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D-Index & Metrics

Neuroscience

D-Index
78
Citations
20970
World Ranking
1770
National Ranking
99

Lisa M. Saksida 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 Lisa M. Saksida 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: 201 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Lisa M. Saksida 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 Lisa M. Saksida 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: 78 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2020 - Fellow of the Royal Society of Canada Academy of Science

Overview

Lisa M. Saksida is affiliated with the University of Western Ontario in Canada and has contributed extensively to the field of neuroscience. Their research spans various subfields including molecular biology, cellular and molecular neuroscience, cognitive neuroscience, neurology, and cell biology.

Their primary research interests focus on topics such as memory and neural mechanisms, stress responses and cortisol, neuroinflammation and neurodegeneration mechanisms, neuroendocrine regulation and behavior, neural dynamics and brain function, receptor mechanisms and signaling, and photoreceptor and optogenetics research.

The following papers represent some of their recent contributions:

  • An optimized acetylcholine sensor for monitoring in vivo cholinergic activity, 2020, Nature Methods
  • Repetitive mild traumatic brain injury in mice triggers a slowly developing cascade of long-term and persistent behavioral deficits and pathological changes, 2021, Acta Neuropathologica Communications
  • Chondroitin 6-sulphate is required for neuroplasticity and memory in ageing, 2021, Molecular Psychiatry
  • Touchscreen cognitive testing: Cross-species translation and co-clinical trials in neurodegenerative and neuropsychiatric disease, 2021, Neurobiology of Learning and Memory
  • New frontiers in translational research: Touchscreens, open science, and the mouse translational research accelerator platform, 2020, Genes Brain & Behavior

Lisa M. Saksida frequently publishes in journals such as Alzheimer's & Dementia, bioRxiv (Cold Spring Harbor Laboratory), Zenodo (CERN European Organization for Nuclear Research), Translational Psychiatry, and Genes Brain & Behavior.

The scientist has collaborated extensively with peers including Timothy J. Bussey, Marco A. M. Prado, Vânia F. Prado, and Flávio H. Beraldo.

Award recognition includes being named a Fellow of the Royal Society of Canada in 2020 for contributions categorized under the Academy of Science.

Best Publications

  • A Functional Role for Adult Hippocampal Neurogenesis in Spatial Pattern Separation

    C. D. Clelland;M. Choi;C. Romberg;G. D. Clemenson

  • Double Dissociation between the Effects of Peri-Postrhinal Cortex and Hippocampal Lesions on Tests of Object Recognition and Spatial Memory: Heterogeneity of Function within the Temporal Lobe

    Boyer D. Winters;Suzanna E. Forwood;Rosemary A. Cowell;Lisa M. Saksida

  • Running enhances spatial pattern separation in mice

    David J. Creer;Carola Romberg;Lisa M. Saksida;Henriette van Praag

  • Object recognition memory: neurobiological mechanisms of encoding, consolidation and retrieval.

    Boyer D. Winters;Lisa M. Saksida;Timothy J. Bussey

  • Visual Perception and Memory: A New View of Medial Temporal Lobe Function in Primates and Rodents ∗

    Elisabeth A. Murray;Timothy J. Bussey;Lisa M. Saksida

  • The touchscreen operant platform for testing learning and memory in rats and mice

    Alexa E Horner;Christopher J Heath;Martha Hvoslef-Eide;Brianne A Kent

  • An optimized acetylcholine sensor for monitoring in vivo cholinergic activity.

    Miao Jing;Yuexuan Li;Yuexuan Li;Jianzhi Zeng;Jianzhi Zeng;Pengcheng Huang

  • Perirhinal cortex resolves feature ambiguity in complex visual discriminations

    Timothy J. Bussey;Lisa M. Saksida;Elisabeth A. Murray

  • Perceptual deficits in amnesia: challenging the medial temporal lobe 'mnemonic' view.

    Andy C. H. Lee;Tim J. Bussey;Elisabeth A. Murray;Lisa M. Saksida

  • The touchscreen operant platform for assessing executive function in rats and mice

    Adam C Mar;Alexa E Horner;Simon R O Nilsson;Johan Alsiö

  • The Touchscreen Cognitive Testing Method for Rodents: How to Get the Best out of Your Rat

    Timothy J. Bussey;Tina L. Padain;Elizabeth A. Skillings;Boyer D. Winters

  • Functional specialization in the human medial temporal lobe

    Morgan D. Barense;Timothy J. Bussey;Andy C. H. Lee;Timothy T. Rogers

  • New translational assays for preclinical modelling of cognition in schizophrenia: the touchscreen testing method for mice and rats

    T.J. Bussey;A. Holmes;L. Lyon;A.C. Mar

  • TDP-43 gains function due to perturbed autoregulation in a Tardbp knock-in mouse model of ALS-FTD.

    Matthew A. White;Matthew A. White;Eosu Kim;Eosu Kim;Amanda Duffy;Robert Adalbert

  • Effects of environmental enrichment and voluntary exercise on neurogenesis, learning and memory, and pattern separation: BDNF as a critical variable?

    Pedro Alejandro Bekinschtein;Charlotte A. Oomen;Lisa M. Saksida;Timothy J. Bussey

  • Synaptic scaffold evolution generated components of vertebrate cognitive complexity

    Jess Nithianantharajah;Jess Nithianantharajah;Noboru H Komiyama;Noboru H Komiyama;Andrew McKechanie;Mandy Johnstone

  • Impaired Fear Extinction Learning and Cortico-Amygdala Circuit Abnormalities in a Common Genetic Mouse Strain

    Kathryn Hefner;Nigel Whittle;Jaynann Juhasz;Maxine Norcross

  • Memory, perception, and the ventral visual-perirhinal-hippocampal stream: thinking outside of the boxes.

    T.J. Bussey;L.M. Saksida

  • The organization of visual object representations: a connectionist model of effects of lesions in perirhinal cortex.

    Timothy J. Bussey;Lisa M. Saksida

  • Impairments in visual discrimination after perirhinal cortex lesions: testing 'declarative' vs. 'perceptual-mnemonic' views of perirhinal cortex function.

    Timothy J. Bussey;Lisa M. Saksida;Elisabeth A. Murray

  • Towards an understanding of the mechanisms of weak central coherence effects: experiments in visual configural learning and auditory perception.

    Kate Plaisted;Lisa Saksida;José Alcántara;Emma Weisblatt

Frequent Co-Authors

Timothy J. Bussey
Timothy J. Bussey University of Western Ontario
Andrew Holmes
Andrew Holmes National Institutes of Health
Boyer D. Winters
Boyer D. Winters University of Guelph
Trevor W. Robbins
Trevor W. Robbins University of Cambridge
Seth G. N. Grant
Seth G. N. Grant University of Edinburgh
Elisabeth A. Murray
Elisabeth A. Murray National Institutes of Health
Vania F. Prado
Vania F. Prado University of Western Ontario
Marco A. M. Prado
Marco A. M. Prado University of Western Ontario
Yulong Li
Yulong Li Peking University
Morgan D. Barense
Morgan D. Barense University of Toronto

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