World's Best Scientists 2026 revealed!

D-Index & Metrics

Psychology

D-Index
37
Citations
7047
World Ranking
9123
National Ranking
917

Neuroscience

D-Index
37
Citations
7148
World Ranking
8723
National Ranking
653

Daniela Montaldi 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 Daniela Montaldi 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: 137 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Daniela Montaldi 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 Daniela Montaldi 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: 37 D-Index — 10th percentile

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

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

Overview

Daniela Montaldi is affiliated with the University of Manchester in the United Kingdom. Their research primarily focuses on neuroscience and medicine, with specialized interests spanning cognitive neuroscience, cellular and molecular neuroscience, psychiatry and mental health, nephrology, and radiology, nuclear medicine, and imaging.

The scientist's work covers a broad range of topics related to memory and neural mechanisms, memory processes and influences, neuroscience and neuropharmacology research, neural dynamics and brain function, dementia and cognitive impairment research, neural and behavioral psychology studies, and spatial neglect and hemispheric dysfunction.

Frequent co-authors collaborating with Daniela Montaldi include Alex Kafkas, Andrew R. Mayes, Darya Frank, Gemma Stringer, and Iracema Leroi. Their publication history is marked by contributions in several key venues, notably bioRxiv (Cold Spring Harbor Laboratory), Journal of Neuroscience, Scientific Reports, Cerebral Cortex, and Clinical Kidney Journal.

Significant recent papers published by Montaldi are:

  • Pattern Separation Underpins Expectation-Modulated Memory, 2020, Journal of Neuroscience
  • Thalamic-Medial Temporal Lobe Connectivity Underpins Familiarity Memory, 2020, Cerebral Cortex
  • Cognitive impairment in patients with moderate to severe chronic kidney disease: the Salford kidney cohort study, 2020, Clinical Kidney Journal
  • Mid to late-life scores of depression in the cognitively healthy are associated with cognitive status and Alzheimer's disease pathology at death, 2020, International Journal of Geriatric Psychiatry
  • Information content best characterises the hemispheric selectivity of the inferior parietal lobe: a meta-analysis, 2020, Scientific Reports

Montaldi has contributed extensively to the fields of cognitive neuroscience and memory research through 36 publications in neuroscience overall and 13 in medicine. Within subfields, the focus includes cognitive neuroscience with 29 contributions, cellular and molecular neuroscience with 5, psychiatry and mental health with 4, nephrology with 2, and radiology, nuclear medicine, and imaging with 2 publications.

Best Publications

  • Associative memory and the medial temporal lobes

    Andrew Mayes;Daniela Montaldi;Ellen Migo

  • Face processing impairments after encephalitis: amygdala damage and recognition of fear.

    Paul Broks;Paul Broks;Andrew W. Young;Elizabeth J. Maratos;Peter J. Coffey

  • The neural system that mediates familiarity memory.

    Daniela Montaldi;Tom J. Spencer;Neil Roberts;Andrew R. Mayes

  • A disproportionate role for the fornix and mammillary bodies in recall versus recognition memory

    Dimitris Tsivilis;Seralynne Denise Vann;Christine Denby;Neil Roberts

  • The role of recollection and familiarity in the functional differentiation of the medial temporal lobes.

    Daniela Montaldi;Andrew R. Mayes

  • Associative recognition in a patient with selective hippocampal lesions and relatively normal item recognition.

    Andrew R. Mayes;J. S. Holdstock;C. L. Isaac;D. Montaldi

  • Are mild head injuries as mild as we think? Neurobehavioral concomitants of chronic post-concussion syndrome

    Annette Sterr;Katherine A Herron;Chantal Hayward;Daniela Montaldi

  • Impaired recollection but spared familiarity in patients with extended hippocampal system damage revealed by 3 convergent methods

    Seralynne Denise Vann;Dimitris Tsivilis;Christine E. Denby;Joel R. Quamme

  • How do memory systems detect and respond to novelty

    Alexandros Kafkas;Daniela Montaldi

  • Induced gamma band responses: an early marker of memory encoding and retrieval.

    Thomas Gruber;Dimitris Tsivilis;Daniela Montaldi;Matthias M. Müller

  • Measuring recollection and familiarity: Improving the remember/know procedure

    Ellen M. Migo;Andrew R. Mayes;Daniela Montaldi

  • Measurements of regional cerebral blood flow and cognitive performance in Alzheimer's disease.

    D Montaldi;D N Brooks;J H McColl;D Wyper

  • Recognition memory strength is predicted by pupillary responses at encoding while fixation patterns distinguish recollection from familiarity

    Alexandros Kafkas;Daniela Montaldi

  • Memory for single items, word pairs, and temporal order of different kinds in a patient with selective hippocampal lesions

    A. R. Mayes;C. L. Isaac;J. S. Holdstock;N. M. Hunkin

  • Dissociation Between Recall and Recognition Memory Performance in an Amnesic Patient with Hippocampal Damage Following Carbon Monoxide Poisoning

    Christine Bastin;Martial Van der Linden;Annik Charnallet;Christine Denby

  • Familiarity and recollection produce distinct eye movement, pupil and medial temporal lobe responses when memory strength is matched.

    Alexandros Kafkas;Daniela Montaldi

  • Two separate, but interacting, neural systems for familiarity and novelty detection: A dual-route mechanism

    Alexandros Kafkas;Daniela Montaldi

  • Longitudinal changes in cognitive function and regional cerebral function in Alzheimer's disease: A SPECT blood flow study

    D.R.P. Brown;R. Hunter;D.J. Wyper;J. Patterson

  • Decision-making and trait impulsivity in bipolar disorder are associated with reduced prefrontal regulation of striatal reward valuation.

    Liam Mason;Noreen O’Sullivan;Daniela Montaldi;Richard P. Bentall

  • The contribution of familiarity to recognition memory is a function of test format when using similar foils

    Ellen Migo;Daniela Montaldi;Kenneth A. Norman;Joel Quamme

Frequent Co-Authors

Andrew R. Mayes
Andrew R. Mayes University of Manchester
Neil Roberts
Neil Roberts University of Edinburgh
Anna Barnes
Anna Barnes University College London
Thomas J. Spencer
Thomas J. Spencer Massachusetts General Hospital
Qiyong Gong
Qiyong Gong Sichuan University
John Patrick Aggleton
John Patrick Aggleton Cardiff University
Clare E. Mackay
Clare E. Mackay University of Oxford
Seralynne Denise Vann
Seralynne Denise Vann Cardiff University
Laura M. Parkes
Laura M. Parkes University of Manchester
Robin G. Morris
Robin G. Morris King's College London

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Related Online Degrees & Career Pathways

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Neuroscience is not only intellectually rewarding but also linked to lucrative career potential. Many STEM and health-related fields rank among the top paying degrees. Majors such as biomedical engineering and computer science, often pursued alongside or after neuroscience, are considered some of the most lucrative majors in the U.S.

Another key factor is affordability. Prospective students should consider online colleges that are budget-friendly and accept financial aid. This makes starting or advancing your neuroscience pathway more accessible and sustainable.

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