World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
45
Citations
10066
World Ranking
6848
National Ranking
2958

Benson Mwangi 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 Benson Mwangi 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: 140 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Benson Mwangi 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 Benson Mwangi 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: 45 D-Index — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Overview

Benson Mwangi is affiliated with The University of Texas Health Science Center at Houston in the United States. Their research primarily spans the fields of Medicine and Neuroscience, with a significant focus on subfields including Cognitive Neuroscience, Psychiatry and Mental Health, Experimental and Cognitive Psychology, Radiology, Nuclear Medicine and Imaging, and Clinical Psychology.

The scientist's work has contributed to various topics, notably:

  • Functional Brain Connectivity Studies
  • Bipolar Disorder and Treatment
  • Advanced Neuroimaging Techniques and Applications
  • Health, Environment, Cognitive Aging
  • Tryptophan and Brain Disorders
  • Mental Health Research Topics
  • Suicide and Self-Harm Studies

Mwangi's frequent publication venues include:

  • Molecular Psychiatry
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Biological Psychiatry
  • Journal of Affective Disorders
  • Human Brain Mapping

The scientist has collaborated extensively with multiple coauthors, among them:

  • Jair C. Soares
  • Dominik Grotegerd
  • Paul M. Thompson
  • Tilo Kircher
  • Udo Dannlowski

Selected recent publications include:

  • Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group, 2020, Molecular Psychiatry
  • Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders, 2020, Molecular Psychiatry
  • Brain Structure in Acutely Underweight and Partially Weight-Restored Individuals With Anorexia Nervosa: A Coordinated Analysis by the ENIGMA Eating Disorders Working Group, 2022, Biological Psychiatry
  • <scp>Mega-analysis</scp> methods in <scp>ENIGMA</scp>: The experience of the generalized anxiety disorder working group, 2020, Human Brain Mapping
  • Cortical and subcortical brain structure in generalized anxiety disorder: findings from 28 research sites in the ENIGMA-Anxiety Working Group, 2021, Translational Psychiatry

Best Publications

  • Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group.

    L Schmaal;D P Hibar;P G Sämann;G B Hall

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

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

  • 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

  • A Review of Feature Reduction Techniques in Neuroimaging

    Benson Mwangi;Tian Siva Tian;Jair C. Soares

  • Subcortical volumetric abnormalities in bipolar disorder

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

  • Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group

    Laura K.M. Han;Richard Dinga;Richard Dinga;Tim Hahn;Christopher R.K. Ching

  • Virtual Histology of Cortical Thickness and Shared Neurobiology in 6 Psychiatric Disorders

    Yash Patel;Nadine Parker;Jean Shin;Derek Howard

  • Human subcortical brain asymmetries in 15,847 people worldwide reveal effects of age and sex

    Tulio Guadalupe;Samuel R. Mathias;Theo G.M. vanErp;Christopher D. Whelan;Christopher D. Whelan

  • Multi-centre diagnostic classification of individual structural neuroimaging scans from patients with major depressive disorder.

    Benson Mwangi;Klaus P. Ebmeier;Keith Matthews;J. Douglas Steele

  • Areas of controversy in neuroprogression in bipolar disorder.

    I. C. Passos;B. Mwangi;E. Vieta;M. Berk;M. Berk

  • The insular cortex and the neuroanatomy of major depression

    Reiner Sprengelmeyer;J. Douglas Steele;Benson Mwangi;Poornima Kumar

  • The impact of machine learning techniques in the study of bipolar disorder: A systematic review.

    Diego Librenza-Garcia;Bruno Jaskulski Kotzian;Jessica Yang;Benson Mwangi

  • Hippocampal subfield volumes in mood disorders

    Cao B;Passos Ic;Mwangi B;Amaral-Silva H

  • Identifying a clinical signature of suicidality among patients with mood disorders: A pilot study using a machine learning approach

    Ives Cavalcante Passos;Benson Mwangi;Bo Cao;Jane E. Hamilton

  • Using structural MRI to identify bipolar disorders – 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group

    Abraham Nunes;Hugo G. Schnack;Christopher R.K. Ching;Christopher R.K. Ching;Ingrid Agartz

  • Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders : Evidence through univariate and multivariate mega-analysis including 6420 participants from the ENIGMA MDD working group.

    Nils Opel;Anbupalam Thalamuthu;Anbupalam Thalamuthu;Yuri Milaneschi;Dominik Grotegerd

  • Lifespan Gyrification Trajectories of Human Brain in Healthy Individuals and Patients with Major Psychiatric Disorders.

    Bo Cao;Benson Mwangi;Ives Cavalcante Passos;Mon-Ju Wu

  • Big data analytics and machine learning: 2015 and beyond.

    Ives Cavalcante Passos;Benson Mwangi;Flávio Kapczinski

  • Prediction of individual subject's age across the human lifespan using diffusion tensor imaging: A machine learning approach

    Benson Mwangi;Khader M. Hasan;Jair C. Soares

  • Brainstem abnormalities in attention deficit hyperactivity disorder support high accuracy individual diagnostic classification.

    Blair A. Johnston;Benson Mwangi;Keith Matthews;David Coghill

  • Neuroprogression and illness trajectories in bipolar disorder

    Natália S Kapczinski;Benson Mwangi;Ryan M Cassidy;Diego Librenza-Garcia

Frequent Co-Authors

Jair C. Soares
Jair C. Soares The University of Texas Health Science Center at Houston
Flávio Kapczinski
Flávio Kapczinski McMaster University
Paul M. Thompson
Paul M. Thompson University of Southern California
Bernhard T. Baune
Bernhard T. Baune University of Münster
Neda Jahanshad
Neda Jahanshad University of Southern California
Thomas Frodl
Thomas Frodl Otto-von-Guericke University Magdeburg
Ole A. Andreassen
Ole A. Andreassen Oslo University Hospital
Udo Dannlowski
Udo Dannlowski University of Münster
David C. Glahn
David C. Glahn Boston Children's Hospital
Janice M. Fullerton
Janice M. Fullerton University of New South Wales

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