World's Best Scientists 2026 revealed!
Guo-Li Shen

Guo-Li Shen

D-Index & Metrics

Chemistry

D-Index
101
Citations
32662
World Ranking
1235
National Ranking
225

Guo-Li Shen publication distribution in Chemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Chemistry in 2026. The highlighted bar marks where Guo-Li Shen sits on this spectrum.

61–80 publications: 66 scientists 81–100 publications: 302 scientists 101–120 publications: 623 scientists 121–140 publications: 918 scientists 141–160 publications: 1,218 scientists 161–180 publications: 1,350 scientists 181–200 publications: 1,344 scientists 201–220 publications: 1,281 scientists 221–240 publications: 1,216 scientists 241–260 publications: 1,100 scientists 261–280 publications: 979 scientists 281–300 publications: 939 scientists 301–320 publications: 764 scientists 321–340 publications: 643 scientists 341–360 publications: 628 scientists 361–380 publications: 522 scientists 381–400 publications: 459 scientists 401–420 publications: 397 scientists 421–440 publications: 327 scientists 441–460 publications: 270 scientists 461–480 publications: 265 scientists 481–500 publications: 252 scientists 501–520 publications: 201 scientists 521–540 publications: 185 scientists 541–560 publications: 148 scientists 561–580 publications: 148 scientists 581–600 publications: 132 scientists 601–620 publications: 114 scientists 621–640 publications: 104 scientists 641–660 publications: 91 scientists 661–680 publications: 92 scientists 681–700 publications: 73 scientists 701–720 publications: 57 scientists 721–740 publications: 54 scientists 741–760 publications: 67 scientists 761–780 publications: 45 scientists 781–800 publications: 46 scientists 801–820 publications: 39 scientists 821–840 publications: 32 scientists 841–860 publications: 36 scientists 861–880 publications: 29 scientists 881–900 publications: 26 scientists 901–920 publications: 24 scientists 921–940 publications: 14 scientists 941–960 publications: 23 scientists 961–980 publications: 28 scientists 981–1,000 publications: 15 scientists 1,001–1,020 publications: 29 scientists 1,021–1,040 publications: 12 scientists 1,041–1,060 publications: 19 scientists 1,061–1,080 publications: 12 scientists 1,081–1,100 publications: 6 scientists 1,101–1,120 publications: 8 scientists 1,121–1,140 publications: 12 scientists 1,141–1,160 publications: 5 scientists 1,161–1,180 publications: 6 scientists 1,181–1,200 publications: 14 scientists 1,201–1,220 publications: 7 scientists 1,221–1,240 publications: 2 scientists 1,241–1,260 publications: 6 scientists 1,261–1,280 publications: 4 scientists 1,281–1,294 publications: 6 scientists 1,295+ publications: 100 scientists
61 publications 1,295+

This scientist: 528 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,295 publications or more.

Guo-Li Shen D-index placement in Chemistry in 2026

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

40–41 D-Index: 289 scientists 42–43 D-Index: 612 scientists 44–45 D-Index: 808 scientists 46–47 D-Index: 776 scientists 48–49 D-Index: 835 scientists 50–51 D-Index: 861 scientists 52–53 D-Index: 872 scientists 54–55 D-Index: 933 scientists 56–57 D-Index: 1,051 scientists 58–59 D-Index: 930 scientists 60–61 D-Index: 882 scientists 62–63 D-Index: 834 scientists 64–65 D-Index: 731 scientists 66–67 D-Index: 775 scientists 68–69 D-Index: 683 scientists 70–71 D-Index: 646 scientists 72–73 D-Index: 561 scientists 74–75 D-Index: 501 scientists 76–77 D-Index: 437 scientists 78–79 D-Index: 388 scientists 80–81 D-Index: 354 scientists 82–83 D-Index: 292 scientists 84–85 D-Index: 275 scientists 86–87 D-Index: 254 scientists 88–89 D-Index: 235 scientists 90–91 D-Index: 185 scientists 92–93 D-Index: 192 scientists 94–95 D-Index: 155 scientists 96–97 D-Index: 163 scientists 98–99 D-Index: 125 scientists 100–101 D-Index: 105 scientists 102–103 D-Index: 105 scientists 104–105 D-Index: 112 scientists 106–107 D-Index: 88 scientists 108–109 D-Index: 68 scientists 110–111 D-Index: 69 scientists 112–113 D-Index: 65 scientists 114–115 D-Index: 79 scientists 116–117 D-Index: 61 scientists 118–119 D-Index: 44 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 40 scientists 124–125 D-Index: 33 scientists 126–127 D-Index: 26 scientists 128–129 D-Index: 34 scientists 130–131 D-Index: 35 scientists 132–133 D-Index: 25 scientists 134–135 D-Index: 27 scientists 136–137 D-Index: 17 scientists 138–139 D-Index: 16 scientists 140–141 D-Index: 20 scientists 142–143 D-Index: 20 scientists 144–145 D-Index: 15 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 9 scientists 150–151 D-Index: 16 scientists 152–153 D-Index: 11 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 3 scientists 158 D-Index: 3 scientists 159+ D-Index: 98 scientists
40 D-Index 159+

This scientist: 101 D-Index — 93rd percentile

93% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 159 D-Index or more.

Overview

Guo-Li Shen is a researcher affiliated with Hunan University in China whose work spans materials science and medicine, with a notable focus on materials chemistry and aspects of physiology and geriatrics.

Their recent publications cover a range of topics including crystallography, mechanical behavior in alloys, and biological age modeling. Key papers include:

  • Neuroevolution potential-driven accurate and efficient discovery of mechanical behavior and nanocluster dynamics in TiAl alloys, 2025, Journal of Materials Chemistry C
  • A biological age model based on physical examination data to predict mortality in a Chinese population, 2024, iScience
  • A Biological Age Model Based on Physical Examination Data to Predict Mortality in a Chinese Population, 2023, SSRN Electronic Journal
  • CCDC 2283159: Experimental Crystal Structure Determination, 2023, The Cambridge Structural Database
  • CCDC 2283158: Experimental Crystal Structure Determination, 2023, The Cambridge Structural Database

Their research has appeared in a variety of publication venues, primarily in:

  • The Cambridge Structural Database
  • iScience
  • SSRN Electronic Journal
  • Journal of Materials Chemistry C

Frequent collaborators include:

  • Qingqing Jia
  • Andi Xu
  • Sicong Wang
  • Xiaojie He
  • Yihong Luo

Guo-Li Shen's main fields of study incorporate:

  • Materials Science
  • Medicine

Within subfields, the focus lies on:

  • Materials Chemistry
  • Physiology
  • Geriatrics and Gerontology

Themes frequently addressed in their work include:

  • X-ray Diffraction in Crystallography
  • Crystallization and Solubility Studies
  • Body Composition Measurement Techniques
  • Nutrition and Health in Aging
  • Frailty in Older Adults
  • Machine Learning in Materials Science
  • Boron and Carbon Nanomaterials Research

Best Publications

  • A nano-Ni based ultrasensitive nonenzymatic electrochemical sensor for glucose: enhancing sensitivity through a nanowire array strategy.

    Li-Min Lu;Li Zhang;Feng-Li Qu;Feng-Li Qu;Hai-Xia Lu

  • Highly sensitive and selective colorimetric and off-on fluorescent chemosensor for Cu2+ in aqueous solution and living cells.

    Unknown

  • Platinum nanoparticles-doped sol-gel/carbon nanotubes composite electrochemical sensors and biosensors.

    Minghui Yang;Yunhui Yang;Yanli Liu;Guoli Shen

  • Graphene-DNAzyme based biosensor for amplified fluorescence "turn-on" detection of Pb2+ with a high selectivity.

    Xu-Hua Zhao;Rong-Mei Kong;Xiao-Bing Zhang;Hong-Min Meng

  • In situ synthesis of palladium nanoparticle-graphene nanohybrids and their application in nonenzymatic glucose biosensors.

    Li-Min Lu;Hong-Bo Li;Fengli Qu;Xiao-Bing Zhang

  • Rapid detection of picloram in agricultural field samples using a disposable immunomembrane-based electrochemical sensor.

    Lin Tang;Guang-Ming Zeng;Guo-Li Shen;Yuan-Ping Li

  • Simple synthesis of MgFe2O4 nanoparticles as gas sensing materials

    Yan-Li Liu;Zhi-Min Liu;Yu Yang;Hai-Feng Yang

  • Aptamer-Based Rolling Circle Amplification: A Platform for Electrochemical Detection of Protein

    Long Zhou;Li-Juan Ou;Xia Chu;Guo-Li Shen

  • DNAzyme-based biosensors and nanodevices

    Liang Gong;Zilong Zhao;Yi-Fan Lv;Shuang-Yan Huan

  • Amperometric glucose biosensor based on electrodeposition of platinum nanoparticles onto covalently immobilized carbon nanotube electrode.

    Xia Chu;Daxue Duan;Guoli Shen;Ruqin Yu

  • An optical fiber chemical sensor for mercury ions based on a porphyrin dimer.

    Xiao-Bing Zhang;Can-Cheng Guo;Zhi-Zhang Li;Guo-Li Shen

  • Electrochemical sensor for mercury(II) based on conformational switch mediated by interstrand cooperative coordination.

    Si-Jia Liu;Hua-Gui Nie;Jian-Hui Jiang;Guo-Li Shen

  • Layer-by-layer self-assembled multilayer films of carbon nanotubes and platinum nanoparticles with polyelectrolyte for the fabrication of biosensors.

    Minghui Yang;Yu Yang;Haifeng Yang;Guoli Shen

  • Immobilization of horseradish peroxidase to a nano-Au monolayer modified chitosan-entrapped carbon paste electrode for the detection of hydrogen peroxide.

    Cun-Xi Lei;Shun-Qin Hu;Guo-Li Shen;Ru-Qin Yu

  • Efficient fluorescence resonance energy transfer-based ratiometric fluorescent cellular imaging probe for Zn(2+) using a rhodamine spirolactam as a trigger.

    Unknown

  • An electrochemical stripping metalloimmunoassay based on silver-enhanced gold nanoparticle label.

    Xia Chu;Xin Fu;Ke Chen;Guo-Li Shen

  • Through Bond Energy Transfer: A Convenient and Universal Strategy toward Efficient Ratiometric Fluorescent Probe for Bioimaging Applications

    Yi-Jun Gong;Xiao-Bing Zhang;Cui-Cui Zhang;Ai-Li Luo

  • Ultrasensitive electrochemical sensor for mercury (II) based on target-induced structure-switching DNA

    Danhong Wu;Qing Zhang;Xia Chu;Haibo Wang

  • A mediator-free phenol biosensor based on immobilizing tyrosinase to ZnO nanoparticles

    Yin-Feng Li;Zhi-Min Liu;Zhi-Min Liu;Yan-Li Liu;Yun-Hui Yang

  • Reusable Electrochemical Sensing Platform for Highly Sensitive Detection of Small Molecules Based on Structure-Switching Signaling Aptamers

    Zai-Sheng Wu;Meng-Meng Guo;Song-Bai Zhang;Chen-Rui Chen

  • Ag/SiO2 core-shell nanoparticle-based surface-enhanced Raman probes for immunoassay of cancer marker using silica-coated magnetic nanoparticles as separation tools.

    Ji-Lai Gong;Yi Liang;Yong Huang;Ji-Wei Chen

  • Amperometric glucose biosensor based on a surface treated nanoporous ZrO2/Chitosan composite film as immobilization matrix

    Yunhui Yang;Yunhui Yang;Haifeng Yang;Minghui Yang;Yanli liu

Frequent Co-Authors

Ru-Qin Yu
Ru-Qin Yu Hunan University
Jian-Hui Jiang
Jian-Hui Jiang Hunan University
Xiao-Bing Zhang
Xiao-Bing Zhang Hunan University
Hua Wang
Hua Wang Qufu Normal University
Jishan Li
Jishan Li Hunan University
Shuangyan Huan
Shuangyan Huan Hunan University
Weihong Tan
Weihong Tan Hunan University
Cheng-Gang Niu
Cheng-Gang Niu Hunan University
Rongmei Kong
Rongmei Kong Qufu Normal University
Lin Tang
Lin Tang Hunan University

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