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Shannon L. Risacher

Shannon L. Risacher

Indiana University
United States

D-Index & Metrics

Neuroscience

D-Index
67
Citations
18520
World Ranking
2862
National Ranking
1328

Shannon L. Risacher 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 Shannon L. Risacher 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: 647 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Shannon L. Risacher 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 Shannon L. Risacher 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: 67 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Shannon L. Risacher is affiliated with Indiana University in the United States. Their research primarily focuses on Medicine, with a considerable number of publications related to Radiology, Nuclear Medicine and Imaging; Physiology; Psychiatry and Mental Health; Molecular Biology; and Cognitive Neuroscience.

The main topics covered by Risacher include:

  • Dementia and Cognitive Impairment Research
  • Alzheimer's Disease Research and Treatments
  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Bioinformatics and Genomic Networks
  • Genetic Associations and Epidemiology
  • Advanced MRI Techniques and Applications

Recent published papers by Risacher include:

  • Bundle analytics, a computational framework for investigating the shapes and profiles of brain pathways across populations, 2020, Scientific Reports
  • Serum triglycerides in Alzheimer disease, 2020, Neurology
  • Deep learning detection of informative features in tau PET for Alzheimer's disease classification, 2020, BMC Bioinformatics
  • Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach, 2020, Medical Image Analysis
  • Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment, 2021, Medical Image Analysis

Frequent co-authors collaborating with Risacher include:

  • Andrew J. Saykin
  • Liana G. Apostolova
  • Kwangsik Nho
  • Sujuan Gao
  • Yu-Chien Wu

Their contributions have been regularly published in key venues such as:

  • Alzheimer s & Dementia
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring
  • Proceedings of IMPRS
  • Journal of Alzheimer s Disease

Best Publications

  • Common genetic variants influence human subcortical brain structures.

    Derrek P. Hibar;Jason L. Stein;Jason L. Stein;Miguel E. Renteria;Alejandro Arias-Vasquez

  • The genetic architecture of the human cerebral cortex

    Katrina L. Grasby;Neda Jahanshad;Jodie N. Painter;Lucía Colodro-Conde

  • The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

    Paul M. Thompson;Jason L. Stein;Sarah E. Medland;Derrek P. Hibar

  • Identification of common variants associated with human hippocampal and intracranial volumes

    Jason L Stein;Sarah E Medland;Sarah E Medland;Alejandro Arias Vasquez;Alejandro Arias Vasquez;Derrek P Hibar

  • Altered bile acid profile associates with cognitive impairment in Alzheimer's disease-An emerging role for gut microbiome.

    Siamak MahmoudianDehkordi;Matthias Arnold;Kwangsik Nho;Shahzad Ahmad

  • Baseline MRI predictors of conversion from MCI to probable AD in the ADNI cohort.

    Shannon L. Risacher;Andrew J. Saykin;John D. Wes;Li Shen

  • Subjective Cognitive Decline in Older Adults: An Overview of Self-Report Measures Used Across 19 International Research Studies

    Laura A. Rabin;Laura A. Rabin;Laura A. Rabin;Colette M. Smart;Paul K. Crane;Rebecca E. Amariglio

  • Alzheimer's Disease Neuroimaging Initiative biomarkers as quantitative phenotypes: Genetics core aims, progress, and plans.

    Andrew J. Saykin;Li Shen;Tatiana M. Foroud;Steven G. Potkin

  • Metabolic network failures in Alzheimer's disease: A biochemical road map

    Jon B. Toledo;Jon B. Toledo;Matthias Arnold;Gabi Kastenmüller;Rui Chang

  • Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort

    Li Shen;Sungeun Kim;Shannon L. Risacher;Kwangsik Nho

  • Novel genetic loci associated with hippocampal volume

    Derrek Hibar;Hieab H.H. Adams;Neda Jahanshad;Ganesh Chauhan

  • Longitudinal MRI atrophy biomarkers: Relationship to conversion in the ADNI cohort

    Shannon L. Risacher;Li Shen;John D. West;Sungeun Kim

  • Genetic architecture of subcortical brain structures in 38,851 individuals

    Claudia L. Satizabal;Claudia L. Satizabal;Claudia L. Satizabal;Hieab H.H. Adams;Derrek Hibar;Charles C. White;Charles C. White

  • Novel genetic loci underlying human intracranial volume identified through genome-wide association

    Hieab H H Adams;Derrek P. Hibar;Vincent Chouraki;Vincent Chouraki;Vincent Chouraki;Jason L. Stein;Jason L. Stein

  • Genome-wide association study of CSF biomarkers Aβ1-42, t-tau, and p-tau181p in the ADNI cohort

    S. Kim;S. Kim;S. Swaminathan;Li Shen;Li Shen;S. L. Risacher

  • APOE and BCHE as modulators of cerebral amyloid deposition: a florbetapir PET genome-wide association study.

    Vijay K. Ramanan;Shannon L. Risacher;Kwangsik Nho;Sungeun Kim

  • Association of Altered Liver Enzymes With Alzheimer Disease Diagnosis, Cognition, Neuroimaging Measures, and Cerebrospinal Fluid Biomarkers.

    Kwangsik Nho;Alexandra Kueider-Paisley;Shahzad Ahmad;Siamak MahmoudianDehkordi

  • Altered default mode network connectivity in older adults with cognitive complaints and amnestic mild cognitive impairment.

    Yang Wang;Shannon L Risacher;John D West;Brenna C McDonald

  • Genetic Analysis of Quantitative Phenotypes in AD and MCI: Imaging, Cognition and Biomarkers

    Li Shen;Paul M. Thompson;Steven G. Potkin;Lars Bertram

  • Multi-modal Neuroimaging Feature Selection with Consistent Metric Constraint for Diagnosis of Alzheimer’s Disease

    Xiaoke Hao;Yongjin Bao;Yingchun Guo;Ming Yu

  • Association Between Anticholinergic Medication Use and Cognition, Brain Metabolism, and Brain Atrophy in Cognitively Normal Older Adults

    Shannon Leigh Risacher;Brenna C. McDonald;Eileen F. Tallman;John D. West

  • Genetic studies of quantitative MCI and AD phenotypes in ADNI: Progress, opportunities, and plans

    Andrew J. Saykin;Li Shen;Xiaohui Yao;Sungeun Kim

Frequent Co-Authors

Andrew J. Saykin
Andrew J. Saykin Indiana University
Li Shen
Li Shen University of Pennsylvania
Kwangsik Nho
Kwangsik Nho Indiana University
Liana G. Apostolova
Liana G. Apostolova Indiana University
Tatiana Foroud
Tatiana Foroud Indiana University
Martin R. Farlow
Martin R. Farlow Indiana University
Michael W. Weiner
Michael W. Weiner University of California, San Francisco
John Q. Trojanowski
John Q. Trojanowski University of Pennsylvania
Robert C. Green
Robert C. Green Brigham and Women's Hospital
Paul S. Aisen
Paul S. Aisen University of Southern California

External Links

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Related Online Degrees & Career Pathways

Neuroscience is a multidisciplinary field, and students interested in online education have a variety of related pathways to consider. If your goals lean toward clinical practice or counseling, you may want to explore psyd psychology online programs. These degrees offer specialized training for those seeking licensure as clinical psychologists.

For those focused on therapy and mental health, online mft programs provide a fast track into marriage and family therapy, often allowing students to complete their studies efficiently while balancing other responsibilities.

Students looking to start their neuroscience journey quickly might consider accelerated bachelors degrees. These flexible programs can reduce the time to graduation and open doors to advanced studies or entry-level positions in brain science, psychology, and healthcare.

When selecting a pathway, it’s smart to also consider the potential return on your investment. Learn more about fields that combine your academic interests with future potential by reviewing the highest earning degrees and their respective career outcomes.

Best Scientists Citing Shannon L. Risacher

Paul M. Thompson

Paul M. Thompson

University of Southern California

Publications: 270

Andrew J. Saykin

Andrew J. Saykin

Indiana University

Publications: 180

Neda Jahanshad

Neda Jahanshad

University of Southern California

Publications: 154

Ole A. Andreassen

Ole A. Andreassen

Oslo University Hospital

Publications: 123

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 105

Lars T. Westlye

Lars T. Westlye

University of Oslo

Publications: 88

Margaret J. Wright

Margaret J. Wright

University of Queensland

Publications: 87

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 85

Simon E. Fisher

Simon E. Fisher

Max Planck Society

Publications: 83

Anders M. Dale

Anders M. Dale

J. Craig Venter Institute

Publications: 82

Li Shen

Li Shen

University of Pennsylvania

Publications: 76

Derrek P. Hibar

Derrek P. Hibar

Genentech

Publications: 74

Nicholas G. Martin

Nicholas G. Martin

QIMR Berghofer Medical Research Institute

Publications: 73

David C. Glahn

David C. Glahn

Boston Children's Hospital

Publications: 69

Kwangsik Nho

Kwangsik Nho

Indiana University

Publications: 66

Arthur W. Toga

Arthur W. Toga

University of Southern California

Publications: 64

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