World's Best Scientists 2026 revealed!
Suneil K. Kalia

Suneil K. Kalia

D-Index & Metrics

Neuroscience

D-Index
46
Citations
9349
World Ranking
6646
National Ranking
393

Suneil K. Kalia 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 Suneil K. Kalia 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: 219 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Suneil K. Kalia 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 Suneil K. Kalia 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: 46 D-Index — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Overview

Suneil K. Kalia is affiliated with the University of Toronto in Canada. Their research primarily spans the fields of Medicine and Neuroscience, with significant contributions to subfields such as Neurology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, and Molecular Biology.

The main topics covered in their work include neurological disorders and treatments, with a strong focus on Parkinson's disease mechanisms and treatments. Other areas of research include neuroscience and neural engineering, genetic neurodegenerative diseases, neural dynamics and brain function, transcranial magnetic stimulation studies, and functional brain connectivity studies.

Notable recent papers authored or co-authored by Kalia include:

  • Predicting optimal deep brain stimulation parameters for Parkinson's disease using functional MRI and machine learning (2021, Nature Communications)
  • Early-onset impairment of the ubiquitin-proteasome system in dopaminergic neurons caused by α-synuclein (2020, Acta Neuropathologica Communications)
  • Neurons detect cognitive boundaries to structure episodic memories in humans (2022, Nature Neuroscience)
  • Probabilistic Mapping of Deep Brain Stimulation: Insights from 15 Years of Therapy (2020, Annals of Neurology)
  • Bilateral Focused Ultrasound Thalamotomy for Essential Tremor (BEST-FUS Phase 2 Trial) (2021, Movement Disorders)

Kalia frequently collaborates with several researchers, including Andrés M. Lozano, Alfonso Fasano, Mojgan Hodaie, Jürgen Germann, and Alexandre Boutet. Their work appears often in specialized journals and venues such as bioRxiv (Cold Spring Harbor Laboratory), Movement Disorders Clinical Practice, Brain Stimulation, Movement Disorders, and the Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques.

Best Publications

  • Hypersensitivity of DJ-1-deficient mice to 1-methyl-4-phenyl-1,2,3,6-tetrahydropyrindine (MPTP) and oxidative stress

    Raymond H. Kim;Patrice D. Smith;Hossein Aleyasin;Shawn Hayley

  • NMDA receptors in clinical neurology: excitatory times ahead

    Lorraine V Kalia;Suneil K Kalia;Michael W Salter

  • Unbiased screen for interactors of leucine-rich repeat kinase 2 supports a common pathway for sporadic and familial Parkinson disease

    A. Beilina;I. N. Rudenko;A. Kaganovich;L. Civiero

  • α-Synuclein oligomers and clinical implications for Parkinson disease.

    Lorraine V. Kalia;Suneil K. Kalia;Pamela J. McLean;Andres M. Lozano

  • Disease-modifying strategies for Parkinson's disease.

    Lorraine V. Kalia;Suneil K. Kalia;Suneil K. Kalia;Anthony E. Lang

  • Low-intensity ultrasound neuromodulation: An overview of mechanisms and emerging human applications.

    Anton Fomenko;Clemens Neudorfer;Robert F. Dallapiazza;Suneil K. Kalia

  • Predicting optimal deep brain stimulation parameters for Parkinson’s disease using functional MRI and machine learning

    Alexandre Boutet;Alexandre Boutet;Radhika Madhavan;Gavin J. B. Elias;Suresh E. Joel

  • BAG5 Inhibits Parkin and Enhances Dopaminergic Neuron Degeneration

    Suneil K. Kalia;Sang Lee;Patrice D. Smith;Li Liu

  • Outcomes from stereotactic surgery for essential tremor

    Robert Francis Dallapiazza;Darrin J Lee;Philippe De Vloo;Anton Fomenko

  • Systematic review of hardware-related complications of Deep Brain Stimulation: Do new indications pose an increased risk?

    Onanong Jitkritsadakul;Roongroj Bhidayasiri;Suneil K. Kalia;Mojgan Hodaie

  • Neurons detect cognitive boundaries to structure episodic memories in humans

    Unknown

  • Ubiquitinylation of α-synuclein by carboxyl terminus Hsp70-interacting protein (CHIP) is regulated by Bcl-2-associated athanogene 5 (BAG5).

    Lorraine V. Kalia;Lorraine V. Kalia;Suneil K. Kalia;Suneil K. Kalia;Hien Chau;Andres M. Lozano

  • Deep brain stimulation for Parkinson's disease and other movement disorders.

    Suneil K. Kalia;Tejas Sankar;Andres M. Lozano

  • Stop-related subthalamic beta activity indexes global motor suppression in Parkinson's disease.

    Jan R. Wessel;Jan R. Wessel;Ayda Ghahremani;Kaviraja Udupa;Utpal Saha

  • Physiological mechanisms of thalamic ventral intermediate nucleus stimulation for tremor suppression.

    Luka Milosevic;Luka Milosevic;Suneil K Kalia;Suneil K Kalia;Mojgan Hodaie;Mojgan Hodaie;Andres M Lozano;Andres M Lozano

  • Neuronal inhibition and synaptic plasticity of basal ganglia neurons in Parkinson's disease.

    Luka Milosevic;Luka Milosevic;Suneil K Kalia;Suneil K Kalia;Mojgan Hodaie;Mojgan Hodaie;Andres M Lozano;Andres M Lozano

  • Early-onset impairment of the ubiquitin-proteasome system in dopaminergic neurons caused by α-synuclein

    Chris McKinnon;Mitchell L. De Snoo;Elise Gondard;Clemens Neudorfer

  • Deep brain stimulation for Parkinson’s disease: meta-analysis of results of randomized trials at varying lengths of follow-up

    Alireza Mansouri;Alireza Mansouri;Shervin Taslimi;Jetan H Badhiwala;Christopher D Witiw

  • Molecular chaperones as rational drug targets for Parkinson's disease therapeutics.

    S. K. Kalia;L. V. Kalia;L. V. Kalia;P. J. McLean

  • A systematic review of deep brain stimulation for the treatment of drug-resistant epilepsy in childhood

    Han Yan;Eric Toyota;Melanie Anderson;Taylor J Abel

  • α-Synuclein and Lewy pathology in Parkinson's disease

    Lorraine V. Kalia;Suneil K. Kalia

  • Rapid Modulation of Protein Expression in the Rat Hippocampus Following Deep Brain Stimulation of the Fornix.

    Elise Gondard;Hien N. Chau;Amandeep Mann;Travis S. Tierney

  • Parkinson hastalığı ve diğer hareket bozuklukları için derin beyin stimülasyonu

    Suneil K. Kalia;Tejas Sankar ve Andres M. Lozano

  • Deep brain stimulation for pediatric dystonia: a meta-analysis with individual participant data.

    Lior M Elkaim;Naif M Alotaibi;Alissa Sigal;Haifa M Alotaibi

  • Direct detection of alpha synuclein oligomers in vivo

    Hemi Dimant;Suneil K Kalia;Suneil K Kalia;Lorraine V Kalia;Lorraine V Kalia;Liya N Zhu

Frequent Co-Authors

Andres M. Lozano
Andres M. Lozano University of Toronto
Mojgan Hodaie
Mojgan Hodaie University of Toronto
Alfonso Fasano
Alfonso Fasano University Health Network
William D. Hutchison
William D. Hutchison University of Toronto
Robert Chen
Robert Chen University Health Network
Clement Hamani
Clement Hamani University of Toronto
Nir Lipsman
Nir Lipsman Sunnybrook Health Science Centre
Anthony E. Lang
Anthony E. Lang University of Toronto
Mark Bernstein
Mark Bernstein Toronto Western Hospital
David J. Mikulis
David J. Mikulis University Health Network

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Related Online Degrees & Career Pathways

Studying neuroscience can open doors to a variety of career paths—not just in research or medicine, but also in counseling, therapy, and psychology. Many students interested in the human brain are drawn to helping professions, where understanding behavior and cognition is key.

If you want a flexible learning option, several accredited programs now offer online degrees. For example, you can consider cacrep-accredited online counseling programs to prepare for mental health counseling roles. Those searching for more specialized options might explore an online counseling degree or even pursue an lmft degree online, which trains you to become a licensed marriage and family therapist.

For a broader foundation in understanding human behavior, earning a masters of psychology online can also be an excellent complement to neuroscience studies. These degrees can be stepping stones to roles in clinical practice, therapy, research, or academia, expanding your potential career pathways in the mental health and neuroscience fields.

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