World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
70
Citations
16180
World Ranking
2535
National Ranking
1199

Alexandra J. Golby 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 Alexandra J. Golby 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: 304 publications — 83rd percentile

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

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

Alexandra J. Golby 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 Alexandra J. Golby 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: 70 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Overview

Alexandra J. Golby is affiliated with Brigham and Women's Hospital in the United States. Their research spans the field of Medicine, with a primary focus on Radiology, Nuclear Medicine and Imaging, complemented by significant work in Biomedical Engineering, Computer Vision and Pattern Recognition, Cognitive Neuroscience, and Pediatrics, Perinatology and Child Health.

The scientist's recent scholarly contributions include papers published in prominent venues such as Science, NeuroImage, Medical Image Analysis, and JCO Clinical Cancer Informatics. Notable publications are:

  • Oncometabolite d -2HG alters T cell metabolism to impair CD8 + T cell function, 2022, Science
  • Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?, 2021, NeuroImage
  • Deep white matter analysis (DeepWMA): Fast and consistent tractography segmentation, 2020, Medical Image Analysis
  • SlicerDMRI: Diffusion MRI and Tractography Research Software for Brain Cancer Surgery Planning and Visualization, 2020, JCO Clinical Cancer Informatics
  • Tractography methods and findings in brain tumors and traumatic brain injury, 2021, NeuroImage

Their research interests encompass a range of topics related to neuroimaging and brain disorders. Main topics include:

  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Fetal and Pediatric Neurological Disorders
  • Glioma Diagnosis and Treatment
  • Medical Image Segmentation Techniques
  • Functional Brain Connectivity Studies
  • Medical Imaging Techniques and Applications

Frequent co-authors collaborating with this scientist are:

  • Sarah Frisken
  • Lauren J. O'Donnell
  • Yogesh Rathi
  • Fan Zhang
  • Parikshit Juvekar

The venues where this scientist has frequently published include:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Human Brain Mapping
  • International Journal of Computer Assisted Radiology and Surgery
  • Lecture Notes in Computer Science

Best Publications

  • Differential responses in the fusiform region to same-race and other-race faces.

    Alexandra J. Golby;John D. E. Gabrieli;Joan Y. Chiao;Jennifer L. Eberhardt

  • Rapid, label-free detection of brain tumors with stimulated Raman scattering microscopy.

    Minbiao Ji;Daniel A. Orringer;Christian W. Freudiger;Shakti Ramkissoon;Shakti Ramkissoon

  • Material-specific lateralization in the medial temporal lobe and prefrontal cortex during memory encoding.

    Alexandra J. Golby;Russell A. Poldrack;James B. Brewer;David Spencer

  • Classifying human brain tumors by lipid imaging with mass spectrometry

    Livia S. Eberlin;Isaiah Norton;Allison L. Dill;Alexandra J. Golby

  • Ambient mass spectrometry for the intraoperative molecular diagnosis of human brain tumors

    Livia S. Eberlin;Isaiah Norton;Daniel Orringer;Ian F. Dunn

  • Robust nonrigid registration to capture brain shift from intraoperative MRI

    O. Clatz;H. Delingette;I.-F. Talos;A.J. Golby

  • Memory encoding in Alzheimer's disease: an fMRI study of explicit and implicit memory.

    Alexandra Golby;Gerald Silverberg;Elizabeth Race;Susan Gabrieli

  • Neuronavigation in the surgical management of brain tumors: current and future trends

    Daniel A Orringer;Alexandra Golby;Ferenc Jolesz

  • Intraoperative mass spectrometry mapping of an onco-metabolite to guide brain tumor surgery

    Sandro Santagata;Livia S. Eberlin;Isaiah Norton;David Calligaris

  • Memory lateralization in medial temporal lobe epilepsy assessed by functional MRI.

    Alexandra J. Golby;Russell A. Poldrack;Judy Illes;David Chen

  • GBM Volumetry using the 3D Slicer Medical Image Computing Platform

    Jan Egger;Tina Kapur;Andriy Fedorov;Steve Pieper

  • Practice guideline summary: Use of fMRI in the presurgical evaluation of patients with epilepsy Report of the Guideline Development, Dissemination, and Implementation Subcommittee of the American Academy of Neurology

    Jerzy P. Szaflarski;David Gloss;Jeffrey R. Binder;William D. Gaillard

  • Functional brain mapping and its applications to neurosurgery.

    Suzanne Tharin;Alexandra Golby

  • White matter tractography for neurosurgical planning: A topography-based review of the current state of the art.

    Walid I. Essayed;Fan Zhang;Prashin Unadkat;G. Rees Cosgrove

  • Non-rigid alignment of pre-operative MRI, fMRI, and DT-MRI with intra-operative MRI for enhanced visualization and navigation in image-guided neurosurgery.

    Neculai Archip;Olivier Clatz;Stephen Whalen;Daniel F. Kacher

  • Monoclonal antibodies to murine CD3 epsilon define distinct epitopes, one of which may interact with CD4 during T cell activation.

    P Portoles;J Rojo;A Golby;M Bonneville

  • Defining language networks from resting-state fMRI for surgical planning--a feasibility study.

    Yanmei Tie;Laura Rigolo;Isaiah Hakim Norton;Isaiah Hakim Norton;Raymond Y Huang;Raymond Y Huang

  • Tract-based morphometry for white matter group analysis.

    Lauren J. O'Donnell;Carl-Fredrik Westin;Alexandra J. Golby

  • The DTI Challenge: Toward Standardized Evaluation of Diffusion Tensor Imaging Tractography for Neurosurgery

    Sonia Pujol;William Wells;Carlo Pierpaoli;Caroline Brun

  • Morphological Characteristics of Brain Tumors Causing Seizures

    Jong Woo Lee;Patrick Yung Chih Wen;Shelley Hurwitz;Peter McLaren Black

Frequent Co-Authors

Ron Kikinis
Ron Kikinis Brigham and Women's Hospital
Ferenc A. Jolesz
Ferenc A. Jolesz Brigham and Women's Hospital
Peter McL. Black
Peter McL. Black University of British Columbia
Yogesh Rathi
Yogesh Rathi Brigham and Women's Hospital
Carl-Fredrik Westin
Carl-Fredrik Westin Brigham and Women's Hospital
Keith L. Ligon
Keith L. Ligon Harvard University
Mark D. Johnson
Mark D. Johnson University of Massachusetts Chan Medical School
Steve Pieper
Steve Pieper Brigham and Women's Hospital
Patrick Y. Wen
Patrick Y. Wen Harvard University

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