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Ulrich Schall

D-Index & Metrics

Neuroscience

D-Index
62
Citations
34361
World Ranking
3455
National Ranking
93

Ulrich Schall 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 Ulrich Schall 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: 250 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Ulrich Schall 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 Ulrich Schall 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: 62 D-Index — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Overview

Ulrich Schall is affiliated with the University of Newcastle Australia. Their research primarily spans the fields of Medicine and Neuroscience, with a strong focus on Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. Additional subfields include Psychiatry and Mental Health, Experimental and Cognitive Psychology, and Molecular Biology.

Their work covers several main topics, notably:

  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Schizophrenia Research and Treatment
  • Mental Health Research Topics
  • Advanced MRI Techniques and Applications
  • Hemispheric Asymmetry in Neuroscience
  • Neuroscience and Music Perception

Among their recent publications are:

  • "Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMA" (2020) published in NeuroImage
  • "Association of Structural Magnetic Resonance Imaging Measures With Psychosis Onset in Individuals at Clinical High Risk for Developing Psychosis" (2021) published in JAMA Psychiatry
  • "Brain ageing in schizophrenia: evidence from 26 international cohorts via the ENIGMA Schizophrenia consortium" (2022) published in Molecular Psychiatry
  • "Large-scale analysis of structural brain asymmetries in schizophrenia via the ENIGMA consortium" (2023) published in Proceedings of the National Academy of Sciences
  • "The Relationship Between White Matter Microstructure and General Cognitive Ability in Patients With Schizophrenia and Healthy Participants in the ENIGMA Consortium" (2020) published in American Journal of Psychiatry

Ulrich Schall frequently collaborates with several researchers, including:

  • Paul E. Rasser
  • Christos Pantelis
  • Melissa J. Green
  • Vaughan J. Carr
  • Yann Quidé

Their publications are often found in key scientific venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Molecular Psychiatry
  • Biological Psychiatry
  • JAMA Psychiatry
  • American Journal of Psychiatry

Best Publications

  • Biological insights from 108 schizophrenia-associated genetic loci

    Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Aiden Corvin;James T. R. Walters

  • Genome-wide association study identifies five new schizophrenia loci

    Stephan Ripke;Alan R. Sanders;Kenneth S. Kendler;Douglas F. Levinson

  • Analysis of shared heritability in common disorders of the brain

    Verneri Anttila;Verneri Anttila;Brendan Bulik-Sullivan;Brendan Bulik-Sullivan;Hilary K. Finucane;Raymond K. Walters;Raymond K. Walters

  • Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

    Bjarni J. Vilhjálmsson;Jian Yang;Hilary K. Finucane;Alexander Gusev

  • Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology

    Niamh Mullins;Andreas J. Forstner;Andreas J. Forstner;Andreas J. Forstner;Kevin S. O'Connell;Kevin S. O'Connell;Brandon Coombes

  • Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders

    Phil H. Lee;Verneri Anttila;Hyejung Won;Yen-Chen A. Feng

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

    Unknown

  • Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects

    Christian R Marshall;Daniel P Howrigan;Daniel P Howrigan;Daniele Merico;Bhooma Thiruvahindrapuram

  • The genetic architecture of the human cerebral cortex

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

  • Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes

    Douglas M. Ruderfer;Stephan Ripke;Stephan Ripke;Stephan Ripke;Andrew McQuillin;James Boocock

  • 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

  • Risk factors for transition to first episode psychosis among individuals with ‘at-risk mental states’

    Oliver Mason;Mike Startup;Sean Halpin;Ulrich Schall

  • Deviant matters: duration, frequency, and intensity deviants reveal different patterns of mismatch negativity reduction in early and late schizophrenia.

    Juanita Todd;Patricia T. Michie;Ulrich Schall;Frini Karayanidis

  • Duration mismatch negativity and P3a in first-episode psychosis and individuals at ultra-high risk of psychosis.

    Rebbekah J. Atkinson;Patricia T. Michie;Ulrich Schall

  • Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMA.

    Joaquim Radua;Eduard Vieta;Russell Shinohara;Peter Kochunov

  • Functional MRI of facial emotion recognition deficits in schizophrenia and their electrophysiological correlates

    Patrick J. Johnston;Wendy Stojanov;Holly Devir;Ulrich Schall

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

    Yash Patel;Nadine Parker;Jean Shin;Derek Howard

  • Gray Matter Deficits, Mismatch Negativity, and Outcomes in Schizophrenia

    Paul Rasser;Ulrich Schall;Juanita Todd;Patricia Michie

  • Genetic correlation between amyotrophic lateral sclerosis and schizophrenia

    Russell L. McLaughlin;Dick Schijven;Wouter van Rheenen;Kristel R. van Eijk

  • Mismatch Negativity: Translating the Potential

    Juanita Todd;Lauren Harms;Ulrich Schall;Patricia T. Michie

  • Functional brain maps of Tower of London performance: a positron emission tomography and functional magnetic resonance imaging study.

    Ulrich Schall;Patrick J. Johnston;Jim Lagopoulos;Markus Jüptner

  • Functional neuroanatomy of auditory mismatch processing: an event-related fMRI study of duration-deviant oddballs

    Ulrich Schall;Patrick J. Johnston;Juanita Todd;Philip B. Ward

Frequent Co-Authors

Patricia T. Michie
Patricia T. Michie University of Newcastle Australia
Vaughan J. Carr
Vaughan J. Carr University of New South Wales
Rodney J. Scott
Rodney J. Scott University of Newcastle Australia
Christos Pantelis
Christos Pantelis University of Melbourne
Philip B. Ward
Philip B. Ward University of New South Wales
Carmel M. Loughland
Carmel M. Loughland University of Newcastle Australia
Bryan J. Mowry
Bryan J. Mowry University of Queensland
Juanita Todd
Juanita Todd University of Newcastle Australia
Assen Jablensky
Assen Jablensky University of Western Australia
Stanley V. Catts
Stanley V. Catts University of Queensland

External Links

Personal website of Ulrich Schall Google Scholar page

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Related Online Degrees & Career Pathways

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If you are drawn to counseling, it’s worth exploring cacrep schools for accredited counseling programs that meet professional standards. Those seeking flexible study options should review a range of online masters counseling programs designed for working adults.

For students with an interest in family dynamics and mental health, there are several affordable online mft programs focusing on marriage and family therapy. Alternatively, you may choose to specialize in psychological research or practice by considering affordable online psychology masters options.

Each of these pathways provides unique career opportunities and offers flexible, affordable education options to complement or expand your neuroscience background.

Best Scientists Citing Ulrich Schall

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