World's Best Scientists 2026 revealed!
Kirsten I. Taylor

Kirsten I. Taylor

D-Index & Metrics

Psychology

D-Index
39
Citations
4501
World Ranking
8671
National Ranking
99

Neuroscience

D-Index
41
Citations
4760
World Ranking
7951
National Ranking
182

Kirsten I. Taylor 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 Kirsten I. Taylor 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: 85 publications — 10th percentile

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

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

Kirsten I. Taylor 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 Kirsten I. Taylor 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: 41 D-Index — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Overview

Kirsten I. Taylor is affiliated with Roche (Switzerland) in Switzerland and has a primary research focus in Medicine, with a specialization in Neurology. Their work spans several related subfields including Cognitive Neuroscience, Physiology, Psychiatry and Mental Health, and Cellular and Molecular Neuroscience.

The scientist's main research topics include:

  • Parkinson's Disease Mechanisms and Treatments
  • Neurological disorders and treatments
  • Dementia and Cognitive Impairment Research
  • Nuclear Receptors and Signaling
  • Autism Spectrum Disorder Research
  • Voice and Speech Disorders
  • Botulinum Toxin and Related Neurological Disorders

Kirsten I. Taylor has contributed to the following recent papers:

  • "Trial of Prasinezumab in Early-Stage Parkinson's Disease", 2022, published in New England Journal of Medicine
  • "Outcome measures based on digital health technology sensor data: data- and patient-centric approaches", 2020, published in npj Digital Medicine
  • "Reliability and validity of the Roche PD Mobile Application for remote monitoring of early Parkinson's disease", 2022, published in Scientific Reports
  • "Prasinezumab slows motor progression in rapidly progressing early-stage Parkinson's disease", 2024, published in Nature Medicine
  • "A Phase II Study to Evaluate the Safety and Efficacy of Prasinezumab in Early Parkinson's Disease (PASADENA): Rationale, Design, and Baseline Data", 2021, published in Frontiers in Neurology

Their frequent co-authors include:

  • Gennaro Pagano
  • Ronald B. Postuma
  • Hanno Svoboda
  • Florian Lipsmeier
  • Tanya Simuni

Kirsten I. Taylor's research has been published predominantly in journals including:

  • Alzheimer s & Dementia
  • Movement Disorders
  • Neurology
  • npj Digital Medicine
  • bioRxiv (Cold Spring Harbor Laboratory)

Best Publications

  • Binding crossmodal object features in perirhinal cortex

    Kirsten I. Taylor;Helen E. Moss;Emmanuel A. Stamatakis;Lorraine K. Tyler

  • Evaluation of smartphone-based testing to generate exploratory outcome measures in a phase 1 Parkinson's disease clinical trial.

    Florian Lipsmeier;Kirsten I. Taylor;Timothy Kilchenmann;Detlef Wolf

  • From Perception to Conception: How Meaningful Objects Are Processed over Time

    Alex Clarke;Kirsten I. Taylor;Kirsten I. Taylor;Barry Devereux;Billi Randall

  • Adaptive behavior in autism: Minimal clinically important differences on the Vineland-II.

    C. H. Chatham;K. I. Taylor;T. Charman;X. Liogier D'ardhuy

  • Objects and categories: Feature statistics and object processing in the ventral stream

    Lorraine K. Tyler;Shannon Chiu;Jie Zhuang;Billi Randall

  • Improving the diagnostic accuracy of the Mini-Mental State Examination

    A U Monsch;N S Foldi;N S Foldi;D E Ermini-Fünfschilling;M Berres

  • A validation of the Mobil O Graph (version 12) ambulatory blood pressure monitor.

    Clare R. Jones;Kirsten Taylor;Philip Chowienczyk;Lucilla Poston

  • The evolution of meaning: Spatio-temporal dynamics of visual object recognition

    Alex Clarke;Kirsten I. Taylor;Lorraine K. Tyler

  • Clinical and dopamine transporter imaging characteristics of non-manifest LRRK2 and GBA mutation carriers in the Parkinson's Progression Markers Initiative (PPMI): a cross-sectional study

    Tanya Simuni;Liz Uribe;Hyunkeun Ryan Cho;Chelsea Caspell-Garcia

  • The 12 Years Preceding Mild Cognitive Impairment Due to Alzheimer's Disease: The Temporal Emergence of Cognitive Decline.

    Panagiota Mistridis;Sabine Krumm;Andreas U. Monsch;Manfred Berres

  • Conceptual structure: Towards an integrated neuro-cognitive account.

    Kirsten I. Taylor;Barry J. Devereux;Lorraine K. Tyler

  • Anatomic localization of the transentorhinal region of the perirhinal cortex

    Kirsten I. Taylor;Kirsten I. Taylor;Alphonse Probst

  • Early detection of Alzheimer’s disease with a total score of the German CERAD

    Michael M. Ehrensperger;Manfred Berres;Kirsten I. Taylor;Andreas U. Monsch

  • Medial perirhinal cortex disambiguates confusable objects.

    Sasa L. Kivisaari;Lorraine K. Tyler;Andreas U. Monsch;Andreas U. Monsch;Kirsten I. Taylor;Kirsten I. Taylor;Kirsten I. Taylor

  • Distinct neuroanatomical bases of episodic and semantic memory performance in Alzheimer’s disease

    Daniela I. Hirni;Sasa L. Kivisaari;Sasa L. Kivisaari;Andreas U. Monsch;Andreas U. Monsch;Kirsten I. Taylor;Kirsten I. Taylor

  • Hippocampal sclerosis dementia: a reappraisal

    Alphonse Probst;Kirsten I. Taylor;Kirsten I. Taylor;Markus Tolnay

  • Neural Basis of Semantic Memory: The conceptual structure account: A cognitive model of semantic memory and its neural instantiation

    Kirsten I. Taylor;Helen E. Moss;Lorraine K. Tyler

  • Neuropsychological assessment of severely demeted elderly: the severe cognitive impairment profile.

    Guerry M. Peavy;David P. Salmon;Valerie A. Rice;Douglas Galasko

  • Crossmodal integration of object features: Voxel-based correlations in brain-damaged patients

    Kirsten I. Taylor;Emmanuel A. Stamatakis;Lorraine K. Tyler

  • Screening properties of the German IQCODE with a two-year time frame in MCI and early Alzheimer's disease

    Michael M. Ehrensperger;Manfred Berres;Kirsten I. Taylor;Andreas U. Monsch

  • Clinical course of neuropathologically confirmed frontal-variant Alzheimer's disease.

    Kirsten I Taylor;Alphonse Probst;André R Miserez;Andreas U Monsch

Frequent Co-Authors

Andreas U. Monsch
Andreas U. Monsch University of Basel
Lorraine K. Tyler
Lorraine K. Tyler University of Cambridge
Peter Brugger
Peter Brugger University of Zurich
Ronald B. Postuma
Ronald B. Postuma McGill University
Alphonse Probst
Alphonse Probst University Hospital of Basel
Brit Mollenhauer
Brit Mollenhauer University of Göttingen
Christoph Stippich
Christoph Stippich University of Zurich
David P. Salmon
David P. Salmon University of California, San Diego
Anirvan Ghosh
Anirvan Ghosh Unity Biotechnology
Helen E. Moss
Helen E. Moss University of Cambridge

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