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D-Index & Metrics

Neuroscience

D-Index
38
Citations
9603
World Ranking
8447
National Ranking
719

Valentin Riedl 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 Valentin Riedl 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: 76 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Valentin Riedl 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 Valentin Riedl 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: 38 D-Index — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Overview

Valentin Riedl is affiliated with the Technical University of Munich in Germany. Their research primarily focuses on the fields of Neuroscience and Medicine, with significant contributions to Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. Other subfields of study include Cellular and Molecular Neuroscience, Neurology, and Psychiatry and Mental Health.

The main topics covered in their work comprise Functional Brain Connectivity Studies, Neural Dynamics and Brain Function, Advanced MRI Techniques and Applications, and Advanced Neuroimaging Techniques and Applications. Additional areas of focus include Photoreceptor and Optogenetics Research, Transcranial Magnetic Stimulation Studies, and Neurological Disorders and Treatments.

Valentin Riedl has published extensively with several frequent coauthors including Gabriel Castrillón, Katarzyna Kurcyus, Samira Epp, Antonia Bose, and André Hechler. Their work appears often in notable scientific venues such as bioRxiv (Cold Spring Harbor Laboratory), Science Advances, Journal of Nuclear Medicine, Network Neuroscience, and Neuroscience Bulletin.

Recent publications include:

  • The physiological effects of noninvasive brain stimulation fundamentally differ across the human cortex, 2020, Science Advances
  • An energy costly architecture of neuromodulators for human brain evolution and cognition, 2023, Science Advances
  • Integrity of Neurocognitive Networks in Dementing Disorders as Measured with Simultaneous PET/Functional MRI, 2020, Journal of Nuclear Medicine
  • Joint Multi-modal Parcellation of the Human Striatum: Functions and Clinical Relevance, 2020, Neuroscience Bulletin
  • An energy costly architecture of neuromodulators for human brain evolution and cognition, 2023, bioRxiv (Cold Spring Harbor Laboratory)

Best Publications

  • Toward discovery science of human brain function

    Bharat B. Biswal;Maarten Mennes;Xi Nian Zuo;Suril Gohel

  • Selective changes of resting-state networks in individuals at risk for Alzheimer's disease

    Christian Sorg;Valentin Riedl;Valentin Riedl;Mark Mühlau;Vince D. Calhoun

  • Insular dysfunction within the salience network is associated with severity of symptoms and aberrant inter-network connectivity in major depressive disorder

    Andrei Manoliu;Chun Meng;Chun Meng;Felix Brandl;Anselm Doll

  • Aberrant dependence of default mode/central executive network interactions on anterior insular salience network activity in schizophrenia.

    Andrei Manoliu;Valentin Riedl;Andriy Zherdin;Mark Mühlau

  • Local Activity Determines Functional Connectivity in the Resting Human Brain: A Simultaneous FDG-PET/fMRI Study

    Valentin Riedl;Katarzyna Bienkowska;Carola Strobel;Masoud Tahmasian

  • Simultaneous Electroencephalographic and Functional Magnetic Resonance Imaging Indicate Impaired Cortical Top–Down Processing in Association with Anesthetic-induced Unconsciousness

    Denis Jordan;Rüdiger Ilg;Valentin Riedl;Anna Schorer

  • Aberrant topology of striatum's connectivity is associated with the number of episodes in depression.

    Chun Meng;Chun Meng;Felix Brandl;Masoud Tahmasian;Junming Shao

  • Neural Correlates of Sevoflurane-induced Unconsciousness Identified by Simultaneous Functional Magnetic Resonance Imaging and Electroencephalography.

    Andreas Ranft;Daniel Golkowski;Tobias Kiel;Valentin Riedl

  • Within-patient correspondence of amyloid-β and intrinsic network connectivity in Alzheimer's disease.

    Nicholas Myers;Nicholas Myers;Lorenzo Pasquini;Jens Göttler;Timo Grimmer

  • Increased Intrinsic Brain Activity in the Striatum Reflects Symptom Dimensions in Schizophrenia

    Christian Sorg;Andrei Manoliu;Susanne Neufang;Nicholas Myers;Nicholas Myers

  • Early morphologic and spectroscopic magnetic resonance in severe traumatic brain injuries can detect "invisible brain stem damage" and predict "vegetative states".

    Alexandre Carpentier;Damien Galanaud;Louis Puybasset;Jean-Charles Muller

  • Aberrant Intrinsic Connectivity of Hippocampus and Amygdala Overlap in the Fronto-Insular and Dorsomedial-Prefrontal Cortex in Major Depressive Disorder

    Masoud Tahmasian;David C. Knight;Andrei Manoliu;Dirk Schwerthöffer

  • Metabolic connectivity mapping reveals effective connectivity in the resting human brain

    Valentin Riedl;Lukas Utz;Gabriel Castrillón;Timo Grimmer

  • Evaluation of Multiband EPI Acquisitions for Resting State fMRI

    Christine Preibisch;Martin Bührer;Valentin Riedl

  • The lower hippocampus global connectivity, the higher its local metabolism in Alzheimer disease

    Masoud Tahmasian;Lorenzo Pasquini;Martin Scherr;Chun Meng

  • Insular Dysfunction Reflects Altered Between-Network Connectivity and Severity of Negative Symptoms in Schizophrenia during Psychotic Remission

    Andrei Manoliu;Valentin Riedl;Anselm Doll;Josef Georg Bäuml

  • How do you make me feel better? Social cognitive emotion regulation and the default mode network

    Xiyao Xie;Satja Mulej Bratec;Gabriele Schmid;Chun Meng

  • Neurobiological Divergence of the Positive and Negative Schizophrenia Subtypes Identified on a New Factor Structure of Psychopathology Using Non-negative Factorization: An International Machine Learning Study

    Pharmacotherapy Monitoring;Ji Chen;Kaustubh R. Patil;Susanne Weis

  • Disconnection of frontal and parietal areas contributes to impaired attention in very early Alzheimer's disease.

    Susanne Neufang;Atae Akhrif;Valentin Riedl;Hans Förstl

  • The physiological effects of noninvasive brain stimulation fundamentally differ across the human cortex

    Gabriel Castrillon;Nico Sollmann;Katarzyna Kurcyus;Adeel Razi

  • Disrupted Intrinsic Networks Link Amyloid-β Pathology and Impaired Cognition in Prodromal Alzheimer's Disease

    Kathrin Koch;Nicholas E. Myers;Jens Göttler;Lorenzo Pasquini

  • Link between hippocampus' raised local and eased global intrinsic connectivity in AD

    Lorenzo Pasquini;Martin Scherr;Martin Scherr;Masoud Tahmasian;Chun Meng

Frequent Co-Authors

Christian Sorg
Christian Sorg Technical University of Munich
Afra M. Wohlschläger
Afra M. Wohlschläger Technical University of Munich
Hans Förstl
Hans Förstl Technical University of Munich
Timo Grimmer
Timo Grimmer Technical University of Munich
Alexander Drzezga
Alexander Drzezga University of Cologne
Simon B. Eickhoff
Simon B. Eickhoff Heinrich Heine University Düsseldorf
Felix Hoffstaedter
Felix Hoffstaedter Forschungszentrum Jülich
Josef P. Rauschecker
Josef P. Rauschecker Georgetown University Medical Center
Oliver Gruber
Oliver Gruber Heidelberg University
Renaud Jardri
Renaud Jardri University of Lille

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