World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
35
Citations
7464
World Ranking
9121
National Ranking
3844

Javier F. Medina 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 Javier F. Medina 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: 65 publications — 2nd percentile

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

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

Javier F. Medina 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 Javier F. Medina 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: 35 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Overview

Javier F. Medina is affiliated with Baylor College of Medicine in the United States. Their research primarily focuses on neuroscience, with a particular emphasis on neurology, cognitive neuroscience, and cellular and molecular neuroscience. Additional subfields include molecular biology and biophysics.

The scientist has contributed to the study of topics such as vestibular and auditory disorders, transcranial magnetic stimulation studies, neural dynamics and brain function, neuroscience and neuropharmacology research, neuroscience and neural engineering, neurological disorders and treatments, and EEG and brain-computer interfaces.

Recent publications by Javier F. Medina include:

  • "A cerebello-olivary signal for negative prediction error is sufficient to cause extinction of associative motor learning" (2020, Nature Neuroscience)
  • "P-sort: an open-source software for cerebellar neurophysiology" (2021, Journal of Neurophysiology)
  • "Action-based organization of a cerebellar module specialized for predictive control of multiple body parts" (2021, Neuron)
  • "Immediate and after effects of transcranial direct-current stimulation in the mouse primary somatosensory cortex" (2021, Scientific Reports)
  • "Deleting Mecp2 from the cerebellum rather than its neuronal subtypes causes a delay in motor learning in mice" (2021, eLife)

Frequent co-authors collaborating with Javier F. Medina include:

  • Shogo Ohmae
  • Álvaro Sánchez-López
  • Carlos A. Sánchez-León
  • Javier Márquez-Ruiz
  • Gregory J. Wojaczynski

Key publication venues for their work consist of:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • eLife
  • Scientific Reports
  • Clinical Neurophysiology
  • Cell

Best Publications

  • Regulation of Absorption and ABC1-Mediated Efflux of Cholesterol by RXR Heterodimers

    Joyce Repa;Stephen D Turley;J. M A Lobaccaro;J. Medina

  • Timing Mechanisms in the Cerebellum: Testing Predictions of a Large-Scale Computer Simulation

    Javier F. Medina;Keith S. Garcia;William L. Nores;Nichole M. Taylor

  • Computer simulation of cerebellar information processing.

    Javier F. Medina;Michael D. Mauk

  • Parallels between cerebellum- and amygdala-dependent conditioning.

    Javier F. Medina;J. Christopher Repa;Michael D. Mauk;Joseph E. LeDoux

  • Links from complex spikes to local plasticity and motor learning in the cerebellum of awake-behaving monkeys

    Javier F Medina;Stephen G Lisberger

  • Inhibition of climbing fibres is a signal for the extinction of conditioned eyelid responses

    Javier F Medina;William L Nores;Michael D Mauk

  • A Mechanism for Savings in the Cerebellum

    Javier F. Medina;Keith S. Garcia;Michael D. Mauk

  • Precise control of movement kinematics by optogenetic inhibition of Purkinje cell activity.

    Shane A. Heiney;Jinsook Kim;George J. Augustine;George J. Augustine;George J. Augustine;Javier F. Medina

  • Climbing fibers encode a temporal-difference prediction error during cerebellar learning in mice

    Shogo Ohmae;Javier F Medina

  • Computational Principles of Supervised Learning in the Cerebellum.

    Jennifer L Raymond;Javier F Medina

  • Mechanisms of cerebellar learning suggested by eyelid conditioning

    Javier F Medina;William L Nores;Tatsuya Ohyama;Michael D Mauk

  • Cerebellar granule cells acquire a widespread predictive feedback signal during motor learning

    Andrea Giovannucci;Aleksandra Badura;Aleksandra Badura;Ben Deverett;Ben Deverett;Farzaneh Najafi

  • Cerebellar function: coordination, learning or timing?

    Michael Mauk;J. F. Medina;W. L. Nores;T. Ohyama

  • Cerebellar-dependent expression of motor learning during eyeblink conditioning in head-fixed mice.

    Shane A. Heiney;Margot P. Wohl;Selmaan N. Chettih;Luis I. Ruffolo

  • Learning-induced plasticity in deep cerebellar nucleus.

    Tatsuya Ohyama;William L. Nores;Javier F. Medina;Javier F. Medina;Frank A. Riusech

  • Simulations of cerebellar motor learning: Computational analysis of plasticity at the mossy fiber to deep nucleus synapse

    Javier F. Medina;Michael D. Mauk

  • Chromatin remodeling inactivates activity genes and regulates neural coding

    Yue Yang;Tomoko Yamada;Kelly K. Hill;Martin Hemberg

  • Variation, Signal, and Noise in Cerebellar Sensory–Motor Processing for Smooth-Pursuit Eye Movements

    Javier F. Medina;Stephen G. Lisberger

  • Dynamic modulation of activity in cerebellar nuclei neurons during pavlovian eyeblink conditioning in mice.

    Michiel Manuel ten Brinke;Shane Heiney;Xiaolu Wang;Martina Proietti-Onori

  • The representation of time for motor learning.

    Javier F. Medina;Megan R. Carey;Stephen G. Lisberger

  • Correction: Corrigendum: Links from complex spikes to local plasticity and motor learning in the cerebellum of awake-behaving monkeys

    Javier F Medina;Stephen G Lisberger

Frequent Co-Authors

Michael D. Mauk
Michael D. Mauk The University of Texas at Austin
Stephen G. Lisberger
Stephen G. Lisberger Duke University
Chris I. De Zeeuw
Chris I. De Zeeuw Erasmus University Rotterdam
Samuel S.-H. Wang
Samuel S.-H. Wang Princeton University
Roy V. Sillitoe
Roy V. Sillitoe Baylor College of Medicine
Guy Cheron
Guy Cheron Université Libre de Bruxelles
Huda Y. Zoghbi
Huda Y. Zoghbi Baylor College of Medicine
José M. Delgado-García
José M. Delgado-García Pablo de Olavide University
Agnès Gruart
Agnès Gruart Pablo de Olavide University
Reza Shadmehr
Reza Shadmehr Johns Hopkins University

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