World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
63
Citations
18799
World Ranking
3353
National Ranking
1554

Thomas T. Liu 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 Thomas T. Liu 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: 145 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Thomas T. Liu 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 Thomas T. Liu 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: 63 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Thomas T. Liu is affiliated with the University of California, San Diego in the United States. Their research primarily spans the fields of Medicine and Neuroscience, with notable contributions to Radiology, Nuclear Medicine and Imaging, and Cognitive Neuroscience. Additional subfields of study include Cardiology and Cardiovascular Medicine, Atomic and Molecular Physics and Optics, as well as Electrical and Electronic Engineering.

The scientist's work includes several main topics such as:

  • Advanced MRI Techniques and Applications
  • Functional Brain Connectivity Studies
  • Cardiac Imaging and Diagnostics
  • Neural dynamics and brain function
  • Advanced Neuroimaging Techniques and Applications
  • EEG and Brain-Computer Interfaces
  • Cerebrovascular and Carotid Artery Diseases

Recent significant papers by Thomas T. Liu include:

  • "Control of the activity of CAR-T cells within tumours via focused ultrasound," 2021, Nature Biomedical Engineering
  • "Distinct thalamocortical network dynamics are associated with the pathophysiology of chronic low back pain," 2020, Nature Communications
  • "Vigilance Effects in Resting-State fMRI," 2020, Frontiers in Neuroscience
  • "Respiratory, cardiac, EEG, BOLD signals and functional connectivity over multiple microsleep episodes," 2021, NeuroImage
  • "Effects of Sub-threshold Transcutaneous Auricular Vagus Nerve Stimulation on Cingulate Cortex and Insula Resting-state Functional Connectivity," 2022, Frontiers in Human Neuroscience

They have collaborated frequently with other researchers, including:

  • Conan Chen
  • Divya S. Bolar
  • Eric C. Wong
  • Aaron Jacobson

Thomas T. Liu's work has been published in a range of venues, predominantly:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Magnetic Resonance in Medicine
  • Nature Communications
  • Frontiers in Neuroscience

Best Publications

  • A component based noise correction method (CompCor) for BOLD and perfusion based fMRI

    Yashar Behzadi;Khaled Restom;Joy Liau;Thomas T. Liu

  • Modeling the hemodynamic response to brain activation.

    Richard B. Buxton;Kâmil Uludağ;David J. Dubowitz;Thomas T. Liu

  • The global signal in fMRI: Nuisance or Information?

    Thomas T. Liu;Alican Nalci;Maryam Falahpour

  • Detection power, estimation efficiency, and predictability in event-related fMRI.

    Thomas T. Liu;Lawrence R. Frank;Lawrence R. Frank;Eric C. Wong;Richard B. Buxton

  • Noise contributions to the fMRI signal: An overview.

    Thomas T. Liu

  • Velocity-selective arterial spin labeling.

    Eric C. Wong;Matthew Cronin;Wen-Chau Wu;Ben Inglis

  • Cortical depth-specific microvascular dilation underlies laminar differences in blood oxygenation level-dependent functional MRI signal

    Peifang Tian;Ivan C. Teng;Larry D. May;Ronald Kurz

  • Coupling of cerebral blood flow and oxygen consumption during physiological activation and deactivation measured with fMRI

    Kâmil Uludağ;David J. Dubowitz;Elizabeth J. Yoder;Khaled Restom

  • The amplitude of the resting-state fMRI global signal is related to EEG vigilance measures

    Chi Wah Wong;Valur T. Olafsson;Omer Tal;Thomas T. Liu

  • Discrepancies between BOLD and flow dynamics in primary and supplementary motor areas: application of the balloon model to the interpretation of BOLD transients.

    Takayuki Obata;Thomas T Liu;Karla L Miller;Wen Ming Luh

  • Nonlinear temporal dynamics of the cerebral blood flow response.

    Karla L. Miller;Wen-Ming Luh;Thomas T. Liu;Antigona Martinez

  • A signal processing model for arterial spin labeling functional MRI.

    Thomas T. Liu;Eric C. Wong

  • Measurement of cerebral perfusion with arterial spin labeling: Part 1. Methods.

    Thomas T. Liu;Gregory G. Brown

  • Function biomedical informatics research network recommendations for prospective multicenter functional MRI studies

    Gary H. Glover;Bryon A. Mueller;Jessica A. Turner;Jessica A. Turner;Theo G.M. Van Erp

  • Cerebral perfusion and oxygenation differences in Alzheimer's disease risk

    Adam S. Fleisher;Katherine M. Podraza;Katherine J. Bangen;Curtis Taylor

  • Caffeine induced uncoupling of cerebral blood flow and oxygen metabolism: A calibrated-BOLD fMRI study

    Joanna E. Perthen;Amy E. Lansing;Joy Liau;Thomas T. Liu

  • Efficiency, power, and entropy in event-related FMRI with multiple trial types: Part I: theory

    Thomas T. Liu;Lawrence R. Frank;Lawrence R. Frank

  • Cerebral blood flow predicts differential neurotransmitter activity

    Juergen Dukart;Štefan Holiga;Christopher Chatham;Peter Hawkins

  • The Function Biomedical Informatics Research Network Data Repository.

    David B Keator;Theo G M van Erp;Jessica A Turner;Gary H Glover

  • Neurovascular factors in resting-state functional MRI.

    Thomas T. Liu

  • Cerebral Blood Flow and BOLD Responses to a Memory Encoding Task: A Comparison Between Healthy Young and Elderly Adults

    Khaled Restom;Katherine J. Bangen;Mark W. Bondi;Mark W. Bondi;Joanna E. Perthen

  • Efficiency, power, and entropy in event-related fMRI with multiple trial types. Part II: design of experiments.

    Thomas T. Liu

Frequent Co-Authors

Christina E. Wierenga
Christina E. Wierenga University of California, San Diego
Mark W. Bondi
Mark W. Bondi University of California, San Diego
Richard B. Buxton
Richard B. Buxton University of California, San Diego
Gregory G. Brown
Gregory G. Brown University of California, San Diego
Katherine J. Bangen
Katherine J. Bangen University of California, San Diego
Martin P. Paulus
Martin P. Paulus Laureate Institute for Brain Research
Vince D. Calhoun
Vince D. Calhoun Georgia State University
Amy J. Jak
Amy J. Jak University of California, San Diego
Lisa Delano-Wood
Lisa Delano-Wood University of California, San Diego
Bhaskar D. Rao
Bhaskar D. Rao University of California, San Diego

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