World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
41
Citations
7180
World Ranking
7832
National Ranking
3362

Zhiming Zhang publication distribution in Neuroscience in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where Zhiming Zhang sits on this spectrum.

38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 83 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

Zhiming Zhang D-index placement in Neuroscience in 2026

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

30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30 D-Index 163+

This scientist: 41 D-Index — 19th percentile

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

The last bar groups every scientist with 163 D-Index or more.

Overview

Zhiming Zhang is a researcher affiliated with the University of Kentucky in the United States, specializing primarily in Environmental Science and Agricultural and Biological Sciences. Their work spans multiple interconnected subfields, including Ecology, Nature and Landscape Conservation, Nutrition and Dietetics, Global and Planetary Change, and Food Science.

Their research topics focus on areas such as Fish Ecology and Management Studies, Ecology and Vegetation Dynamics Studies, Fish Biology and Ecology Studies, Aquatic Ecosystems and Biodiversity, Hydrology and Sediment Transport Processes, Fermentation and Sensory Analysis, and Selenium in Biological Systems.

Zhiming Zhang has contributed to several recent scholarly publications. Some notable papers include:

  • Fermented Angelica sinensis activates Nrf2 signaling and modulates the gut microbiota composition and metabolism to attenuate d-gal induced liver aging, 2022, Food & Function
  • Characterization of Volatile Compounds by HS-GC-IMS and Chemical Composition Analysis of Colored Highland Barley Roasted at Different Temperatures, 2022, Foods
  • Environmentally relevant concentrations of selenite trigger reproductive toxicity by affecting oocyte development and promoting larval apoptosis, 2022, Environmental Pollution
  • Evidence and Mechanisms of Selenate Reduction to Extracellular Elemental Selenium Nanoparticles on the Biocathode, 2022, Environmental Science & Technology
  • Responses of bud banks and shoot density to experimental drought along an aridity gradient in temperate grasslands, 2023, Functional Ecology

Zhiming Zhang has frequently published in the following venues:

  • Biodiversity Science
  • Phyton
  • Journal of Applied Ichthyology
  • Research Square (Research Square)
  • Food & Function

Throughout their career, Zhiming Zhang has collaborated regularly with several co-authors. Frequent co-authors include Jianqiang Qian, Junfeng Gao, Yongjiu Cai, Cong Wang, and Xiayin Zhang.

Best Publications

  • Functional recovery in parkinsonian monkeys treated with GDNF.

    D M Gash;Z Zhang;A Ovadia;W A Cass

  • Caloric restriction increases neurotrophic factor levels and attenuates neurochemical and behavioral deficits in a primate model of Parkinson's disease

    Navin Maswood;Jennifer Young;Edward Tilmont;Zhiming Zhang

  • Chronic, controlled GDNF infusion promotes structural and functional recovery in advanced parkinsonian monkeys

    Richard Grondin;Zhiming Zhang;Ai Yi;Wayne A. Cass

  • The AMPA receptor antagonist NBQX has antiparkinsonian effects in monoamine-depleted rats and MPTP-treated monkeys.

    T Klockgether;L Turski;T Honoré;Z M Zhang

  • Critical decline in fine motor hand movements in human aging

    C.D. Smith;G.H. Umberger;E.L. Manning;J.T. Slevin

  • Point source concentration of GDNF may explain failure of phase II clinical trial.

    Michael Francis Salvatore;Yi Ai;Brent Fischer;Amanda M. Zhang

  • Neuroprotective and neurorestorative properties of GDNF.

    Don M. Gash;Zhiming Zhang;Greg Gerhardt

  • Six-month partial suppression of Huntingtin is well tolerated in the adult rhesus striatum

    Richard Grondin;Michael D. Kaytor;Yi Ai;Peter T. Nelson

  • Antiparkinsonian effects of remacemide hydrochloride, a glutamate antagonist, in rodent and primate models of Parkinson's disease

    J. T. Greenamyre;R. V. Eller;Zhiming Zhang;A. Ovadia

  • Increased susceptibility to MPTP toxicity in middle-aged rhesus monkeys

    Aliza Ovadia;Zhiming Zhang;Don M. Gash

  • Intraputamenal infusion of GDNF in aged rhesus monkeys: distribution and dopaminergic effects.

    Yi Ai;William Markesbery;Zhiming Zhang;Richard Grondin

  • Glial cell line-derived neurotrophic factor increases stimulus-evoked dopamine release and motor speed in aged rhesus monkeys.

    Richard Grondin;Wayne A. Cass;Zhiming Zhang;John A. Stanford

  • Widespread suppression of huntingtin with convection-enhanced delivery of siRNA.

    David K. Stiles;Zhiming Zhang;Pei Ge;Brian Nelson

  • Dose Response to Intraventricular Glial Cell Line-Derived Neurotrophic Factor Administration in Parkinsonian Monkeys

    Zhiming Zhang;Yasuyuki Miyoshi;Paul A. Lapchak;Frank Collins

  • Participation of prostate apoptosis response-4 in degeneration of dopaminergic neurons in models of Parkinson's disease

    Wenzhen Duan;Zhiming Zhang;Don M. Gash;Mark P. Mattson

  • Changes in somatodendritic but not terminal dopamine regulation in aged rhesus monkeys.

    Greg A. Gerhardt;Wayne A. Cass;Ai Yi;Zhiming Zhang

  • GDNF improves dopamine function in the substantia nigra but not the putamen of unilateral MPTP-lesioned rhesus monkeys

    Greg A. Gerhardt;Wayne A. Cass;Peter Huettl;Scot Brock

  • Morphological and functional effects of intranigrally administered GDNF in normal rhesus monkeys.

    Don Marshall Gash;Zhiming Zhang;Wayne A. Cass;Aliza Ovadia

  • Trophic factor distribution predicts functional recovery in parkinsonian monkeys.

    Don M. Gash;Zhiming Zhang;Yi Ai;Richard Grondin

  • Correlation of R2 with total iron concentration in the brains of rhesus monkeys.

    Peter A. Hardy;Don Gash;Robert Yokel;Anders Andersen

Frequent Co-Authors

Don M. Gash
Don M. Gash University of Kentucky
Greg A. Gerhardt
Greg A. Gerhardt University of Kentucky
Richard Grondin
Richard Grondin University of Kentucky
Wayne A. Cass
Wayne A. Cass University of Kentucky
Barry J. Hoffer
Barry J. Hoffer Case Western Reserve University
Richard J. Kryscio
Richard J. Kryscio University of Kentucky
Michael J. Zigmond
Michael J. Zigmond University of Pittsburgh
Mark P. Mattson
Mark P. Mattson Johns Hopkins University
William R. Markesbery
William R. Markesbery University of Kentucky
Paul A. Lapchak
Paul A. Lapchak Cedars-Sinai Medical Center

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