World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
51
Citations
10625
World Ranking
5501
National Ranking
2446

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
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
Rogier B. Mars
Rogier B. Mars University of Oxford
Ya Wang
Ya Wang Capital Normal University
Simon S.Y. Lui
Simon S.Y. Lui University of Hong Kong
Jakob Seidlitz
Jakob Seidlitz University of Pennsylvania

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