World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
47
Citations
10338
World Ranking
6364
National Ranking
34

Dae-Shik Kim 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 Dae-Shik Kim 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: 198 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Dae-Shik Kim 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 Dae-Shik Kim 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: 47 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Overview

Dae-Shik Kim is a researcher affiliated with the Korea Advanced Institute of Science and Technology in South Korea. Their research primarily spans the fields of biochemistry, genetics and molecular biology, and immunology and microbiology. The scientist's work includes significant contributions to immunology, molecular biology, organic chemistry, cancer research, and surgery.

The scientist's research topics focus on the following areas:

  • Interferon and immune responses
  • Immune cells in cancer
  • Bladder and urothelial cancer treatments
  • Chemical synthesis and analysis
  • NF-κB signaling pathways
  • Immune response and inflammation
  • Hermeneutics and narrative identity

Frequent publication venues for Dae-Shik Kim include:

  • ChemMedChem
  • Molecular Cancer Therapeutics
  • PubMed
  • Cancer Research
  • Molecular Therapy - Nucleic Acids

Some recent papers by the scientist are:

  • E7766, a Macrocycle-Bridged Stimulator of Interferon Genes (STING) Agonist with Potent Pan-Genotypic Activity, 2021, ChemMedChem
  • Pharmacologic Activation of STING in the Bladder Induces Potent Antitumor Immunity in Non-Muscle Invasive Murine Bladder Cancer, 2022, Molecular Cancer Therapeutics
  • Pharmacologic Activation of STING in the Bladder Induces Potent Antitumor Immunity in Non-Muscle Invasive Murine Bladder Cancer., 2022, PubMed
  • Abstract 592: Demonstration of E7766, a novel STING agonist, as a potent immunotherapy in BCG-insensitive non-muscle invasive bladder cancer models via intravesical administration, 2020, Cancer Research
  • Synthesis of BACE1 Inhibitors <b>E2609</b>/<b>E2071</b> via Oxime-Olefin Cycloaddition Following a Process Risk Mitigation Strategy, 2021, Organic Process Research & Development

Dae-Shik Kim's collaborative work includes frequent coauthors such as:

  • Francis G. Fang
  • Kuan-Chun Huang
  • Xingfeng Bao
  • Hyeong-Wook Choi
  • Janna Hutz

Best Publications

  • Investigating directed cortical interactions in time-resolved fMRI data using vector autoregressive modeling and Granger causality mapping.

    Rainer Goebel;Alard Roebroeck;Dae-Shik Kim;Elia Formisano

  • Global and local fMRI signals driven by neurons defined optogenetically by type and wiring

    Jin Hyung Lee;Remy Durand;Viviana Gradinaru;Feng Zhang

  • Diffusion tensor fiber tracking shows distinct corticostriatal circuits in humans.

    Stéphane Lehéricy;Mathieu Ducros;Mathieu Ducros;Pierre François Van De Moortele;Pierre François Van De Moortele;Chantal Francois;Chantal Francois

  • Mirror-symmetric tonotopic maps in human primary auditory cortex

    Elia Formisano;Dae Shik Kim;Francesco Di Salle;Pierre Francois van de Moortele

  • High-resolution mapping of iso-orientation columns by fMRI

    Dae Shik Kim;Timothy Q. Duong;Seong Gi Kim

  • Origin of negative blood oxygenation level-dependent fMRI signals.

    Noam Harel;Sang Pil Lee;Tsukasa Nagaoka;Dae Shik Kim

  • Localized cerebral blood flow response at submillimeter columnar resolution

    Timothy Q. Duong;Dae-Shik Kim;Kâmil Uğurbil;Seong-Gi Kim

  • 3-D diffusion tensor axonal tracking shows distinct SMA and pre-SMA projections to the human striatum.

    Stéphane Lehéricy;Mathieu Ducros;Alexandre Krainik;Chantal Francois

  • Motor control in basal ganglia circuits using fMRI and brain atlas approaches

    Stéphane Lehéricy;Eric Bardinet;Leon Tremblay;Pierre Francois Van De Moortele

  • How accurate is magnetic resonance imaging of brain function

    Kamil Ugurbil;Louis Toth;Dae Shik Kim

  • Subthreshold facilitation and suppression in primary visual cortex revealed by intrinsic signal imaging.

    LJ Toth;SC Rao;Dae-Shik Kim;D Somers

  • A local circuit approach to understanding integration of long-range inputs in primary visual cortex.

    David C. Somers;Emanuel V. Todorov;Athanassios G. Siapas;Louis J. Toth

  • Spatiotemporal dynamics of the BOLD fMRI signals: toward mapping submillimeter cortical columns using the early negative response.

    Timothy Q. Duong;Dae Shik Kim;Kamil Ugurbil;Seong Gi Kim

  • OPTICAL IMAGING OF THE LAYOUT OF FUNCTIONAL DOMAINS IN AREA-17 AND ACROSS THE AREA-17/18 BORDER IN CAT VISUAL-CORTEX

    Tobias Bonhoeffer;Dae-Shik Kim;Dae-Shik Kim;Dov Malonek;Doron Shoham

  • Motor outcome according to the integrity of the corticospinal tract determined by diffusion tensor tractography in the early stage of corona radiata infarct.

    Sang-Hyun Cho;Dong Gyu Kim;Dae-Shik Kim;Yun-Hee Kim

  • Functional Specificity of Long-Range Intrinsic and Interhemispheric Connections in the Visual Cortex of Strabismic Cats

    Kerstin E. Schmidt;Dae-Shik Kim;Wolf Singer;Tobias Bonhoeffer

  • Spatial relationship between neuronal activity and BOLD functional MRI.

    Dae Shik Kim;Itamar Ronen;Itamar Ronen;Cheryl A Olman;Seong Gi Kim;Seong Gi Kim

  • Relationship between lateral inhibitory connections and the topography of the orientation map in cat visual cortex

    Zoltán F. Kisvárday;Dae‐Shik ‐S Kim;Ulf T. Eysel;Tobias Bonhoeffer

  • Brain‐derived Neurotrophic Factor Reverses Experience‐dependent Synaptic Modifications in Kitten Visual Cortex

    Ralf A. W. Galuske;Dae-Shik Kim;Dae-Shik Kim;Eero Castrén;Hans Thoenen

  • Reverse occlusion leads to a precise restoration of orientation preference maps in visual cortex

    Dae-Shik Kim;Tobias Bonhoeffer

Frequent Co-Authors

Kamil Ugurbil
Kamil Ugurbil University of Minnesota
Rainer Goebel
Rainer Goebel Maastricht University
Yun-Hee Kim
Yun-Hee Kim Sungkyunkwan University
Seong-Gi Kim
Seong-Gi Kim Sungkyunkwan University
Tobias Bonhoeffer
Tobias Bonhoeffer Max Planck Society
Wolf Singer
Wolf Singer Ernst Strüngmann Institute for Neuroscience
Elia Formisano
Elia Formisano Maastricht University
Robert Leeb
Robert Leeb MindMaze
José del R. Millán
José del R. Millán The University of Texas at Austin
Pierre-Francois Van de Moortele
Pierre-Francois Van de Moortele University of Minnesota

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