World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
32
Citations
9297
World Ranking
9486
National Ranking
4007

Itamar Kahn 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 Itamar Kahn 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: 58 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

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

Itamar Kahn 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 Itamar Kahn 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: 32 D-Index — 1st percentile

1% of scientists in this discipline score the same or lower.

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

Overview

Itamar Kahn is affiliated with the Technion - Israel Institute of Technology in Israel. Their research primarily spans the fields of Neuroscience and Medicine, with focused subfields in Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Neurology, Cellular and Molecular Neuroscience, and Epidemiology.

Their research encompasses a range of topics including:

  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Neural dynamics and brain function
  • Advanced MRI Techniques and Applications
  • Neuroscience and Neuropharmacology Research
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Neurofibromatosis and Schwannoma Cases

Among recent publications are the following papers:

  • The default network is causally linked to creative thinking, 2022, Molecular Psychiatry
  • Individual variability in functional connectivity architecture of the mouse brain, 2020, Communications Biology
  • Tremor Relief and Structural Integrity after MRI-guided Focused US Thalamotomy in Tremor Disorders, 2020, Radiology
  • Brain Connectivity Predicts Chronic Pain in Acute Mild Traumatic Brain Injury, 2022, Annals of Neurology
  • Brain-wide structural and functional disruption in mice with oligodendrocyte-specific Nf1 deletion is rescued by inhibition of nitric oxide synthase, 2020, Proceedings of the National Academy of Sciences

Itamar Kahn's frequent co-authors include:

  • Eyal Bergmann
  • Alexandra Kavushansky
  • Daniela Lichtman
  • Ben Shofty
  • Ayelet Eran

The primary venues in which Kahn publishes are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Imaging Neuroscience
  • Molecular Psychiatry
  • Communications Biology
  • Radiology

Best Publications

  • Evidence for a Frontoparietal Control System Revealed by Intrinsic Functional Connectivity

    Justin L. Vincent;Itamar Kahn;Abraham Z. Snyder;Marcus E. Raichle

  • Parietal lobe contributions to episodic memory retrieval

    Anthony D. Wagner;Benjamin J. Shannon;Itamar Kahn;Randy L. Buckner

  • Distinct Cortical Anatomy Linked to Subregions of the Medial Temporal Lobe Revealed by Intrinsic Functional Connectivity

    Itamar Kahn;Jessica R. Andrews-Hanna;Justin L. Vincent;Abraham Z. Snyder

  • Functional-neuroanatomic correlates of recollection: implications for models of recognition memory.

    Itamar Kahn;Lila Davachi;Anthony D. Wagner

  • Neural circuits subserving the retrieval and maintenance of abstract rules.

    Silvia A. Bunge;Itamar Kahn;Jonathan D. Wallis;Earl K. Miller

  • The Neural Reality of Syntactic Transformations Evidence From Functional Magnetic Resonance Imaging

    Michal Ben-Shachar;Talma Hendler;Itamar Kahn;Dafna Ben-Bashat

  • Decreased demands on cognitive control reveal the neural processing benefits of forgetting

    Brice A Kuhl;Nicole M Dudukovic;Itamar Kahn;Anthony D Wagner

  • Memory strength and repetition suppression: multimodal imaging of medial temporal cortical contributions to recognition.

    Brian D. Gonsalves;Itamar Kahn;Itamar Kahn;Tim Curran;Kenneth A. Norman

  • Mapping brain networks in awake mice using combined optical neural control and fMRI

    Mitul Desai;Itamar Kahn;Ulf Knoblich;Jacob Bernstein

  • Sensing the invisible: differential sensitivity of visual cortex and amygdala to traumatic context

    Talma Hendler;Pia Rotshtein;Yaara Yeshurun;Tal Weizmann;Tal Weizmann

  • Imbalanced Neural Responsivity to Risk and Reward Indicates Stress Vulnerability in Humans

    Roee Admon;Gad Lubin;Jonathan D. Rosenblatt;Orit Stern;Orit Stern

  • Intrinsic connectivity between the hippocampus, nucleus accumbens, and ventral tegmental area in humans

    I. Kahn;D. Shohamy

  • The role of the amygdala in signaling prospective outcome of choice.

    Itamar Kahn;Itamar Kahn;Yehezkel Yeshurun;Pia Rotshtein;Itzhak Fried;Itzhak Fried

  • Characterization of the functional MRI response temporal linearity via optical control of neocortical pyramidal neurons.

    Itamar Kahn;Mitul Desai;Ulf Knoblich;Jacob G. Bernstein

  • The Organization of Mouse and Human Cortico-Hippocampal Networks Estimated by Intrinsic Functional Connectivity

    Eyal Bergmann;Gil Zur;Guy Bershadsky;Itamar Kahn

  • Realistic Numerical and Analytical Modeling of Light Scattering in Brain Tissue for Optogenetic Applications

    Guy Yona;Nizan Meitav;Itamar Kahn;Shy Shoham

  • Cognition: An Overview of Neuroimaging Techniques

    S.A. Bunge;I. Kahn

  • Early Age-Related Functional Connectivity Decline in High-Order Cognitive Networks.

    Tali Siman-Tov;Noam Bosak;Elliot Sprecher;Elliot Sprecher;Rotem Paz

  • Transfer of Learning Relates to Intrinsic Connectivity between Hippocampus, Ventromedial Prefrontal Cortex, and Large-Scale Networks

    R. T. Gerraty;J. Y. Davidow;G. E. Wimmer;I. Kahn

  • Optogenetic drive of neocortical pyramidal neurons generates fMRI signals that are correlated with spiking activity.

    I. Kahn;U. Knoblich;M. Desai;J. Bernstein;J. Bernstein

  • Transient disruption of ventrolateral prefrontal cortex during verbal encoding affects subsequent memory performance.

    Itamar Kahn;Alvaro Pascual-Leone;Hugo Theoret;Felipe Fregni

Frequent Co-Authors

Talma Hendler
Talma Hendler Tel Aviv University
Randy L. Buckner
Randy L. Buckner Harvard University
Anthony D. Wagner
Anthony D. Wagner Stanford University
Christopher I. Moore
Christopher I. Moore Brown University
Yosef Grodzinsky
Yosef Grodzinsky Hebrew University of Jerusalem
Pia Rotshtein
Pia Rotshtein University of Birmingham
Itzhak Fried
Itzhak Fried University of California, Los Angeles
Silvia A. Bunge
Silvia A. Bunge University of California, Berkeley

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