World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
33
Citations
9961
World Ranking
9391
National Ranking
788

Jan Gläscher 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 Jan Gläscher 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: 71 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

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

Jan Gläscher 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 Jan Gläscher 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: 33 D-Index — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Overview

Jan Gläscher is affiliated with Universität Hamburg in Germany and focuses predominantly on the field of Neuroscience, where they have contributed to 27 publications. Their research ventures deeply into Cognitive Neuroscience, Artificial Intelligence, and Statistical and Nonlinear Physics, among other subfields. This interdisciplinary scope expands also into Social Psychology and Safety Research.

Their main topics of investigation are diverse and include Neural and Behavioral Psychology Studies, Neural dynamics and brain function, Neural Networks and Applications, and Functional Brain Connectivity Studies. Further areas of interest encompass Opinion Dynamics and Social Influence, the Psychology of Moral and Emotional Judgment, and Experimental Behavioral Economics Studies.

Jan Gläscher's publication record includes a number of recent papers with multiple coauthors. Notable papers include:

  • Using reinforcement learning models in social neuroscience: frameworks, pitfalls and suggestions of best practices (2020), published in Social Cognitive and Affective Neuroscience
  • A brain network supporting social influences in human decision-making (2020), published in Science Advances
  • Theory of mind and decision science: Towards a typology of tasks and computational models (2020), published in Neuropsychologia
  • Strategies for navigating a dynamic world (2020), published in Science
  • Stress reduces both model-based and model-free neural computations during flexible learning (2021), published in NeuroImage

The scientist has collaborated frequently with a network of coauthors including Tatia Buidze, Ke Zhao, Xiaolan Fu, Lei Zhang, and Léon Möhring. These collaborations have resulted in multiple joint publications.

Their work has been published in a range of venues, with recurrent contributions to bioRxiv (Cold Spring Harbor Laboratory), Cell Reports, iScience, SSRN Electronic Journal, and Social Cognitive and Affective Neuroscience. This variety of publication venues reflects the interdisciplinary nature of their research.

Best Publications

  • States versus Rewards: Dissociable Neural Prediction Error Signals Underlying Model-Based and Model-Free Reinforcement Learning

    Jan Gläscher;Nathaniel Douglass Daw;Peter Dayan;John P. O'Doherty;John P. O'Doherty

  • Oxytocin Attenuates Amygdala Responses to Emotional Faces Regardless of Valence

    Gregor Domes;Markus Heinrichs;Jan Gläscher;Christian Büchel

  • Pathological gambling is linked to reduced activation of the mesolimbic reward system

    Jan Reuter;Thomas Raedler;Michael Rose;Iver Hand

  • Dissociable Systems for Gain- and Loss-Related Value Predictions and Errors of Prediction in the Human Brain

    Juliana Yacubian;Jan Gläscher;Katrin Schroeder;Tobias Sommer

  • Processing of the arousal of subliminal and supraliminal emotional stimuli by the human amygdala.

    Jan Gläscher;Ralph Adolphs

  • Lesion mapping of cognitive control and value-based decision making in the prefrontal cortex

    Jan Gläscher;Ralph Adolphs;Hanna Damasio;Antoine Bechara;Antoine Bechara

  • Personal space regulation by the human amygdala

    Daniel P Kennedy;Jan Gläscher;J Michael Tyszka;Ralph Adolphs

  • Determining a Role for Ventromedial Prefrontal Cortex in Encoding Action-Based Value Signals During Reward-Related Decision Making

    Jan Gläscher;Alan N. Hampton;John P. O'Doherty

  • Distributed neural system for general intelligence revealed by lesion mapping

    J. Gläscher;D. Rudrauf;R. Colom;L. K. Paul

  • Visualization of Group Inference Data in Functional Neuroimaging

    Jan Gläscher

  • Gene–gene interaction associated with neural reward sensitivity

    Juliana Yacubian;Tobias Sommer;Katrin Schroeder;Jan Gläscher

  • Lesion Mapping of Cognitive Abilities Linked to Intelligence

    Jan Gläscher;Daniel Tranel;Lynn K. Paul;David Rudrauf

  • Somatotopic organization of human somatosensory cortices for pain: a single trial fMRI study.

    U. Bingel;J. Lorenz;Volkmar Glauche;René Knab

  • Using reinforcement learning models in social neuroscience: frameworks, pitfalls and suggestions of best practices.

    Lei Zhang;Lukas Lengersdorff;Nace Mikus;Jan Gläscher

  • Somatotopic Representation of Nociceptive Information in the Putamen: An Event-related fMRI Study

    U. Bingel;J. Gläscher;C. Weiller;C. Büchel

  • fMRI Reveals How Pain Modulates Visual Object Processing in the Ventral Visual Stream

    Ulrike Bingel;Michael Rose;Jan Gläscher;Christian Büchel

  • Dissociable contributions within the medial temporal lobe to encoding of object-location associations

    Tobias Sommer;Michael Rose;Jan Gläscher;Thomas Wolbers

  • Neural correlates of memory confidence.

    Steffen Moritz;Jan Gläscher;Tobias Sommer;Christian Büchel

  • A brain network supporting social influences in human decision-making.

    Lei Zhang;Lei Zhang;Jan Gläscher

  • Model-based approaches to neuroimaging: combining reinforcement learning theory with fMRI data

    Jan P. Gläscher;John P. O'Doherty;John P. O'Doherty

Frequent Co-Authors

Christian Büchel
Christian Büchel University Medical Center Hamburg-Eppendorf
Tobias Sommer
Tobias Sommer Universität Hamburg
Ralph Adolphs
Ralph Adolphs California Institute of Technology
Daniel Tranel
Daniel Tranel University of Iowa
John P. O'Doherty
John P. O'Doherty California Institute of Technology
Dieter F. Braus
Dieter F. Braus Universität Hamburg
Hanna Damasio
Hanna Damasio University of Southern California
David Rudrauf
David Rudrauf University of Geneva
Klaus Obermayer
Klaus Obermayer Technical University of Berlin
Steffen Moritz
Steffen Moritz University Medical Center Hamburg-Eppendorf

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