World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
51
Citations
10625
World Ranking
5501
National Ranking
2445

Ting Xu 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 Ting Xu 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: 152 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Ting Xu 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 Ting Xu 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: 51 D-Index — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Overview

Ting Xu is affiliated with the University of California, Davis in the United States. Their research primarily spans the fields of neuroscience and psychology, with a concentrated focus on cognitive neuroscience and experimental and cognitive psychology. Additional subfields of study include radiology, nuclear medicine and imaging, social psychology, and clinical psychology.

Their body of work encompasses significant topics such as functional brain connectivity studies, neural dynamics and brain function, mental health research topics, advanced neuroimaging techniques and applications, neural and behavioral psychology studies, and detailed areas involving anxiety, depression, psychometrics, treatment, and cognitive processes. Advanced MRI techniques also constitute a notable portion of their research interests.

Frequent publication venues for Ting Xu include bioRxiv (Cold Spring Harbor Laboratory), where they have contributed to 32 publications; NeuroImage with eight publications; eLife with five; Chemical Engineering Journal also with five; and Geochimica et Cosmochimica Acta with three.

Among Ting Xu's recurring collaborators are Benjamin Becker, Michael P. Milham, Zhiyi Chen, Tingyong Feng, and Feng Zhou, reflecting frequent coauthorship connections across various projects.

Key papers illustrating Ting Xu's research contributions are:

  • "Cross-species functional alignment reveals evolutionary hierarchy within the connectome," 2020, NeuroImage
  • "Neurodevelopment of the association cortices: Patterns, mechanisms, and implications for psychopathology," 2021, Neuron
  • "BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets," 2020, Communications Biology
  • "Toward a connectivity gradient-based framework for reproducible biomarker discovery," 2020, NeuroImage
  • "Sustainable preparation of bifunctional cellulose nanocrystals via mixed H2SO4/formic acid hydrolysis," 2021, Carbohydrate Polymers

Best Publications

  • BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets

    Reinder Vos de Wael;Oualid Benkarim;Casey Paquola;Sara Lariviere

  • Neurodevelopment of the association cortices: Patterns, mechanisms, and implications for psychopathology.

    Valerie J. Sydnor;Bart Larsen;Danielle S. Bassett;Aaron Alexander-Bloch;Aaron Alexander-Bloch

  • A somato-cognitive action network alternates with effector regions in motor cortex

    Unknown

  • Toward reliable characterization of functional homogeneity in the human brain: Preprocessing, scan duration, imaging resolution and computational space

    Xi-Nian Zuo;Ting Xu;Lili Jiang;Zhi Yang

  • An open science resource for establishing reliability and reproducibility in functional connectomics

    Xi Nian Zuo;Jeffrey S. Anderson;Pierre Bellec;Rasmus M. Birn

  • TNF-α Differentially Regulates Synaptic Plasticity in the Hippocampus and Spinal Cord by Microglia-Dependent Mechanisms after Peripheral Nerve Injury.

    Yong Liu;Li Jun Zhou;Li Jun Zhou;Jun Wang;Dai Li

  • Harnessing reliability for neuroscience research.

    Xi-Nian Zuo;Ting Xu;Michael Peter Milham;Michael Peter Milham

  • An Open Resource for Non-human Primate Imaging

    Michael P. Milham;Michael P. Milham;Lei Ai;Bonhwang Koo;Ting Xu

  • Cross-species functional alignment reveals evolutionary hierarchy within the connectome.

    Ting Xu;Karl Heinz Nenning;Ernst Schwartz;Seok Jun Hong

  • Neurological Soft Signs in Schizophrenia: A Meta-analysis

    Raymond C. K. Chan;Ting Xu;Ting Xu;R. Walter Heinrichs;Yue Yu

  • Functional brain hubs and their test–retest reliability: A multiband resting-state functional MRI study

    Xu-Hong Liao;Ming-Rui Xia;Ting Xu;Zheng-Jia Dai

  • Extending the utility of the Depression Anxiety Stress scale by examining its psychometric properties in Chinese settings

    Raymond C.K. Chan;Ting Xu;Jia Huang;Yi Wang

  • Toward a connectivity gradient-based framework for reproducible biomarker discovery.

    Seok-Jun Hong;Ting Xu;Aki Nikolaidis;Jonathan Smallwood

  • A Connectome Computation System for discovery science of brain

    Ting Xu;Zhi Yang;Lili Jiang;Xiu-Xia Xing

  • Can Taichi Reshape the Brain? A Brain Morphometry Study

    Gao-Xia Wei;Ting Xu;Feng-Mei Fan;Hao-Ming Dong

  • Alexithymia and emotional regulation: A cluster analytical approach.

    Jie Chen;Jie Chen;Ting Xu;Jin Jing;Raymond C K Chan

  • Genetic and phylogenetic uncoupling of structure and function in human transmodal cortex

    Unknown

  • Shaping brain structure: Genetic and phylogenetic axes of macroscale organization of cortical thickness.

    Sofie L. Valk;Sofie L. Valk;Ting Xu;Daniel S. Margulies;Daniel S. Margulies;Shahrzad Kharabian Masouleh

  • Individual Variability and Test-Retest Reliability Revealed by Ten Repeated Resting-State Brain Scans over One Month

    Bing Chen;Bing Chen;Ting Xu;Changle Zhou;Luoyu Wang

  • Cell-Specific Gene-Expression Profiles and Cortical Thickness in the Human Brain.

    Jean Shin;Leon French;Ting Xu;Gabriel Leonard

  • Connectivity trajectory across lifespan differentiates the precuneus from the default network

    Zhi Yang;Zhi Yang;Catie Chang;Ting Xu;Lili Jiang

  • CircAnks1a in the spinal cord regulates hypersensitivity in a rodent model of neuropathic pain.

    Su-Bo Zhang;Su-Yan Lin;Meng Liu;Cui-Cui Liu

  • An open science resource for establishing reliability and reproducibility in functional

    Randy L. Buckner;Vince D. Calhoun;F. Xavier Castellanos;Antao Chen

Frequent Co-Authors

Michael P. Milham
Michael P. Milham Child Mind Institute
Daniel S. Margulies
Daniel S. Margulies Centre national de la recherche scientifique, CNRS
Xi-Nian Zuo
Xi-Nian Zuo Beijing Normal University
Tingyong Feng
Tingyong Feng Southwest University
R. Cameron Craddock
R. Cameron Craddock Facebook (United States)
Raymond C.K. Chan
Raymond C.K. Chan Chinese Academy of Sciences
Charles E. Schroeder
Charles E. Schroeder Nathan Kline Institute for Psychiatric Research
Joshua T. Vogelstein
Joshua T. Vogelstein Johns Hopkins University
Rogier B. Mars
Rogier B. Mars University of Oxford
Jakob Seidlitz
Jakob Seidlitz University of Pennsylvania

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