World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
78
Citations
16709
World Ranking
18205
National Ranking
9077

Neuroscience

D-Index
77
Citations
16381
World Ranking
1876
National Ranking
897

Ponnada A. Narayana 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 Ponnada A. Narayana 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: 355 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Ponnada A. Narayana 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 Ponnada A. Narayana 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: 77 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Overview

Ponnada A. Narayana is affiliated with The University of Texas Health Science Center at Houston in the United States. Their research primarily spans the field of medicine, with a focus on radiology, nuclear medicine and imaging, surgery, pathology and forensic medicine, neurology, and epidemiology. The scientist's work extensively covers topics including multiple sclerosis research studies, ultrasound imaging and elastography, advanced neuroimaging techniques and applications, functional brain connectivity studies, knee injuries and reconstruction techniques, ultrasound and hyperthermia applications, and total knee arthroplasty outcomes.

The scientist has contributed to several publications in prominent venues. These include:

  • Scientific Reports
  • Journal of Biomedical Materials Research Part B Applied Biomaterials
  • Medicine & Science in Sports & Exercise
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Multiple Sclerosis Journal

Their recent papers illustrate a range of research interests and applications. Notable publications are:

  • Deep learning segmentation of gadolinium-enhancing lesions in multiple sclerosis, 2020, Multiple Sclerosis Journal
  • A meta-analysis of tract-based spatial statistics studies examining white matter integrity in cocaine use disorder, 2020, Addiction Biology
  • Quantitative Assessment of In Vivo Human Anterior Cruciate Ligament Autograft Remodeling: A 3-Dimensional UTE-T2* Imaging Study, 2020, The American Journal of Sports Medicine
  • Hybrid machine learning framework for predictive maintenance and anomaly detection in lithium-ion batteries using enhanced random forest, 2025, Scientific Reports
  • Automatic Active Lesion Tracking in Multiple Sclerosis Using Unsupervised Machine Learning, 2024, Diagnostics

Ponnada A. Narayana frequently collaborates with other researchers. Frequent co-authors include:

  • Refaat E. Gabr
  • Khader M. Hasan
  • Michael A. Jacobs
  • Payam Zandiyeh
  • Manickam Kumaravel

Best Publications

  • Glatiramer acetate in primary progressive multiple sclerosis: Results of a multinational, multicenter, double-blind, placebo-controlled trial

    Jerry S. Wolinsky;Ponnada A. Narayana;Paul O'Connor;Patricia K. Coyle

  • Serial proton magnetic resonance spectroscopic imaging, contrast-enhanced magnetic resonance imaging, and quantitative lesion volumetry in multiple sclerosis.

    Ponnada A. Narayana;Timothy J. Doyle;Dejian Lai;Jerry S. Wolinsky

  • Reduced Anterior Corpus Callosum White Matter Integrity is Related to Increased Impulsivity and Reduced Discriminability in Cocaine-Dependent Subjects: Diffusion Tensor Imaging

    Frederick Gerard Moeller;Khader M Hasan;Joel L Steinberg;Larry A Kramer

  • Improved identification of intracortical lesions in multiple sclerosis with phase-sensitive inversion recovery in combination with fast double inversion recovery MR imaging

    Flavia Nelson;A. H. Poonawalla;P. Hou;F. Huang

  • Cell death in experimental intracerebral hemorrhage: the "black hole" model of hemorrhagic damage.

    Robert A. Felberg;James C. Grotta;Ali L. Shirzadi;Roger Strong

  • Randomized study combining interferon and glatiramer acetate in multiple sclerosis

    Fred D. Lublin;Stacey S. Cofield;Gary R. Cutter;Robin Conwit

  • Demonstration of interstitial cerebral edema with diffusion tensor MR imaging in type C hepatic encephalopathy

    Ravindra A. Kale;Rakesh K. Gupta;Vivek A. Saraswat;Khader M. Hasan

  • Magnetic Resonance Spectroscopy in the Monitoring of Multiple Sclerosis

    Ponnada A. Narayana

  • Serial Changes in the White Matter Diffusion Tensor Imaging Metrics in Moderate Traumatic Brain Injury and Correlation with Neuro-Cognitive Function

    Raj Kumar;Mazhar Husain;Rakesh K. Gupta;Khader M. Hasan

  • Diffusion tensor fractional anisotropy of the normal-appearing seven segments of the corpus callosum in healthy adults and relapsing-remitting multiple sclerosis patients.

    Khader M. Hasan;Rakesh K. Gupta;Rafael M. Santos;Jerry S. Wolinsky

  • Early postnatal development of rat brain: In vivo diffusion tensor imaging

    K. H. Bockhorst;Ponnada A Narayana;R. Liu;P. Ahobila-Vijjula

  • In vivo serial diffusion tensor imaging of experimental spinal cord injury.

    Aparna A. Deo;Raymond J. Grill;Khader M. Hasan;Ponnada A. Narayana

  • 3D MPRAGE Improves Classification of Cortical Lesions in Multiple Sclerosis

    Flavia Nelson;A. Poonawalla;P. Hou;J. S. Wolinsky

  • Proton magnetic resonance spectroscopy in multiple sclerosis.

    Balasrinivasa R. Sajja;Jerry S. Wolinsky;Ponnada A. Narayana

  • 1.5 tesla magnetic resonance imaging of acute spinal trauma.

    M. V. Kulkarni;F. J. Bondurant;S. L. Rose;Ponnada A Narayana

  • Compensation for surface coil sensitivity variation in magnetic resonance imaging

    Ponnada A Narayana;W. W. Brey;M. V. Kulkarni;C. L. Sievenpiper

  • Unified Approach for Multiple Sclerosis Lesion Segmentation on Brain MRI

    Balasrinivasa Rao Sajja;Sushmita Datta;Renjie He;Meghana Mehta

  • Proton magnetic resonance spectroscopy in multiple sclerosis.

    Jerry S. Wolinsky;Ponnada A. Narayana;Marc J. Fenstermacher

  • Linomide in relapsing and secondary progressive MS Part II: MRI results

    Jerry S. Wolinsky;Ponnada A Narayana;J. H. Noseworthy;F. D. Lublin

  • Computation of the fractional anisotropy and mean diffusivity maps without tensor decoding and diagonalization: Theoretical analysis and validation.

    Khader M Hasan;Ponnada A Narayana

Frequent Co-Authors

Jerry S. Wolinsky
Jerry S. Wolinsky The University of Texas Health Science Center at Houston
Joel L. Steinberg
Joel L. Steinberg Virginia Commonwealth University
F. Gerard Moeller
F. Gerard Moeller Virginia Commonwealth University
Scott D. Lane
Scott D. Lane The University of Texas Health Science Center at Houston
Rakesh K. Gupta
Rakesh K. Gupta West Virginia University
Larry Kevan
Larry Kevan University of Houston
Fred D. Lublin
Fred D. Lublin Icahn School of Medicine at Mount Sinai
Joy M. Schmitz
Joy M. Schmitz The University of Texas Health Science Center at Houston
Gary Cutter
Gary Cutter University of Alabama at Birmingham
Donald M. Dougherty
Donald M. Dougherty The University of Texas Health Science Center at San Antonio

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