World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
57
Citations
8360
World Ranking
4427
National Ranking
2002

Yuan Xiang Tao 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 Yuan Xiang Tao 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: 186 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Yuan Xiang Tao 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 Yuan Xiang Tao 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: 57 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Yuan Xiang Tao is affiliated with Rutgers, The State University of New Jersey in the United States. Their research primarily focuses on the field of neuroscience, with a specialized concentration on cognitive neuroscience. Within this domain, their work encompasses related subfields such as radiology, nuclear medicine and imaging, neurology, surgery, and global and planetary change.

The scientist has contributed extensively to topics including functional brain connectivity studies, neurobiology of language and bilingualism, advanced neuroimaging techniques and applications, neural dynamics and brain function, transcranial magnetic stimulation studies, EEG and brain-computer interfaces, as well as dementia and cognitive impairment research.

Among their recent publications are the following papers:

  • Evaluation on the integrated water resources management in China's major cities -- Based on City Blueprint® Approach, 2020, Journal of Cleaner Production
  • Different patterns of functional network reorganization across the variants of primary progressive aphasia: a graph-theoretic analysis, 2020, Neurobiology of Aging
  • Spatiotemporal properties of the neural representation of conceptual content for words and pictures - an MEG study, 2020, NeuroImage
  • Selective Functional Network Changes Following tDCS-Augmented Language Treatment in Primary Progressive Aphasia, 2021, Frontiers in Aging Neuroscience
  • How functional network connectivity changes as a result of lesion and recovery: An investigation of the network phenotype of stroke, 2020, Cortex

Yuan Xiang Tao frequently publishes in several venues, with the most publications appearing in arXiv (Cornell University). Other notable publication venues include Skin Research and Technology, Frontiers in Marine Science, Scientific Reports, and the Journal of Banking & Finance.

The scientist often collaborates with a number of coauthors. Frequent collaborators include Brenda Rapp, Kyrana Tsapkini, Ying Li, Qianqian Huang, and Bronte Ficek.

Best Publications

  • A long noncoding RNA contributes to neuropathic pain by silencing Kcna2 in primary afferent neurons

    Xiuli Zhao;Zongxiang Tang;Hongkang Zhang;Fidelis E. Atianjoh

  • DNA methyltransferase DNMT3a contributes to neuropathic pain by repressing Kcna2 in primary afferent neurons

    Jian Yuan Zhao;Lingli Liang;Xiyao Gu;Zhisong Li;Zhisong Li

  • Impaired NMDA receptor-mediated postsynaptic function and blunted NMDA receptor-dependent persistent pain in mice lacking postsynaptic density-93 protein.

    Yuan Xiang Tao;Gavin Rumbaugh;Guo Du Wang;Ronald S. Petralia

  • Spinal glutamate uptake is critical for maintaining normal sensory transmission in rat spinal cord

    Wen Jinn Liaw;Robert L. Stephens;Brian C. Binns;Yachun Chu;Yachun Chu

  • Persistent Inflammation Induces GluR2 Internalization via NMDA Receptor-Triggered PKC Activation in Dorsal Horn Neurons

    Jang Su Park;Nana Voitenko;Ronald S. Petralia;Xiaowei Guan

  • Are voltage-gated sodium channels on the dorsal root ganglion involved in the development of neuropathic pain?

    Wei-wei Wang;Jianguo G Gu;Yun-Qing Li;Yuan-Xiang Tao

  • Opioid receptor–triggered spinal mTORC1 activation contributes to morphine tolerance and hyperalgesia

    Ji Tian Xu;Ji Tian Xu;Jian Yuan Zhao;Xiuli Zhao;Davinna Ligons

  • Evidence of neuronal excitatory amino acid carrier 1 expression in rat dorsal root ganglion neurons and their central terminals.

    F Tao;W.-J Liaw;W.-J Liaw;B Zhang;M Yaster

  • Epigenetic regulation of chronic pain.

    Lingli Liang;Brianna Marie Lutz;Alex Bekker;Yuan Xiang Tao

  • Genetic knockout and pharmacologic inhibition of neuronal nitric oxide synthase attenuate nerve injury-induced mechanical hypersensitivity in mice.

    Yun Guan;Myron Yaster;Srinivasa N. Raja;Yuan Xiang Tao

  • Effect of genetic knockout or pharmacologic inhibition of neuronal nitric oxide synthase on complete Freund's adjuvant-induced persistent pain.

    Ya Chun Chu;Yun Guan;John Skinner;Srinivasa N. Raja

  • Peripherally acting mu-opioid receptor agonist attenuates neuropathic pain in rats after L5 spinal nerve injury.

    Yun Guan;Lisa M. Johanek;Timothy V. Hartke;Beom Shim

  • A nerve injury–specific long noncoding RNA promotes neuropathic pain by increasing Ccl2 expression

    Unknown

  • Noncoding RNAs New Players in Chronic Pain

    Brianna Marie Lutz;Alex Bekker;Yuan Xiang Tao

  • Impaired neuropathic pain and preserved acute pain in rats overexpressing voltage-gated potassium channel subunit Kv1.2 in primary afferent neurons

    Longchang Fan;Longchang Fan;Xiaowei Guan;Wei Wang;Jian Yuan Zhao

  • Differential roles of neuronal and endothelial nitric oxide synthases during carrageenan-induced inflammatory hyperalgesia

    F. Tao;Y.-X. Tao;C. Zhao;S. Doré

  • Expression and action of cyclic GMP-dependent protein kinase Iα in inflammatory hyperalgesia in rat spinal cord

    Y.-X. Tao;A. Hassan;E. Haddad;R.A. Johns

  • Role of spinal cord glutamate transporter during normal sensory transmission and pathological pain states

    Yuan-Xiang Tao;Jianguo G Gu;Robert L. Stephens

  • Expression and distribution of mTOR, p70S6K, 4E-BP1, and their phosphorylated counterparts in rat dorsal root ganglion and spinal cord dorsal horn☆

    Ji Tain Xu;Xiuli Zhao;Myron Yaster;Yuan Xiang Tao

  • Identification of Early RET+ Deep Dorsal Spinal Cord Interneurons in Gating Pain

    Lian Cui;Xuerong Miao;Lingli Liang;Ishmail Abdus-Saboor

  • Activation and up-regulation of spinal cord nitric oxide receptor, soluble guanylate cyclase, after formalin injection into the rat hind paw

    Y.-X. Tao;R.A. Johns

  • Long noncoding RNA (lncRNA): a target in neuropathic pain.

    Shaogen Wu;Jamie Bono;Yuan-Xiang Tao

Frequent Co-Authors

Srinivasa N. Raja
Srinivasa N. Raja Johns Hopkins University
Yun Guan
Yun Guan Johns Hopkins University School of Medicine
Richard L. Huganir
Richard L. Huganir Johns Hopkins University School of Medicine
Ronald S. Petralia
Ronald S. Petralia National Institutes of Health
David S. Bredt
David S. Bredt Johnson & Johnson (United States)
Kogo Takamiya
Kogo Takamiya University of Miyazaki
Richard A. Meyer
Richard A. Meyer Johns Hopkins University
Eric J. Nestler
Eric J. Nestler Icahn School of Medicine at Mount Sinai
Jian Feng
Jian Feng University at Buffalo, State University of New York
Jianjun Yang
Jianjun Yang Zhengzhou University

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