World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
58
Citations
20426
World Ranking
4089
National Ranking
1859

Paul J. Laurienti 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 Paul J. Laurienti 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: 236 publications — 71st percentile

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

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

Paul J. Laurienti 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 Paul J. Laurienti 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: 58 D-Index — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Overview

Paul J. Laurienti is affiliated with Wake Forest University in the United States. Their research spans multiple fields with a primary focus on neuroscience and medicine, with a significant number of publications in cognitive neuroscience and related subfields.

The main fields of study for Laurienti include:

  • Neuroscience
  • Medicine

Within these fields, the following subfields of study are prominently represented in their work:

  • Cognitive Neuroscience
  • Experimental and Cognitive Psychology
  • Radiology, Nuclear Medicine and Imaging
  • Clinical Psychology
  • Cardiology and Cardiovascular Medicine

The recurring main topics in Laurienti's research are detailed as follows:

  • Functional Brain Connectivity Studies
  • Mental Health Research Topics
  • Advanced Neuroimaging Techniques and Applications
  • Neural dynamics and brain function
  • Heart Rate Variability and Autonomic Control
  • EEG and Brain-Computer Interfaces
  • Pesticide Exposure and Toxicity

Laurienti has contributed to several recent research papers, including:

  • COVID-19 Pandemic among Latinx Farmworker and Nonfarmworker Families in North Carolina: Knowledge, Risk Perceptions, and Preventive Behaviors, 2020, published in International Journal of Environmental Research and Public Health
  • COVID-19 Pandemic Among Immigrant Latinx Farmworker and Non-farmworker Families: A Rural-Urban Comparison of Economic, Educational, Healthcare, and Immigration Concerns, 2021, published in NEW SOLUTIONS A Journal of Environmental and Occupational Health Policy
  • Pesticide exposure among Latinx children: Comparison of children in rural, farmworker and urban, non-farmworker communities, 2020, published in The Science of The Total Environment
  • Learning Common Harmonic Waves on Stiefel Manifold - A New Mathematical Approach for Brain Network Analyses, 2020, published in IEEE Transactions on Medical Imaging
  • Improvisational Movement to Improve Quality of Life in Older Adults With Early-Stage Dementia: A Pilot Study, 2022, published in Frontiers in Sports and Active Living

Laurienti frequently collaborates with a group of researchers, including:

  • Robert G. Lyday
  • Sean L. Simpson
  • Jonathan H. Burdette
  • Stephen B. Kritchevsky
  • Christina E. Hugenschmidt

Their work is often published in the following venues:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • UNC Libraries
  • Brain Sciences
  • arXiv (Cornell University)
  • Network Neuroscience

Best Publications

  • An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets

    Joseph A. Maldjian;Paul J. Laurienti;Robert A. Kraft;Jonathan H. Burdette

  • Precentral gyrus discrepancy in electronic versions of the Talairach atlas.

    Joseph A Maldjian;Paul J Laurienti;Jonathan H Burdette

  • The subjective experience of pain: Where expectations become reality

    Tetsuo Koyama;John G. McHaffie;Paul J. Laurienti;Robert C. Coghill

  • The ubiquity of small-world networks.

    Qawi K. Telesford;Karen E. Joyce;Satoru Hayasaka;Jonathan H. Burdette

  • Enhanced multisensory integration in older adults

    Paul J. Laurienti;Jonathan H. Burdette;Joseph A. Maldjian;Mark T. Wallace

  • Deactivation of Sensory-Specific Cortex by Cross-Modal Stimuli

    Paul J. Laurienti;Jonathan H. Burdette;Mark T. Wallace;Yi-Fen Yen

  • Comparison of Characteristics between Region- and Voxel-Based Network Analyses in Resting-State fMRI Data

    Satoru Hayasaka;Paul J. Laurienti

  • Using network science to evaluate exercise-associated brain changes in older adults

    Jonathan H Burdette;Paul J Laurienti;Mark A Espeland;Ashley R Morgan

  • Semantic congruence is a critical factor in multisensory behavioral performance

    Paul J. Laurienti;Robert A. Kraft;Joseph A. Maldjian;Jonathan H. Burdette

  • A New Measure of Centrality for Brain Networks

    Karen E. Joyce;Paul J. Laurienti;Jonathan H. Burdette;Satoru Hayasaka

  • Biological parametric mapping: A statistical toolbox for multimodality brain image analysis

    Ramon Casanova;Ryali Srikanth;Aaron H. Baer;Paul J. Laurienti

  • The brain as a complex system: using network science as a tool for understanding the brain.

    Qawi K. Telesford;Sean L. Simpson;Jonathan H. Burdette;Satoru Hayasaka

  • Long-term heavy marijuana users make costly decisions on a gambling task

    Christopher T. Whitlow;Anthony Liguori;L. Brooke Livengood;Stephanie L. Hart

  • Acute effect of a high nitrate diet on brain perfusion in older adults

    Tennille D. Presley;Ashley R. Morgan;Erika Bechtold;William Clodfelter

  • Age-related multisensory enhancement in a simple audiovisual detection task

    Ann M. Peiffer;Jennifer L. Mozolic;Christina E. Hugenschmidt;Paul J. Laurienti

  • Defining nodes in complex brain networks.

    Matthew Lawrence Stanley;Malaak Nasser Moussa;Brielle Paolini;Robert Gray Lyday

  • The Effect of Daily Caffeine Use on Cerebral Blood Flow: How Much Caffeine Can We Tolerate?

    Merideth A. Addicott;Lucie L. Yang;Ann M. Peiffer;Luke R. Burnett

  • On the use of superadditivity as a metric for characterizing multisensory integration in functional neuroimaging studies.

    Paul J. Laurienti;Thomas J. Perrault;Terrence R. Stanford;Mark T. Wallace

  • Relating Imaging Indices of White Matter Integrity and Volume in Healthy Older Adults

    Christina E. Hugenschmidt;Ann M. Peiffer;Robert A. Kraft;Ramon Casanova

  • Consistency of Network Modules in Resting-State fMRI Connectome Data

    Malaak N. Moussa;Matthew R. Steen;Paul J. Laurienti;Satoru Hayasaka

Frequent Co-Authors

Joseph A. Maldjian
Joseph A. Maldjian The University of Texas Southwestern Medical Center
Thomas A. Arcury
Thomas A. Arcury Wake Forest University
W. Jack Rejeski
W. Jack Rejeski Wake Forest University
Sara A. Quandt
Sara A. Quandt Wake Forest University
Guorong Wu
Guorong Wu University of North Carolina at Chapel Hill
Mark T. Wallace
Mark T. Wallace Vanderbilt University
Kirk I. Erickson
Kirk I. Erickson University of Pittsburgh
Barry E. Stein
Barry E. Stein Wake Forest University
Timothy D. Howard
Timothy D. Howard Wake Forest University
Linda J. Porrino
Linda J. Porrino Wake Forest University

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