World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
61
Citations
15265
World Ranking
3647
National Ranking
1678

Danny J.J. Wang 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 Danny J.J. Wang 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: 272 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Danny J.J. Wang 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 Danny J.J. Wang 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: 61 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Best Publications

  • Recommended Implementation of Arterial Spin Labeled Perfusion MRI for Clinical Applications: A consensus of the ISMRM Perfusion Study Group and the European Consortium for ASL in Dementia

    David C. Alsop;John A. Detre;Xavier Golay;Matthias Günther

  • Vascular dysfunction-The disregarded partner of Alzheimer's disease

    Melanie D. Sweeney;Axel Montagne;Abhay P. Sagare;Daniel A. Nation

  • Imaging Brain Fatigue from Sustained Mental Workload: An ASL Perfusion Study of the Time-On-Task Effect

    Julian Lim;Wen-chau Wu;Jiongjiong Wang;John A. Detre

  • Applications of arterial spin labeled MRI in the brain.

    John A. Detre;Hengyi Rao;Danny J.J. Wang;Yu Fen Chen

  • Test-retest reliability of arterial spin labeling with common labeling strategies

    Yufen Chen;Danny J.J. Wang;Danny J.J. Wang;John A. Detre

  • Multi-delay multi-parametric arterial spin-labeled perfusion MRI in acute ischemic stroke - Comparison with dynamic susceptibility contrast enhanced perfusion imaging.

    Danny J.J. Wang;Jeffry R. Alger;Joe X. Qiao;Matthias Gunther

  • Brain arteriolosclerosis

    Unknown

  • The Value of Arterial Spin-Labeled Perfusion Imaging in Acute Ischemic Stroke Comparison With Dynamic Susceptibility Contrast-Enhanced MRI

    Danny J.J. Wang;Jeffry R. Alger;Joe X. Qiao;Qing Hao

  • Massively parallel functional photoacoustic computed tomography of the human brain.

    Shuai Na;Jonathan J. Russin;Li Lin;Xiaoyun Yuan;Xiaoyun Yuan

  • Cerebral blood flow changes associated with different meditation practices and perceived depth of meditation.

    Danny J.J. Wang;Hengyi Rao;Marc Korczykowski;Nancy Wintering

  • Mapping water exchange across the blood-brain barrier using 3D diffusion-prepared arterial spin labeled perfusion MRI.

    Xingfeng Shao;Samantha J. Ma;Marlene Casey;Lina D’Orazio

  • Support vector machine learning-based fMRI data group analysis

    Ze Wang;Anna Rose Childress;Jiongjiong Wang;John A. Detre

  • Default Mode Network Complexity and Cognitive Decline in Mild Alzheimer’s Disease

    Matthias Grieder;Danny J. J. Wang;Thomas Dierks;Lars-Olof Wahlund

  • Neurophysiological Basis of Multi-Scale Entropy of Brain Complexity and Its Relationship With Functional Connectivity

    Danny J J Wang;Kay Jann;Chang Fan;Yang Qiao;Yang Qiao

  • Reliability of two-dimensional and three-dimensional pseudo-continuous arterial spin labeling perfusion MRI in elderly populations: comparison with 15O-water positron emission tomography.

    Emily Kilroy;Liana Apostolova;Collin Liu;Collin Liu;Lirong Yan

  • Multi-delay arterial spin labeling perfusion MRI in moyamoya disease–comparison with CT perfusion imaging

    Rui Wang;Rui Wang;Songlin Yu;Songlin Yu;Jeffry R. Alger;Zhentao Zuo

  • Postischemic hyperperfusion on arterial spin labeled perfusion MRI is linked to hemorrhagic transformation in stroke

    Songlin Yu;David S Liebeskind;Sumit Dua;Holly Wilhalme

  • Functional connectivity in BOLD and CBF data: similarity and reliability of resting brain networks.

    Kay Jann;Dylan G. Gee;Emily Kilroy;Simon Schwab

  • Reduced regional cerebral blood flow in patients with heart failure

    Bhaswati Roy;Mary A. Woo;Danny J.J. Wang;Gregg C. Fonarow

  • Potentials and Challenges for Arterial Spin Labeling in Pharmacological Magnetic Resonance Imaging

    Danny J. J. Wang;Yufen Chen;María A. Fernández-Seara;John A. Detre

  • Longitudinal Reproducibility and Accuracy of Pseudo-Continuous Arterial Spin–labeled Perfusion MR Imaging in Typically Developing Children

    Varsha Jain;Jeffrey Duda;Brian Avants;Mariel Giannetta

  • Quantitative characterization of nuclear overhauser enhancement and amide proton transfer effects in the human brain at 7 tesla.

    Dapeng Liu;Dapeng Liu;Jinyuan Zhou;Jinyuan Zhou;Rong Xue;Rong Xue;Zhentao Zuo;Zhentao Zuo

Frequent Co-Authors

David S. Liebeskind
David S. Liebeskind University of California, Los Angeles
Arthur W. Toga
Arthur W. Toga University of Southern California
John A. Detre
John A. Detre University of Pennsylvania
Jeffrey L Saver
Jeffrey L Saver University of California, Los Angeles
Jeffry R. Alger
Jeffry R. Alger University of California, Los Angeles
Sheng He
Sheng He Chinese Academy of Sciences
Hanzhang Lu
Hanzhang Lu Johns Hopkins University School of Medicine
Brian B. Avants
Brian B. Avants University of Virginia
Mirella Dapretto
Mirella Dapretto University of California, Los Angeles
Katherine L. Narr
Katherine L. Narr University of California, Los Angeles

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