World's Best Scientists 2026 revealed!

D-Index & Metrics

Materials Science

D-Index
46
Citations
8180
World Ranking
11429
National Ranking
2681

Feng Guo publication distribution in Materials Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Materials Science in 2026. The highlighted bar marks where Feng Guo sits on this spectrum.

50–69 publications: 28 scientists 70–89 publications: 152 scientists 90–109 publications: 356 scientists 110–129 publications: 487 scientists 130–149 publications: 723 scientists 150–169 publications: 835 scientists 170–189 publications: 850 scientists 190–209 publications: 891 scientists 210–229 publications: 862 scientists 230–249 publications: 766 scientists 250–269 publications: 726 scientists 270–289 publications: 665 scientists 290–309 publications: 593 scientists 310–329 publications: 537 scientists 330–349 publications: 477 scientists 350–369 publications: 440 scientists 370–389 publications: 356 scientists 390–409 publications: 321 scientists 410–429 publications: 256 scientists 430–449 publications: 246 scientists 450–469 publications: 216 scientists 470–489 publications: 212 scientists 490–509 publications: 174 scientists 510–529 publications: 194 scientists 530–549 publications: 162 scientists 550–569 publications: 131 scientists 570–589 publications: 111 scientists 590–609 publications: 103 scientists 610–629 publications: 99 scientists 630–649 publications: 77 scientists 650–669 publications: 92 scientists 670–689 publications: 56 scientists 690–709 publications: 53 scientists 710–729 publications: 53 scientists 730–749 publications: 38 scientists 750–769 publications: 52 scientists 770–789 publications: 43 scientists 790–809 publications: 38 scientists 810–829 publications: 34 scientists 830–849 publications: 25 scientists 850–869 publications: 18 scientists 870–889 publications: 20 scientists 890–909 publications: 24 scientists 910–929 publications: 27 scientists 930–949 publications: 20 scientists 950–969 publications: 17 scientists 970–989 publications: 10 scientists 990–1,009 publications: 16 scientists 1,010–1,029 publications: 13 scientists 1,030–1,049 publications: 12 scientists 1,050–1,069 publications: 9 scientists 1,070–1,089 publications: 8 scientists 1,090–1,109 publications: 7 scientists 1,110–1,129 publications: 9 scientists 1,130–1,149 publications: 2 scientists 1,150–1,162 publications: 5 scientists 1,163+ publications: 100 scientists
50 publications 1,163+

This scientist: 80 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,163 publications or more.

Feng Guo D-index placement in Materials Science in 2026

The chart shows the D-index (discipline H-index) distribution of Materials Science scientists ranked by Research.com in 2026. The highlighted bar marks where Feng Guo sits on this spectrum.

40–41 D-Index: 211 scientists 42–43 D-Index: 450 scientists 44–45 D-Index: 612 scientists 46–47 D-Index: 612 scientists 48–49 D-Index: 598 scientists 50–51 D-Index: 657 scientists 52–53 D-Index: 667 scientists 54–55 D-Index: 621 scientists 56–57 D-Index: 597 scientists 58–59 D-Index: 610 scientists 60–61 D-Index: 587 scientists 62–63 D-Index: 606 scientists 64–65 D-Index: 533 scientists 66–67 D-Index: 490 scientists 68–69 D-Index: 469 scientists 70–71 D-Index: 378 scientists 72–73 D-Index: 421 scientists 74–75 D-Index: 359 scientists 76–77 D-Index: 323 scientists 78–79 D-Index: 299 scientists 80–81 D-Index: 230 scientists 82–83 D-Index: 210 scientists 84–85 D-Index: 195 scientists 86–87 D-Index: 203 scientists 88–89 D-Index: 175 scientists 90–91 D-Index: 175 scientists 92–93 D-Index: 142 scientists 94–95 D-Index: 121 scientists 96–97 D-Index: 117 scientists 98–99 D-Index: 107 scientists 100–101 D-Index: 88 scientists 102–103 D-Index: 85 scientists 104–105 D-Index: 68 scientists 106–107 D-Index: 62 scientists 108–109 D-Index: 57 scientists 110–111 D-Index: 45 scientists 112–113 D-Index: 49 scientists 114–115 D-Index: 50 scientists 116–117 D-Index: 34 scientists 118–119 D-Index: 38 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 28 scientists 126–127 D-Index: 24 scientists 128–129 D-Index: 33 scientists 130–131 D-Index: 28 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 20 scientists 136–137 D-Index: 23 scientists 138–139 D-Index: 17 scientists 140–141 D-Index: 12 scientists 142–143 D-Index: 17 scientists 144–145 D-Index: 21 scientists 146–147 D-Index: 13 scientists 148–149 D-Index: 11 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 13 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 4 scientists 162–163 D-Index: 4 scientists 164 D-Index: 3 scientists 165+ D-Index: 98 scientists
40 D-Index 165+

This scientist: 46 D-Index — 12th percentile

12% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 165 D-Index or more.

Overview

Feng Guo is a researcher affiliated with Pennsylvania State University in the United States. Their work spans multiple disciplines within engineering and medicine, with particular emphasis on interdisciplinary approaches involving biomedical and electrical engineering.

Their research output includes significant contributions to areas such as biomedical engineering, molecular biology, mechanical engineering, cognitive neuroscience, and electrical and electronic engineering. These fields collectively highlight a focus on integrating engineering principles with biological and medical sciences.

Guo's investigation covers a range of scientific topics, including 3D printing in biomedical research, microfluidic and bio-sensing technologies, neuroscience and neural engineering, neural dynamics and brain function, pluripotent stem cells research, advanced memory and neural computing, and planarian biology and electrostimulation.

Their frequent coauthors reflect ongoing collaborative efforts within these research domains. Key collaborators include Hongwei Cai, Zheng Ao, Zhuhao Wu, Ken Mackie, and Chunhui Tian.

Guo's work has appeared repeatedly in various scientific venues, including bioRxiv (Cold Spring Harbor Laboratory), Lab on a Chip, SSRN Electronic Journal, Analytical Chemistry, and Nature Communications. This distribution of publications indicates a strong presence in both preprint and peer-reviewed journals focused on analytical techniques, biomedical engineering, and interdisciplinary biological sciences.

Selected recent publications by Guo include:

  • Brain organoid reservoir computing for artificial intelligence (2023), Nature Electronics
  • One-Stop Microfluidic Assembly of Human Brain Organoids To Model Prenatal Cannabis Exposure (2020), Analytical Chemistry
  • Acoustic metamaterials-driven transdermal drug delivery for rapid and on-demand management of acute disease (2023), Nature Communications
  • An organoid-based screen for epigenetic inhibitors that stimulate antigen presentation and potentiate T-cell-mediated cytotoxicity (2021), Nature Biomedical Engineering
  • Controllable fusion of human brain organoids using acoustofluidics (2021), Lab on a Chip

Best Publications

  • Surface acoustic wave microfluidics

    Xiaoyun Ding;Peng Li;Sz Chin Steven Lin;Zackary S. Stratton

  • Acoustic tweezers for the life sciences

    Adem Ozcelik;Joseph Rufo;Feng Guo;Yuyang Gu

  • Three-dimensional manipulation of single cells using surface acoustic waves

    Feng Guo;Zhangming Mao;Yuchao Chen;Zhiwei Xie

  • In Situ Prepared Transparent Polyaniline Electrode and Its Application in Bifacial Dye-Sensitized Solar Cells

    Qidong Tai;Bolei Chen;Feng Guo;Sheng Xu

  • Controlling cell–cell interactions using surface acoustic waves

    Feng Guo;Peng Li;Jarrod B. French;Zhangming Mao

  • Microfluidic synthesis of multifunctional Janus particles for biomedical applications

    Shikuan Yang;Feng Guo;Brian Kiraly;Xiaole Mao

  • An on-chip, multichannel droplet sorter using standing surface acoustic waves.

    Sixing Li;Xiaoyun Ding;Feng Guo;Yuchao Chen

  • Microfluidic hydrodynamic focusing for synthesis of nanomaterials

    Mengqian Lu;Adem Ozcelik;Christopher L. Grigsby;Christopher L. Grigsby;Yanhui Zhao

  • Digital acoustofluidics enables contactless and programmable liquid handling.

    Steven Peiran Zhang;James Lata;Chuyi Chen;John Mai

  • Rapid formation of size-controllable multicellular spheroids via 3D acoustic tweezers.

    Kejie Chen;Mengxi Wu;Feng Guo;Peng Li

  • A high-throughput acoustic cell sorter

    Liqiang Ren;Yuchao Chen;Peng Li;Zhangming Mao

  • Theory and experiment on particle trapping and manipulation via optothermally generated bubbles

    Chenglong Zhao;Yuliang Xie;Zhangming Mao;Yanhui Zhao

  • Tunable Nanowire Patterning Using Standing Surface Acoustic Waves

    Yuchao Chen;Xiaoyun Ding;Sz Chin Steven Lin;Shikuan Yang

  • Microneedle Patch-Mediated Treatment of Bacterial Biofilms.

    Junhua Xu;Ryan Danehy;Hongwei Cai;Zheng Ao

  • Accelerating drug discovery via organs-on-chips

    Chung Yu Chan;Po Hsun Huang;Feng Guo;Xiaoyun Ding

  • One-Stop Microfluidic Assembly of Human Brain Organoids To Model Prenatal Cannabis Exposure

    Zheng Ao;Hongwei Cai;Daniel J Havert;Zhuhao Wu

  • A Rapid Pathway Toward a Superb Gene Delivery System: Programming Structural and Functional Diversity into a Supramolecular Nanoparticle Library

    Hao Wang;Kan Liu;Kuan-Ju Chen;Yujie Lu

  • High-throughput acoustofluidic fabrication of tumor spheroids.

    Bin Chen;Yue Wu;Zheng Ao;Hongwei Cai

  • Droplet electric separator microfluidic device for cell sorting

    Feng Guo;Xing-Hu Ji;Kan Liu;Rong-Xiang He

  • Standing surface acoustic wave (SSAW)-based cell washing.

    Sixing Li;Xiaoyun Ding;Zhangming Mao;Yuchao Chen

Frequent Co-Authors

Tony Jun Huang
Tony Jun Huang Duke University
Xingzhong Zhao
Xingzhong Zhao Wuhan University
Shishang Guo
Shishang Guo Wuhan University
Wei Liu
Wei Liu Wuhan University
Po-Hsun Huang
Po-Hsun Huang Duke University
Shikuan Yang
Shikuan Yang Zhejiang University
Craig E. Cameron
Craig E. Cameron University of North Carolina at Chapel Hill
Lin Wang
Lin Wang Yanshan University
Lei Jiang
Lei Jiang Chinese Academy of Sciences
Ken Mackie
Ken Mackie Indiana University

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