World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
41
Citations
7177
World Ranking
7833
National Ranking
122

Ni Shu 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 Ni Shu 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: 92 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Ni Shu 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 Ni Shu 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: 41 D-Index — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Overview

Ni Shu is a researcher primarily affiliated with Beijing Normal University in China. The scientist's work centers on medicine and neuroscience, with a significant focus on cognitive neuroscience and neuroimaging methods. Their research encompasses multiple subfields including radiology, nuclear medicine and imaging, psychiatry and mental health, physiology, and neurology.

Ni Shu's research topics prominently feature studies in functional brain connectivity, advanced neuroimaging techniques, and dementia-related cognitive impairment. They have contributed to the advancement of understanding Alzheimer's disease and related treatments, utilizing advanced MRI techniques and exploring neural dynamics and brain function as well as bioinformatics and genomic networks.

Several recent publications highlight this focus:

  • "Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer's disease" (2020) published in Molecular Neurodegeneration
  • "Early prevention of cognitive impairment in the community population: The Beijing Aging Brain Rejuvenation Initiative" (2021) published in Alzheimer s & Dementia
  • "Abnormal characterization of dynamic functional connectivity in Alzheimer's disease" (2021) published in Neural Regeneration Research
  • "Age-Related Decline in the Topological Efficiency of the Brain Structural Connectome and Cognitive Aging" (2020) published in Cerebral Cortex
  • "Altered Volume and Structural Connectivity of the Hippocampus in Alzheimer's Disease and Amnestic Mild Cognitive Impairment" (2021) published in Frontiers in Aging Neuroscience

Their frequent co-authors include Weijie Huang, Haojie Chen, Guolin Ma, Guozheng Feng, and Ying Han, with multiple collaborations evident across the research portfolio.

Ni Shu has published extensively in various scientific venues, with a high number of papers appearing in bioRxiv (Cold Spring Harbor Laboratory), NeuroImage, Alzheimer s & Dementia, Cerebral Cortex, and Human Brain Mapping.

  • bioRxiv (Cold Spring Harbor Laboratory)
  • NeuroImage
  • Alzheimer s & Dementia
  • Cerebral Cortex
  • Human Brain Mapping

The scientist's body of work includes over ninety publications in medicine and more than fifty in neuroscience, with substantial contributions to advancing knowledge in cognitive neuroscience and neuroimaging relevant to brain aging and neurodegenerative diseases.

Best Publications

  • Topological organization of the human brain functional connectome across the lifespan.

    Miao Cao;Miao Cao;Jin-Hui Wang;Jin-Hui Wang;Zheng-Jia Dai;Zheng-Jia Dai;Xiao-Yan Cao;Xiao-Yan Cao

  • Altered resting-state functional connectivity and anatomical connectivity of hippocampus in schizophrenia

    Yuan Zhou;Ni Shu;Yong Liu;Ming Song

  • Diffusion Tensor Tractography Reveals Disrupted Topological Efficiency in White Matter Structural Networks in Multiple Sclerosis

    Ni Shu;Yaou Liu;Kuncheng Li;Yunyun Duan

  • Topologically Convergent and Divergent Structural Connectivity Patterns between Patients with Remitted Geriatric Depression and Amnestic Mild Cognitive Impairment

    Feng Bai;Ni Shu;Yonggui Yuan;Yongmei Shi

  • Identifying and Mapping Connectivity Patterns of Brain Network Hubs in Alzheimer's Disease

    Zhengjia Dai;Chaogan Yan;Kuncheng Li;Zhiqun Wang

  • Probabilistic Diffusion Tractography and Graph Theory Analysis Reveal Abnormal White Matter Structural Connectivity Networks in Drug-Naive Boys with Attention Deficit/Hyperactivity Disorder

    Qingjiu Cao;Ni Shu;Li An;Peng Wang

  • Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer’s disease

    Xiaoqi Wang;Weijie Huang;Weijie Huang;Li Su;Li Su;Yue Xing

  • Development of Human Brain Structural Networks Through Infancy and Childhood

    Hao Huang;Ni Shu;Virendra Mishra;Tina Jeon

  • White matter abnormalities in first-episode, treatment-naive young adults with major depressive disorder.

    Ning Ma;Lingjiang Li;Ni Shu;Jun Liu

  • Age-related changes in the topological organization of the white matter structural connectome across the human lifespan

    Tengda Zhao;Miao Cao;Miao Cao;Haijing Niu;Haijing Niu;Xi-Nian Zuo

  • Effects of Different Correlation Metrics and Preprocessing Factors on Small-World Brain Functional Networks: A Resting-State Functional MRI Study

    Xia Liang;Jinhui Wang;Chaogan Yan;Ni Shu

  • Altered anatomical network in early blindness revealed by diffusion tensor tractography.

    Ni Shu;Yong Liu;Jun Li;Jun Li;Yonghui Li

  • Imaging Functional and Structural Brain Connectomics in Attention-Deficit/Hyperactivity Disorder

    Miao Cao;Ni Shu;Qingjiu Cao;Yufeng Wang

  • Prefrontal white matter abnormalities in young adult with major depressive disorder: a diffusion tensor imaging study.

    Lingjiang Li;Ning Ma;Zexuan Li;Liwen Tan

  • White matter tract integrity and intelligence in patients with mental retardation and healthy adults.

    Chunshui Yu;Jun Li;Yong Liu;Wen Qin

  • Disrupted Topologic Efficiency of White Matter Structural Connectome in Individuals with Subjective Cognitive Decline.

    Ni Shu;Xiaoni Wang;Qiuhui Bi;Tengda Zhao

  • White matter integrity disruptions associated with cognitive impairments in type 2 diabetic patients.

    Junying Zhang;Yunxia Wang;Jun Wang;Xiaoqing Zhou

  • Test-Retest Reliability of Graph Metrics in Functional Brain Networks: A Resting-State fNIRS Study

    Haijing Niu;Zhen Li;Xuhong Liao;Jinhui Wang

  • Disrupted Topological Organization in White Matter Structural Networks in Amnestic Mild Cognitive Impairment: Relationship to Subtype

    Ni Shu;Ying Liang;He Li;Junying Zhang

  • Revealing Topological Organization of Human Brain Functional Networks with Resting-State Functional near Infrared Spectroscopy

    Haijing Niu;Jinhui Wang;Tengda Zhao;Ni Shu

  • Abnormal diffusion of cerebral white matter in early blindness

    Ni Shu;Jun Li;Kuncheng Li;Chunshui Yu

Frequent Co-Authors

Yong He
Yong He Beijing Normal University
Kuncheng Li
Kuncheng Li Capital Medical University
Mingrui Xia
Mingrui Xia Beijing Normal University
Chunshui Yu
Chunshui Yu Tianjin Medical University General Hospital
Tianzi Jiang
Tianzi Jiang Chinese Academy of Sciences
Kewei Chen
Kewei Chen Arizona State University
Jinhui Wang
Jinhui Wang South China Normal University
Qi Dong
Qi Dong Beijing Normal University
Gaolang Gong
Gaolang Gong Beijing Normal University
Zhijun Zhang
Zhijun Zhang Southeast University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Choosing to study neuroscience opens doors to a range of related online degrees and career pathways. Many students combine neuroscience with counseling, mental health, or social work to expand their professional options.

If you are interested in therapy and counseling, consider exploring mft masters programs, which prepare graduates for Marriage and Family Therapist roles. For those seeking a broader foundation in psychology, there are flexible psychology degrees online offered by many institutions.

You may also wish to pursue an advanced credential such as a masters of psychology online to gain further expertise in research, assessment, and behavioral science.

Alternatively, if your passion leans toward advocacy and community impact, you can explore the msw online degree to work as a licensed social worker. Each of these degrees offers a unique way to build a rewarding career rooted in neuroscience, mental health, and helping others.

Best Scientists Citing Ni Shu

Trending Scientists

Recently Published Articles