World's Best Scientists 2026 revealed!
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Danny J.J. Wang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 61 3647 3331 1678 1511 272 15265

Danny J.J. Wang publications per year

The chart shows the history of publications by Danny J.J. Wang between 2003 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Danny J.J. Wang published across 23 years, from 2003 to 2025, averaging 19.3 papers a year. Output peaked at 89 publications in 2024. 143 of the 443 publications appeared in the last two years.

No. of publications
20 40 60 80
Bar chart. Horizontal axis: year, 2003 to 2025. Vertical axis: number of publications, 0 to 89. Peak 89 publications in 2024. 2003: 2 publications 2004: 0 publications 2005: 0 publications 2006: 1 publication 2007: 1 publication 2008: 0 publications 2009: 1 publication 2010: 5 publications 2011: 11 publications 2012: 11 publications 2013: 17 publications 2014: 19 publications 2015: 26 publications 2016: 20 publications 2017: 19 publications 2018: 19 publications 2019: 21 publications 2020: 29 publications 2021: 23 publications 2022: 31 publications 2023: 44 publications 2024: 89 publications 2025: 54 publications
2003 2025

443 publications in total across all disciplines

View publications per year as a table
Danny J.J. Wang: publications per year, 2003 to 2025
Year Publications
2003 2
2004 0
2005 0
2006 1
2007 1
2008 0
2009 1
2010 5
2011 11
2012 11
2013 17
2014 19
2015 26
2016 20
2017 19
2018 19
2019 21
2020 29
2021 23
2022 31
2023 44
2024 89
2025 54
Total 443
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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.

No. of scientists
100 200 300 400 500
Bar chart with 86 bars. Horizontal axis: publications, 38–47 to 887+. Vertical axis: number of scientists, 0 to 539. Most scientists, 539, have 98–107 publications. The last bar groups every scientist with 887 publications or more. The highlighted bar, 268–277 publications, is where this scientist sits. 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 scientist 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38–47 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.

View publications distribution as a table
Number of Neuroscience scientists by publication count, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
Publications Scientists This scientist
38–47 18
48–57 79
58–67 193
68–77 323
78–87 406
88–97 452
98–107 539
108–117 505
118–127 522
128–137 469
138–147 456
148–157 459
158–167 397
168–177 383
178–187 350
188–197 302
198–207 306
208–217 262
218–227 242
228–237 220
238–247 203
248–257 174
258–267 176
268–277 175 272
278–287 125
288–297 116
298–307 127
308–317 128
318–327 99
328–337 89
338–347 78
348–357 96
358–367 66
368–377 59
378–387 65
388–397 54
398–407 48
408–417 49
418–427 34
428–437 31
438–447 30
448–457 31
458–467 36
468–477 40
478–487 35
488–497 30
498–507 23
508–517 26
518–527 20
528–537 23
538–547 20
548–557 20
558–567 17
568–577 14
578–587 20
588–597 20
598–607 19
608–617 18
618–627 17
628–637 11
638–647 11
648–657 11
658–667 8
668–677 7
678–687 11
688–697 10
698–707 4
708–717 6
718–727 5
728–737 5
738–747 9
748–757 9
758–767 3
768–777 7
778–787 7
788–797 6
798–807 2
808–817 2
818–827 7
828–837 0
838–847 9
848–857 3
858–867 1
868–877 3
878–886 6
887+ 100
Download as CSV

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.

No. of scientists
100 200 300 400 500
Bar chart with 68 bars. Horizontal axis: D-Index, 30–31 to 163+. Vertical axis: number of scientists, 0 to 512. Most scientists, 512, have 46–47 D-Index. The last bar groups every scientist with 163 D-Index or more. The highlighted bar, 60–61 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Neuroscience scientists by D-index, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
D-Index Scientists This scientist
30–31 42
32–33 172
34–35 296
36–37 435
38–39 459
40–41 456
42–43 467
44–45 478
46–47 512
48–49 435
50–51 425
52–53 418
54–55 392
56–57 357
58–59 334
60–61 328 61
62–63 260
64–65 278
66–67 239
68–69 250
70–71 210
72–73 200
74–75 189
76–77 170
78–79 146
80–81 113
82–83 126
84–85 100
86–87 84
88–89 99
90–91 84
92–93 85
94–95 72
96–97 76
98–99 45
100–101 49
102–103 43
104–105 32
106–107 45
108–109 50
110–111 32
112–113 39
114–115 32
116–117 29
118–119 27
120–121 19
122–123 23
124–125 27
126–127 16
128–129 24
130–131 13
132–133 21
134–135 17
136–137 14
138–139 15
140–141 10
142–143 10
144–145 13
146–147 9
148–149 8
150–151 6
152–153 6
154–155 7
156–157 7
158–159 10
160–161 4
162 8
163+ 100
Download as CSV

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

External Links

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Related Online Degrees & Career Pathways

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Many students are now looking at online programs for flexibility and affordability. Choosing online college courses with financial aid can make education more accessible, helping you earn a degree without heavy financial burden. Online learning platforms also let you tailor your educational path with specific training.

If you want to strengthen your résumé, pursuing certificates online is a great way to demonstrate expertise and boost employability in sectors related to neuroscience. For those looking for streamlined pathways, several online college degrees may suit your needs, offering convenient and effective study options. With the right combination of degrees and certifications, you can build a strong, adaptable career in this exciting field.

Best Scientists Citing Danny J.J. Wang

Hanzhang Lu

Hanzhang Lu

Johns Hopkins University School of Medicine

Publications: 71

John A. Detre

John A. Detre

University of Pennsylvania

Publications: 63

Bradley J. MacIntosh

Bradley J. MacIntosh

Sunnybrook Health Science Centre

Publications: 48

Peter C.M. van Zijl

Peter C.M. van Zijl

Kennedy Krieger Institute

Publications: 42

Manus J. Donahue

Manus J. Donahue

Vanderbilt University Medical Center

Publications: 37

Fernando Zelaya

Fernando Zelaya

King's College London

Publications: 34

Klaus Scheffler

Klaus Scheffler

Max Planck Society

Publications: 26

David L. Thomas

David L. Thomas

Johns Hopkins University

Publications: 26

David C. Alsop

David C. Alsop

Beth Israel Deaconess Medical Center

Publications: 25

Arthur W. Toga

Arthur W. Toga

University of Southern California

Publications: 23

Esben Thade Petersen

Esben Thade Petersen

Technical University of Denmark

Publications: 21

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 21

Sandra E. Black

Sandra E. Black

University of Toronto

Publications: 19

Frederik Barkhof

Frederik Barkhof

University College London

Publications: 19

Andrea Federspiel

Andrea Federspiel

University of Bern

Publications: 18

Paul M. Thompson

Paul M. Thompson

University of Southern California

Publications: 18

Trending Scientists

Michael Page

Michael Page

University College London

Yasuo Fukui

Yasuo Fukui

Nagoya University

Carolyn B. Coyne

Carolyn B. Coyne

Duke University

Steven E. Petersen

Steven E. Petersen

Washington University in St. Louis

Tijian Wang

Tijian Wang

Nanjing University

Philip C. Reid

Philip C. Reid

Plymouth University

Justin R. Cross

Justin R. Cross

Memorial Sloan Kettering Cancer Center

Clemens Steegborn

Clemens Steegborn

University of Bayreuth

Xingzhi Xu

Xingzhi Xu

Shenzhen University

A.Y. Elghazouli

A.Y. Elghazouli

Imperial College London

Ayache Bouakaz

Ayache Bouakaz

François Rabelais University

Robert X. Gao

Robert X. Gao

Case Western Reserve University

William J. Cook

William J. Cook

University of Waterloo

Armando Santoro

Armando Santoro

Humanitas University

Waldemar A. Carlo

Waldemar A. Carlo

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Leonid Polterovich

Leonid Polterovich

Tel Aviv University

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