World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
67
Citations
15778
World Ranking
1317
National Ranking
431

John P. Wikswo 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 John P. Wikswo 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: 403 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

John P. Wikswo 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 John P. Wikswo 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: 67 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2010 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2008 - IEEE Fellow For contributions to understanding electromagnetic effects on materials and biological tissues
  • 1998 - Fellow of the Indian National Academy of Engineering (INAE)
  • 1992 - Fellow of John Simon Guggenheim Memorial Foundation
  • 1989 - Fellow of American Physical Society (APS) Citation For pioneering instrumentation, experimental techniques, and theoretical models for studying and interpreting magnetic fields produced by electric currents in isolated nerves and other biological and nonbiological systems
  • 1980 - Fellow of Alfred P. Sloan Foundation

Overview

John P. Wikswo is affiliated with Vanderbilt University in the United States. Their research spans multiple fields, including Medicine, Engineering, and Biochemistry, Genetics, and Molecular Biology. Within these areas, their work focuses on subfields such as Molecular Biology, Biomedical Engineering, Infectious Diseases, Physiology, and Neurology.

The scientist's main research topics include 3D Printing in Biomedical Research, Innovative Microfluidic and Catalytic Techniques Innovation, Inhalation and Respiratory Drug Delivery, Tuberous Sclerosis Complex Research, SARS-CoV-2 and COVID-19 Research, COVID-19 Clinical Research Studies, and Neuroscience and Neural Engineering.

Their frequent publication venues include:

  • Lab on a Chip
  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • The FASEB Journal
  • Journal of Clinical Investigation

Notable recent papers authored or co-authored by John P. Wikswo include:

  • "Predicting susceptibility to SARS-CoV-2 infection based on structural differences in ACE2 across species", 2020, The FASEB Journal
  • "Advances in blood-brain barrier modeling in microphysiological systems highlight critical differences in opioid transport due to cortisol exposure", 2020, Fluids and Barriers of the CNS
  • "Rapid prototyping of cell culture microdevices using parylene-coated 3D prints", 2021, Lab on a Chip
  • "Application of a Human Blood Brain Barrier Organ-on-a-Chip Model to Evaluate Small Molecule Effectiveness against Venezuelan Equine Encephalitis Virus", 2022, Viruses
  • "The Microbiome and the Gut-Liver-Brain Axis for Central Nervous System Clinical Pharmacology: Challenges in Specifying and Integrating In Vitro and In Silico Models", 2020, Clinical Pharmacology & Therapeutics

The scientist has collaborated frequently with other researchers. Some frequent co-authors include:

  • Jacquelyn A. Brown (11 collaborations)
  • Shannon L. Faley (6 collaborations)
  • David K. Schaffer (6 collaborations)
  • Farhang Alem (5 collaborations)
  • Niloufar A. Boghdeh (5 collaborations)

John P. Wikswo has been recognized with several fellowships and awards including:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2010
  • IEEE Fellow, 2008, for contributions to understanding electromagnetic effects on materials and biological tissues
  • Fellow of the Indian National Academy of Engineering (INAE), 1998
  • Fellow of John Simon Guggenheim Memorial Foundation, 1992
  • Fellow of American Physical Society (APS), 1989, for pioneering instrumentation, experimental techniques, and theoretical models for studying and interpreting magnetic fields produced by electric currents in isolated nerves and other biological and nonbiological systems
  • Fellow of Alfred P. Sloan Foundation, 1980

Best Publications

  • Using a magnetometer to image a two‐dimensional current distribution

    Bradley J. Roth;Nestor G. Sepulveda;John P. Wikswo

  • Virtual electrodes in cardiac tissue: a common mechanism for anodal and cathodal stimulation

    J. P. Wikswo;Shien-Fong Lin;R. A. Abbas

  • Current injection into a two-dimensional anisotropic bidomain

    N.G. Sepulveda;B.J. Roth;J.P. Wikswo

  • Recreating blood-brain barrier physiology and structure on chip: A novel neurovascular microfluidic bioreactor

    Jacquelyn A. Brown;Virginia Pensabene;Dmitry A. Markov;Vanessa Allwardt

  • Scaling and systems biology for integrating multiple organs-on-a-chip

    John P. Wikswo;Erica L. Curtis;Zachary E. Eagleton;Brian C. Evans

  • Effects of flow and diffusion on chemotaxis studies in a microfabricated gradient generator

    Glenn M. Walker;Jiqing Sai;Ann Richmond;Ann Richmond;Mark Stremler

  • Functional Coupling of Human Microphysiology Systems: Intestine, Liver, Kidney Proximal Tubule, Blood-Brain Barrier and Skeletal Muscle

    Unknown

  • Microfluidic single-cell array cytometry for the analysis of tumor apoptosis

    Donald Wlodkowic;Shannon Faley;Michele Zagnoni;John P. Wikswo

  • Magnetic field of a nerve impulse: first measurements

    John P. Wikswo;John P. Barach;John A. Freeman

  • The relevance and potential roles of microphysiological systems in biology and medicine.

    John P Wikswo

  • SQUIDs for nondestructive evaluation

    W G Jenks;S S H Sadeghi;J P Wikswo

  • Functional Coupling of Human Microphysiology Systems: Intestine, Liver, Kidney Proximal Tubule, Blood-Brain Barrier and Skeletal Muscle

    Lawrence Vernetti;Albert Gough;Nicholas Baetz;Sarah Blutt

  • SCANNING SQUID MICROSCOPY

    John R. Kirtley;John P. Wikswo

  • Engineering Challenges for Instrumenting and Controlling Integrated Organ-on-Chip Systems

    J. P. Wikswo;F. E. Block;D. E. Cliffel;C. R. Goodwin

  • Metabolic consequences of inflammatory disruption of the blood-brain barrier in an organ-on-chip model of the human neurovascular unit

    Jacquelyn A. Brown;Simona G. Codreanu;Mingjian Shi;Stacy D. Sherrod

  • Microfluidic platform for real-time signaling analysis of multiple single T cells in parallel.

    Shannon Faley;Kevin Seale;Jacob Hughey;David K. Schaffer

  • Device and methods for measuring the response of at least one cell to a medium

    John P Wikswo;David Osterman;Franz J Baudenbacher;Owen Mcguinness

  • Microfluidic single cell arrays to interrogate signalling dynamics of individual, patient-derived hematopoietic stem cells.

    Shannon L. Faley;Mhairi Copland;Donald Wlodkowic;Walter Kolch

  • Experimental and theoretical analysis of phase singularity dynamics in cardiac tissue.

    Mark Anthony Bray;Shien-Fong Lin;Rubin R. Aliev;Bradley J. Roth

  • A mathematical model of bone remodeling dynamics for normal bone cell populations and myeloma bone disease

    Bruce P Ayati;Claire M Edwards;Glenn F Webb;John P Wikswo

  • Measurement techniques for cellular biomechanics in vitro.

    Kweku A. Addae-Mensah;John P. Wikswo

  • The magnetic field of a single axon. A comparison of theory and experiment

    B.J. Roth;J.P. Wikswo

  • Electrical stimulation of cardiac tissue: a bidomain model with active membrane properties

    B.J. Roth;J.P. Wikswo

Frequent Co-Authors

David E. Cliffel
David E. Cliffel Vanderbilt University
Bradley J. Roth
Bradley J. Roth Oakland University
John A. McLean
John A. McLean Vanderbilt University
Ann Richmond
Ann Richmond Vanderbilt University
Deyu Li
Deyu Li Vanderbilt University
Joseph L. Kirschvink
Joseph L. Kirschvink California Institute of Technology
Charles P. Lin
Charles P. Lin Harvard University
Sandra J. Rosenthal
Sandra J. Rosenthal Vanderbilt University
Donna J. Webb
Donna J. Webb Vanderbilt University

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