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Lars T. Westlye

Lars T. Westlye

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Neuroscience
Norway
2026

D-Index & Metrics

Neuroscience

D-Index
105
Citations
41660
World Ranking
650
National Ranking
4

Lars T. Westlye 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 Lars T. Westlye 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: 565 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Lars T. Westlye 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 Lars T. Westlye 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: 105 D-Index — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Neuroscience in Norway Leader Award
  • 2025 - Research.com Neuroscience in Norway Leader Award
  • 2022 - Research.com Neuroscience in Norway Leader Award

Overview

Lars T. Westlye is affiliated with the University of Oslo in Norway. Their research spans multiple interconnected fields within medicine and neuroscience, with a focus on cognitive neuroscience, radiology, nuclear medicine and imaging, genetics, psychiatry, mental health, and experimental and cognitive psychology.

The scientist's recent publications demonstrate a strong emphasis on neuroimaging methodologies, brain aging, and the genetic basis of brain structure and function. Notable recent papers include:

  • White matter microstructure across the adult lifespan: A mixed longitudinal and cross-sectional study using advanced diffusion models and brain-age prediction (2020, NeuroImage)
  • Regional, circuit and network heterogeneity of brain abnormalities in psychiatric disorders (2023, Nature Neuroscience)
  • Understanding the genetic determinants of the brain with MOSTest (2020, Nature Communications)
  • Effects of urban living environments on mental health in adults (2023, Nature Medicine)
  • Mind the gap: Performance metric evaluation in brain-age prediction (2022, Human Brain Mapping)

Their research topics reflect diverse aspects of brain function and mental health, including:

  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Genetic Associations and Epidemiology
  • Advanced MRI Techniques and Applications
  • Mental Health Research Topics
  • Schizophrenia research and treatment
  • Health, Environment, Cognitive Aging

Frequent coauthors collaborating with Westlye include Ole A. Andreassen, Tobias Kaufmann, Dag Alnæs, Ingrid Agartz, and Dennis van der Meer. These collaborations underline a multidisciplinary approach incorporating genetics, neuroimaging, and psychiatry.

Westlye's work has been published regularly in key venues within their field, with multiple contributions to:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Biological Psychiatry
  • Human Brain Mapping
  • NeuroImage
  • Developmental Cognitive Neuroscience

This body of work collectively spans 482 publications primarily in medicine, with 280 focused within neuroscience. The subfields and topics indicate a broad and evolving research agenda aimed at understanding brain connectivity, psychiatric conditions, genetic factors, and environmental influences on mental health through advanced imaging and cognitive approaches.

Best Publications

  • Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium

    T. G M van Erp;D. P. Hibar;J. M. Rasmussen;D. C. Glahn

  • Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium

    Unknown

  • Brain Maturation in Adolescence and Young Adulthood: Regional Age-Related Changes in Cortical Thickness and White Matter Volume and Microstructure

    Christian K. Tamnes;Ylva Østby;Anders M. Fjell;Lars T. Westlye

  • Common genetic variants influence human subcortical brain structures.

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

  • Life-Span Changes of the Human Brain White Matter: Diffusion Tensor Imaging (DTI) and Volumetry

    Lars T. Westlye;Kristine B. Walhovd;Anders M. Dale;Anders M. Dale;Atle Bjørnerud

  • 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

  • High Consistency of Regional Cortical Thinning in Aging across Multiple Samples

    Anders M. Fjell;Lars T. Westlye;Inge Amlien;Thomas Espeseth

  • Cortical abnormalities in bipolar disorder : An MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group

    D P Hibar;L T Westlye;L T Westlye;N T Doan;N T Doan;N Jahanshad

  • 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

  • Widespread white matter microstructural differences in schizophrenia across 4322 individuals : results from the ENIGMA Schizophrenia DTI Working Group

    S. Kelly;S. Kelly;N. Jahanshad;A. Zalesky;P. Kochunov

  • Consistent neuroanatomical age-related volume differences across multiple samples.

    Kristine B. Walhovd;Lars T. Westlye;Inge Amlien;Thomas Espeseth

  • Differential Longitudinal Changes in Cortical Thickness, Surface Area and Volume across the Adult Life Span: Regions of Accelerating and Decelerating Change

    Andreas Berg Storsve;Anders Martin Fjell;Christian Krog Tamnes;Lars Tjelta Westlye

  • Heterogeneity in Subcortical Brain Development: A Structural Magnetic Resonance Imaging Study of Brain Maturation from 8 to 30 Years

    Ylva Østby;Christian K. Tamnes;Anders M. Fjell;Lars T. Westlye

  • Subcortical volumetric abnormalities in bipolar disorder

    D. P. Hibar;L. T. Westlye;L. T. Westlye;T. G. M. van Erp;J. Rasmussen

  • The Structure of the Cerebral Cortex Across Adult Life: Age-Related Patterns of Surface Area, Thickness, and Gyrification

    Larson J. Hogstrom;Lars T. Westlye;Kristine B. Walhovd;Anders M. Fjell

  • Mapping the Heterogeneous Phenotype of Schizophrenia and Bipolar Disorder Using Normative Models.

    Thomas Wolfers;Nhat Trung Doan;Tobias Kaufmann;Dag Alnæs

  • Effects of memory training on cortical thickness in the elderly

    Andreas Engvig;Anders M. Fjell;Lars T. Westlye;Torgeir Moberget

  • Critical ages in the life course of the adult brain: Nonlinear subcortical aging

    Anders Martin Fjell;Anders Martin Fjell;Lars Tjelta Westlye;Håkon Grydeland;Inge Amlien

  • A common brain network links development, aging, and vulnerability to disease

    Gwenaëlle Douaud;Adrian R. Groves;Christian K. Tamnes;Lars Tjelta Westlye

  • Loss-of-function variants in ABCA7 confer risk of Alzheimer's disease

    Stacy Steinberg;Hreinn Stefansson;Thorlakur Jonsson;Hrefna Johannsdottir

  • Erratum: Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium (Molecular Psychiatry (2015) DOI:10.1038/mp.2015.63)

    T. G.M. Van Erp;D. P. Hibar;J. M. Rasmussen;D. C. Glahn

Frequent Co-Authors

Ole A. Andreassen
Ole A. Andreassen Oslo University Hospital
Tobias Kaufmann
Tobias Kaufmann University of Oslo
Ingrid Agartz
Ingrid Agartz University of Oslo
Dag Alnæs
Dag Alnæs Oslo University Hospital
Erik G. Jönsson
Erik G. Jönsson University of Oslo
Nhat Trung Doan
Nhat Trung Doan Oslo University Hospital
Srdjan Djurovic
Srdjan Djurovic Oslo University Hospital
Torgeir Moberget
Torgeir Moberget Oslo University Hospital
Ingrid Melle
Ingrid Melle University of Oslo
Thomas Espeseth
Thomas Espeseth University of Oslo

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