World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
65
Citations
19035
World Ranking
3084
National Ranking
1435

Computer Science

D-Index
59
Citations
17681
World Ranking
3368
National Ranking
1630

Stephen I. Ryu 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 Stephen I. Ryu 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: 140 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Stephen I. Ryu 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 Stephen I. Ryu 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: 65 D-Index — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Overview

Stephen I. Ryu is affiliated with Stanford University in the United States. Their research primarily focuses on neuroscience and medicine, with subfields concentrating on cognitive neuroscience, surgery, pathology and forensic medicine, and biomedical engineering.

The main topics addressed in their body of work include:

  • Neural dynamics and brain function
  • EEG and Brain-Computer Interfaces
  • Motor Control and Adaptation
  • Neural and Behavioral Psychology Studies
  • Spinal Fractures and Fixation Techniques
  • Spine and Intervertebral Disc Pathology
  • Cervical and Thoracic Myelopathy

Stephen I. Ryu has published multiple papers, with recent works including:

  • "Causal Role of Motor Preparation during Error-Driven Learning" (2020) in Neuron
  • "Learning leaves a memory trace in motor cortex" (2024) in Current Biology
  • "Structure in Neural Activity during Observed and Executed Movements Is Shared at the Neural Population Level, Not in Single Neurons" (2020) in Cell Reports
  • "Learning alters neural activity to simultaneously support memory and action" (2022) in bioRxiv (Cold Spring Harbor Laboratory)
  • "Skill-specific changes in cortical preparatory activity during motor learning" (2020) in bioRxiv (Cold Spring Harbor Laboratory)

Frequent co-authors in their research collaborations include:

  • Krishna V. Shenoy
  • Matthew D. Golub
  • Saurabh Vyas
  • Daniel J. O'Shea
  • Darby M. Losey

Stephen I. Ryu's publications are often found in journals such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Neuron
  • Current Biology
  • Cell Reports
  • Global Spine Journal

Best Publications

  • Neural population dynamics during reaching

    Mark M. Churchland;John P. Cunningham;John P. Cunningham;Matthew T. Kaufman;Justin D. Foster

  • Stimulus onset quenches neural variability: a widespread cortical phenomenon

    Mark M. Churchland;Byron M. Yu;Byron M. Yu;John P. Cunningham;Leo P. Sugrue;Leo P. Sugrue

  • A high-performance brain–computer interface

    Gopal Santhanam;Stephen I. Ryu;Byron M. Yu;Afsheen Afshar

  • Cortical activity in the null space: permitting preparation without movement

    Matthew T Kaufman;Mark M Churchland;Stephen I Ryu;Krishna V Shenoy

  • Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity

    Byron M Yu;John P Cunningham;Gopal Santhanam;Stephen I. Ryu

  • Neural constraints on learning

    Patrick T. Sadtler;Kristin M. Quick;Matthew D. Golub;Steven M. Chase

  • Inferring single-trial neural population dynamics using sequential auto-encoders.

    Chethan Pandarinath;Daniel J. O’Shea;Jasmine Collins;Rafal Jozefowicz;Rafal Jozefowicz

  • A high-performance neural prosthesis enabled by control algorithm design

    Vikash Gilja;Paul Nuyujukian;Cindy A Chestek;John P Cunningham;John P Cunningham

  • Neural Variability in Premotor Cortex Provides a Signature of Motor Preparation

    Mark M. Churchland;Byron M. Yu;Stephen I. Ryu;Gopal Santhanam

  • Cortical Preparatory Activity: Representation of Movement or First Cog in a Dynamical Machine?

    Mark M. Churchland;John P. Cunningham;John P. Cunningham;Matthew T. Kaufman;Stephen I. Ryu;Stephen I. Ryu

  • Image-guided hypo-fractionated stereotactic radiosurgery to spinal lesions.

    Stephen I. Ryu;Steven D. Chang;Daniel H Kim;Martin J. Murphy

  • Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortex

    Cynthia A Chestek;Vikash Gilja;Paul Nuyujukian;Justin D Foster

  • Unsupervised Discovery of Demixed, Low-Dimensional Neural Dynamics across Multiple Timescales through Tensor Component Analysis.

    Alex H. Williams;Tony Hyun Kim;Forea Wang;Saurabh Vyas

  • A theory of multineuronal dimensionality, dynamics and measurement

    Gao P;Trautmann E;Yu B;Santhanam G

  • Wireless Neural Recording With Single Low-Power Integrated Circuit

    R.R. Harrison;R.J. Kier;C.A. Chestek;V. Gilja

  • Single-Trial Neural Correlates of Arm Movement Preparation

    Afsheen Afshar;Gopal Santhanam;Byron M. Yu;Byron M. Yu;Stephen I. Ryu;Stephen I. Ryu

  • Accurate Estimation of Neural Population Dynamics without Spike Sorting.

    Eric M. Trautmann;Eric M. Trautmann;Sergey D. Stavisky;Subhaneil Lahiri;Katherine C. Ames;Katherine C. Ames

  • Learning by neural reassociation.

    Matthew D. Golub;Matthew D. Golub;Patrick T. Sadtler;Patrick T. Sadtler;Emily R. Oby;Emily R. Oby;Kristin M. Quick;Kristin M. Quick

  • The Largest Response Component in the Motor Cortex Reflects Movement Timing but Not Movement Type.

    Matthew T. Kaufman;Jeffrey S. Seely;David Sussillo;Stephen I. Ryu

  • Making brain-machine interfaces robust to future neural variability.

    David Sussillo;Sergey D. Stavisky;Jonathan C. Kao;Stephen I. Ryu;Stephen I. Ryu

  • Mixture of trajectory models for neural decoding of goal-directed movements

    Byron M. Yu;Caleb Kemere;Gopal Santhanam;Afsheen Afshar

Frequent Co-Authors

Krishna V. Shenoy
Krishna V. Shenoy Stanford University
Byron M. Yu
Byron M. Yu Carnegie Mellon University
John P. Cunningham
John P. Cunningham Columbia University
Mark M. Churchland
Mark M. Churchland Columbia University
Maneesh Sahani
Maneesh Sahani University College London
Teresa H. Meng
Teresa H. Meng Stanford University
Surya Ganguli
Surya Ganguli Stanford University
Karl Deisseroth
Karl Deisseroth Stanford University
William T. Newsome
William T. Newsome Stanford University
Jaimie M. Henderson
Jaimie M. Henderson Stanford University

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