World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
35
Citations
4684
World Ranking
9008
National Ranking
2519

Ken Yoshida publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Ken Yoshida sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 133 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Ken Yoshida D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Ken Yoshida sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 35 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Ken Yoshida is affiliated with Indiana University - Purdue University Indianapolis in the United States. Their research primarily spans the fields of neuroscience and medicine, with notable contributions in related subfields such as cellular and molecular neuroscience, biomedical engineering, cognitive neuroscience, neurology, and radiology, nuclear medicine and imaging.

Their work covers various topics, including:

  • Neuroscience and Neural Engineering
  • Muscle activation and electromyography studies
  • EEG and Brain-Computer Interfaces
  • Vagus Nerve Stimulation Research
  • Pain Management and Treatment
  • Mesenchymal stem cell research
  • Hydrogen's biological and therapeutic effects

Ken Yoshida has published extensively in several venues, with frequent publications appearing in:

  • Artificial Organs
  • Scientific Reports
  • npj Flexible Electronics
  • Journal of Neural Engineering
  • Research Square

Recent papers authored or co-authored by Ken Yoshida include the following:

  • "Hypoxia-preconditioned mesenchymal stem cells prevent renal fibrosis and inflammation in ischemia-reperfusion rats" (2020), published in Stem Cell Research & Therapy
  • "Interferon-γ enhances the therapeutic effect of mesenchymal stem cells on experimental renal fibrosis" (2021), published in Scientific Reports
  • "Stability of flexible thin-film metallization stimulation electrodes: analysis of explants after first-in-human study and improvement of in vivo performance" (2020), published in Journal of Neural Engineering
  • "Characteristics and outcomes of bacteremia among ICU-admitted patients with severe sepsis" (2020), published in Scientific Reports
  • "Bringing sensation to prosthetic hands-chronic assessment of implanted thin-film electrodes in humans" (2023), published in npj Flexible Electronics

Ken Yoshida frequently collaborates with other researchers, including:

  • Winnie Jensen
  • M. Ryne Horn
  • Jean-Louis Divoux
  • David Guiraud
  • Awadh Alhawwash

Best Publications

  • A transverse intrafascicular multichannel electrode (TIME) to interface with the peripheral nerve.

    Tim Boretius;Jordi Badia;Aran Pascual-Font;Martin Schuettler

  • Assessment of Biocompatibility of Chronically Implanted Polyimide and Platinum Intrafascicular Electrodes

    N. Lago;K. Yoshida;K.P. Koch;X. Navarro

  • Selective stimulation of peripheral nerve fibers using dual intrafascicular electrodes

    K. Yoshida;K. Horch

  • A 32-site neural recording probe fabricated by DRIE of SOI substrates

    Peter Norlin;Maria Kindlundh;Aliette Mouroux;Ken Yoshida

  • Closed-loop control of ankle position using muscle afferent feedback with functional neuromuscular stimulation

    K. Yoshida;K. Horch

  • Identification, Localization, and Modulation of Neural Networks for Walking in the Mudpuppy (Necturus Maculatus) Spinal Cord

    Jianguo Cheng;Richard B. Stein;Ksenija Jovanovic;Ken Yoshida

  • On the Use of Longitudinal Intrafascicular Peripheral Interfaces for the Control of Cybernetic Hand Prostheses in Amputees

    S. Micera;X. Navarro;J. Carpaneto;L. Citi

  • On the use of wavelet denoising and spike sorting techniques to process electroneurographic signals recorded using intraneural electrodes

    Luca Citi;Jacopo Carpaneto;Ken Yoshida;Ken Yoshida;Klaus-Peter Hoffmann

  • Acute peripheral nerve recording Characteristics of polymer-based longitudinal intrafascicular electrodes

    S.M. Lawrence;G.S. Dhillon;W. Jensen;K. Yoshida

  • In-vivo implant mechanics of flexible, silicon-based ACREO microelectrode arrays in rat cerebral cortex

    W. Jensen;K. Yoshida;U.G. Hofmann

  • Decoding Information From Neural Signals Recorded Using Intraneural Electrodes: Toward the Development of a Neurocontrolled Hand Prosthesis

    S. Micera;L. Citi;J. Rigosa;J. Carpaneto

  • Accurate and representative decoding of the neural drive to muscles in humans with multi-channel intramuscular thin-film electrodes.

    Silvia Muceli;Wigand Poppendieck;Francesco Negro;Ken Yoshida

  • Decoding of grasping information from neural signals recorded using peripheral intrafascicular interfaces

    Silvestro Micera;Silvestro Micera;Paolo M. Rossini;Jacopo Rigosa;Luca Citi

  • Quasi-trapezoidal pulses to selectively block the activation of intrinsic laryngeal muscles during vagal nerve stimulation.

    Marco Tosato;K. Yoshida;Egon Toft;Egon Toft;Johannes Struijk

  • Multichannel thin-film electrode for intramuscular electromyographic recordings.

    Dario Farina;Ken Yoshida;Thomas Stieglitz;Klaus Peter Koch

  • Closed-loop control of the heart rate by electrical stimulation of the vagus nerve

    Marco Tosato;Ken Yoshida;Egon Toft;Egon Toft;Vitas Nekrasas

  • Stimulation Selectivity of the “Thin-Film Longitudinal Intrafascicular Electrode” (tfLIFE) and the “Transverse Intrafascicular Multi-Channel Electrode” (TIME) in the Large Nerve Animal Model

    Aritra Kundu;Kristian Rauhe Harreby;Ken Yoshida;Tim Boretius

  • Characterization of signals and noise rejection with bipolar longitudinal intrafascicular electrodes

    K. Yoshida;R.B. Stein

  • Reduced fatigue in electrically stimulated muscle using dual channel intrafascicular electrodes with interleaved stimulation

    Ken Yoshida;Ken Horch

  • Relationship between grasping force and features of single-channel intramuscular EMG signals.

    Ernest Nlandu Kamavuako;Dario Farina;Ken Yoshida;Ken Yoshida;Winnie Jensen

  • Nanoscale topography reduces fibroblast growth, focal adhesion size and migration-related gene expression on platinum surfaces.

    Cristian Pablo Pennisi;Alireza Dolatshahi-Pirouz;Morten Foss;Jacques Chevallier

Frequent Co-Authors

Silvestro Micera
Silvestro Micera Sant'Anna School of Advanced Studies
Thomas Stieglitz
Thomas Stieglitz University of Freiburg
Dario Farina
Dario Farina Imperial College London
Xavier Navarro
Xavier Navarro Autonomous University of Barcelona
Paolo Maria Rossini
Paolo Maria Rossini Catholic University of the Sacred Heart
Paolo Dario
Paolo Dario Sant'Anna School of Advanced Studies
Alireza Dolatshahi-Pirouz
Alireza Dolatshahi-Pirouz Technical University of Denmark
Flemming Besenbacher
Flemming Besenbacher Aarhus University
Richard B. Stein
Richard B. Stein University of Alberta
Francesco Negro
Francesco Negro University of Brescia

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