Back;Therese M F Tuohy;Hanqin Chen;Nicholas Wallingford

  • Human embryonic stem cells have a unique epigenetic signature

    Marina Bibikova;Eugene Chudin;Bonnie Wu;Lixin Zhou

  • Mining TCGA database for genes of prognostic value in glioblastoma microenvironment.

    Di Jia;Shenglan Li;Dali Li;Haipeng Xue

  • CD44 expression identifies astrocyte-restricted precursor cells

    Ying Liu;Ying Liu;Steve S.W. Han;Yuanyuan Wu;Therese M.F. Tuohy

  • Karyotypic Stability, Genotyping, Differentiation, Feeder-Free Maintenance, and Gene Expression Sampling in Three Human Embryonic Stem Cell Lines Derived Prior to August 9, 2001

    Sandii N. Brimble;Xianmin Zeng;Deborah A. Weiler;Yongquan Luo

  • Endogenous Nkx2.2+/Olig2+ oligodendrocyte precursor cells fail to remyelinate the demyelinated adult rat spinal cord in the absence of astrocytes.

    Jason F. Talbott;David N. Loy;David N. Loy;Ying Liu;Ying Liu;Mengsheng S. Qiu

  • Human Embryonic Stem Cells have Enhanced Repair of Multiple Forms of DNA Damage

    Scott Maynard;Anna Maria Swistowska;Jae Wan Lee;Ying Liu

  • Role of astroglia in Down’s syndrome revealed by patient-derived human-induced pluripotent stem cells

    Chen Chen;Peng Jiang;Haipeng Xue;Suzanne E Peterson

  • Brn3a-expressing retinal ganglion cells project specifically to thalamocortical and collicular visual pathways

    Lely A. Quina;Winnie Pak;Jason Lanier;Premilla Banwait

  • Maternal Deprivation in Rats is Associated with Corticotrophin‐Releasing Hormone (CRH) Promoter Hypomethylation and Enhances CRH Transcriptional Responses to Stress in Adulthood

    Jun Chen;Andrew N. Evans;Ying Liu;Masaru Honda

  • Molecular cloning and properties of a full-length putative thyroid hormone receptor coactivator.

    A Takeshita;P M Yen;S Misiti;G R Cardona

  • Targeting Heat Shock Proteins on Cancer Cells: Selection, Characterization, and Cell-Penetrating Properties of a Peptidic GRP78 Ligand†

    Youngsoo Kim;Antonietta M. Lillo;Sebastian C J Steiniger;Ying Liu

  • The molecular physiology of CRH neurons

    Greti Aguilera;Ying Liu

  • Oligodendrocyte and astrocyte development in rodents: An in situ and immunohistological analysis during embryonic development

    Ying Liu;Yuanyuan Wu;Jeffrey C. Lee;Jeffrey C. Lee;Haipeng Xue

  • Long-term fate of neural precursor cells following transplantation into developing and adult CNS.

    A.C. Lepore;B. Neuhuber;T.M. Connors;S.S.W. Han

  • Assessing self-renewal and differentiation in human embryonic stem cell lines.

    Jingli Cai;Jia Chen;Ying Liu;Takumi Miura

  • Androgen deprivation promotes neuroendocrine differentiation and angiogenesis through CREB-EZH2-TSP1 pathway in prostate cancers

    Yan Zhang;Dayong Zheng;Dayong Zheng;Ting Zhou;Ting Zhou;Haiping Song;Haiping Song

  • Brg1 is required for murine neural stem cell maintenance and gliogenesis

    Steven Matsumoto;Fatima Banine;Jaime Struve;Rubing Xing

  • Hes1 but not Hes5 regulates an astrocyte versus oligodendrocyte fate choice in glial restricted precursors.

    Yuanyuan Wu;Ying Liu;Ying Liu;Edward M. Levine;Mahendra S. Rao

Frequent Co-Authors

Mahendra S. Rao
Mahendra S. Rao National Institutes of Health
Greti Aguilera
Greti Aguilera National Institutes of Health
Louise C. Laurent
Louise C. Laurent University of California, San Diego
Jeanne F. Loring
Jeanne F. Loring Scripps Research Institute
David E Pleasure
David E Pleasure University of California, Davis
Mark P. Mattson
Mark P. Mattson Johns Hopkins University
William J. Freed
William J. Freed National Institute on Drug Abuse
Kim D. Janda
Kim D. Janda Scripps Research Institute
Itzhak Fischer
Itzhak Fischer Drexel University
Inga D. Neumann
Inga D. Neumann University of Regensburg

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