World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
79
Citations
30788
World Ranking
17386
National Ranking
8707

Neuroscience

D-Index
80
Citations
30997
World Ranking
1601
National Ranking
787

Richard B. Buxton 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 Richard B. Buxton 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: 273 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Richard B. Buxton 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 Richard B. Buxton 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: 80 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Overview

Richard B. Buxton is affiliated with the University of California, San Diego in the United States. Their research spans multiple fields of study primarily focused on neuroscience, with significant contributions also in arts and humanities, as well as biochemistry, genetics, and molecular biology.

The main fields of study associated with their work include:

  • Neuroscience
  • Arts and Humanities
  • Biochemistry, Genetics and Molecular Biology

More specialized subfields explored by Buxton include:

  • Cognitive Neuroscience
  • Genetics
  • Cellular and Molecular Neuroscience
  • History and Philosophy of Science
  • Radiology, Nuclear Medicine and Imaging

The core topics within their research portfolio feature:

  • Neural dynamics and brain function
  • Optical Imaging and Spectroscopy Techniques
  • Functional Brain Connectivity Studies
  • High Altitude and Hypoxia
  • Neuroscience of respiration and sleep
  • Mitochondrial Function and Pathology
  • Medieval Literature and History

Richard B. Buxton has authored several papers, most recently published through bioRxiv (Cold Spring Harbor Laboratory) and the journal Gnomon. Selected recent publications include:

  • Microscopic Quantification of Oxygen Consumption across Cortical Layers, 2021, bioRxiv
  • Thermodynamic limitations on brain oxygen metabolism: physiological implications, 2023, bioRxiv
  • Metabolic energetics underlying attractors in neural models, 2023, bioRxiv
  • Daniel Ogden: The Werewolf in the Ancient World., 2023, Gnomon

Their coauthors include Mercedes Aguirre, Philipp Mächler, Natalie Fomin-Thunemann, Martin Thunemann, and Marte J. Sætra, reflecting collaboration across neuroscience and related disciplines.

Buxton has contributed to book publications as well, notably with Oxford University Press where they published a work titled Cyclops in 2020.

Best Publications

  • Dynamics of blood flow and oxygenation changes during brain activation: the balloon model.

    Richard B. Buxton;Eric C. Wong;Lawrence R. Frank

  • A general kinetic model for quantitative perfusion imaging with arterial spin labeling

    Richard B. Buxton;Richard B. Buxton;Lawrence R. Frank;Eric C. Wong;Bettina Siewert

  • Modeling the hemodynamic response to brain activation.

    Richard B. Buxton;Kâmil Uludağ;David J. Dubowitz;Thomas T. Liu

  • Involvement of striate and extrastriate visual cortical areas in spatial attention.

    A. Martínez;L. Anllo-Vento;M. I. Sereno;L. R. Frank

  • A Model for the Coupling Between Cerebral Blood Flow and Oxygen Metabolism During Neural Stimulation

    Richard B. Buxton;Lawrence R. Frank

  • A pathophysiological framework of hippocampal dysfunction in ageing and disease

    Scott A. Small;Scott A. Schobel;Richard B. Buxton;Menno P. Witter

  • Attentional activation of the cerebellum independent of motor involvement

    Greg Allen;Richard B. Buxton;Eric C. Wong;Eric Courchesne

  • Quantitative imaging of perfusion using a single subtraction (QUIPSS and QUIPSS II)

    Eric C. Wong;Richard B. Buxton;Lawrence R. Frank

  • Dynamic imaging with lanthanide chelates in normal brain: contrast due to magnetic susceptibility effects.

    A. Villringer;B. R. Rosen;J. W. Belliveau;J. L. Ackerman

  • Implementation of quantitative perfusion imaging techniques for functional brain mapping using pulsed arterial spin labeling.

    Eric C. Wong;Richard B. Buxton;Lawrence R. Frank

  • Altered brain response to verbal learning following sleep deprivation

    Sean P. A. Drummond;Gregory G. Brown;Gregory G. Brown;J. Christian Gillin;J. Christian Gillin;John L. Stricker

  • Introduction to Functional Magnetic Resonance Imaging: Principles and Techniques

    Richard B. Buxton

  • MR Contrast Due to Microscopically Heterogeneous Magnetic Susceptibility: Numerical Simulations and Applications to Cerebral Physiology

    C R Fisel;J L Ackerman;R B Buxton;L Garrido

  • The physics of functional magnetic resonance imaging (fMRI)

    Richard B Buxton

  • Biophysical Bases of Elasticity Imaging

    A. P. Sarvazyan;A. R. Skovoroda;S. Y. Emelianov;S. Y. Emelianov;J. B. Fowlkes

  • Putting spatial attention on the map: Timing and localization of stimulus selection processes in striate and extrastriate visual areas

    Antı́gona Martı́nez;Francesco DiRusso;Lourdes Anllo-Vento;Martin I Sereno

  • MR diffusion imaging of cerebral infarction in humans.

    D Chien;K K Kwong;D R Gress;F S Buonanno

  • Sleep deprivation-induced reduction in cortical functional response to serial subtraction.

    Sean Drummond;Gregory Brown;John Stricker;Richard Buxton

  • Detection power, estimation efficiency, and predictability in event-related fMRI.

    Thomas T. Liu;Lawrence R. Frank;Lawrence R. Frank;Eric C. Wong;Richard B. Buxton

  • A theoretical and experimental comparison of continuous and pulsed arterial spin labeling techniques for quantitative perfusion imaging.

    Eric C. Wong;Richard B. Buxton;Lawrence R. Frank

Frequent Co-Authors

Anna Devor
Anna Devor Boston University
Thomas T. Liu
Thomas T. Liu University of California, San Diego
Bruce R. Rosen
Bruce R. Rosen Harvard University
Anders M. Dale
Anders M. Dale J. Craig Venter Institute
David A. Boas
David A. Boas Boston University
Thomas J. Brady
Thomas J. Brady Harvard University
Gregory G. Brown
Gregory G. Brown University of California, San Diego
Nathaniel M. Alpert
Nathaniel M. Alpert Harvard University
Antigona Martinez
Antigona Martinez Nathan Kline Institute for Psychiatric Research
Gaute T. Einevoll
Gaute T. Einevoll Norwegian University of Life Sciences

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