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Neuroscience

D-Index
55
Citations
8457
World Ranking
4805
National Ranking
407

Gabriel Horn 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 Gabriel Horn 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: 142 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Gabriel Horn 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 Gabriel Horn 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: 55 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 1998 - Animal Management Award, American Society of Animal Science
  • 1965 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Gabriel Horn is a researcher affiliated with the University of Cambridge in the United Kingdom. Their work primarily spans the field of Medicine, with a concentration on Oncology and Pulmonary and Respiratory Medicine, alongside contributions to Media Technology, Building and Construction, and Computer Vision and Pattern Recognition.

The main topics of Gabriel Horn's research include:

  • Lung Cancer Treatments and Mutations
  • Vehicle License Plate Recognition
  • Smart Parking Systems Research
  • Video Surveillance and Tracking Methods
  • Cancer Genomics and Diagnostics
  • Cancer Immunotherapy and Biomarkers
  • Neuroendocrine Tumor Research Advances

Gabriel Horn has published research in several well-regarded venues. Frequent publication venues include:

  • ESMO Open
  • JECCOM International Journal of Electronics Engineering and Applied Science
  • Annals of Oncology
  • arXiv (Cornell University)

Selected recent papers authored or coauthored by Gabriel Horn include:

  • "Parking Identification System with Integration of Optical Character Recognition (OCR) and Radio Frequency Identification (RFID)", 2024, JECCOM International Journal of Electronics Engineering and Applied Science
  • "145P Identification of next generation sequencing (NGS)-based genomic signature predicting resistance to immunotherapy (IO) in patients (pts) with metastatic non-small cell lung cancer (mNSCLC): A single-center cohort study", 2023, ESMO Open
  • "1197P Somatostatin analogs or active surveillance in sporadic non-functioning pancreatic neuroendocrine tumors", 2023, Annals of Oncology
  • "234P Clinical findings and genomic characterization of NRG-1 alterations with a comprehensive genome profiling (CGP) in advanced non-small cell lung cancer (ANSCLC)", 2024, ESMO Open
  • "Generate, Transduct, Adapt: Iterative Transduction with VLMs", 2025, arXiv (Cornell University)

They have collaborated frequently with a number of coauthors including:

  • Giampaolo Tortora
  • Antonio Vitale
  • Luca Mastrantoni
  • Emanuele Vita
  • P. Troisi

Gabriel Horn's research has contributed to a range of areas within oncology and related technologies, with a particular focus on cancer genomics, immunotherapy resistance, and neuroendocrine tumor studies, as well as technology applications in vehicle identification and smart parking.

Over their career, they have been recognized with awards including the Animal Management Award from the American Society of Animal Science in 1998 and the Fellowship of the American Association for the Advancement of Science (AAAS) awarded in 1965.

Best Publications

  • Pathways of the past: the imprint of memory.

    Gabriel Horn

  • Short-Term Changes in Neural Activity and Behaviour

    Stephen C. Woods;G. Horn;R. A. Hinde

  • Learning and memory: regional changes in N-methyl-D-aspartate receptors in the chick brain after imprinting

    B J McCabe;G Horn

  • Changes in the structure of synapses associated with learning

    G Horn;P Bradley;BJ McCabe

  • Effects of restricted lesions of the chick forebrain on the acquisition of filial preferences during imprinting

    B. J. McCabe;G. Horn;Patrick P. Bateson

  • An autoradiographic study of the chick brain after imprinting.

    G. Horn;B.J. McCabe;P.P.G. Bateson

  • Visual imprinting and the neural mechanisms of recognition memory

    Gabriel Horn

  • Development of filial preferences in dark-reared chicks

    M.H. Johnson;G. Horn

  • Responsiveness to sensory stimulation of units in the superior colliculus and subjacent tectotegmental regions of the rabbit.

    Unknown

  • Experience and plasticity in the central nervous system.

    G. Horn;S. P. R. Rose;P. P. G. Bateson

  • Learning-related changes in Fos-like immunoreactivity in the chick forebrain after imprinting

    B J McCabe;G Horn

  • Interaction between acquired preferences and developing predispositions during imprinting.

    M.H. Johnson;J.J. Bolhuis;G. Horn

  • A comparison between transient amnesias induced by two drugs (diazepam or lorazepam) and amnesia of organic origin

    John Brown;Vivien Lewis;Malcolm Brown;Gabriel Horn

  • Imprinting. An electron microscopic study of chick hyperstriatum ventrale.

    P Bradley;G Horn;P Bateson

  • Hemispheric asymmetry and imprinting: The effect of sequential lesions to the hyperstriatum ventrale

    J. Cipolla-Neto;G. Horn;B. J. McCabe

  • Neuronal Mechanisms of Habituation

    Gabriel Horn

  • Modifications of receptive fields of cells in the visual cortex occurring spontaneously and associated with bodily tilt.

    Gabriel Horn;Richard M. Hill

  • Amnesic effects of bilateral lesions placed in the hyperstriatum ventrale of the chick after imprinting

    B. J. McCabe;J. Cipolla-Neto;G. Horn;P. Bateson

  • Receptive fields of units in the visual cortex of the cat in the presence and absence of bodily tilt.

    G. Horn;G. Stechler;R. M. Hill

  • Effects of early experience on regional incorporation of precursors into RNA and protein in the chick brain.

    P.P.G. Bateson;P.P.G. Bateson;G. Horn;G. Horn;S.P.R. Rose;S.P.R. Rose

  • The role of stimulus comparison in perceptual learning: An investigation with the domestic chick

    Robert Colin Honey;Patrick Bateson;Gabriel Horn

  • Imprinting and recognition memory: a neural net model

    Patrick Bateson;Gabriel Horn

Frequent Co-Authors

Patrick Bateson
Patrick Bateson University of Cambridge
Johan J. Bolhuis
Johan J. Bolhuis University of Cambridge
Malcolm W. Brown
Malcolm W. Brown University of Bristol
José Cipolla-Neto
José Cipolla-Neto Universidade de São Paulo
Steven P. R. Rose
Steven P. R. Rose The Open University
Keith M. Kendrick
Keith M. Kendrick University of Electronic Science and Technology of China
Robert Colin Honey
Robert Colin Honey Cardiff University
Paul G.M. Luiten
Paul G.M. Luiten University of Groningen
Mark G. Darlison
Mark G. Darlison Edinburgh Napier University
Aryeh Routtenberg
Aryeh Routtenberg Northwestern University

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