World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
57
Citations
12651
World Ranking
4326
National Ranking
197

Nicola Toschi 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 Nicola Toschi 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: 327 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Nicola Toschi 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 Nicola Toschi 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: 57 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Nicola Toschi is affiliated with the University of Rome Tor Vergata in Italy. Their research spans multiple disciplines primarily within Medicine and Neuroscience, with significant contributions to various subfields including Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Neurology, and Psychiatry and Mental health.

Their work is frequently published in a range of venues, reflecting a focus on neuroimaging, brain connectivity, and computational approaches in medical science. Notable publication venues include:

  • arXiv (Cornell University)
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Physica Medica
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Seminars in Cancer Biology

Nicola Toschi's main research topics cover:

  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Neural dynamics and brain function
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced MRI Techniques and Applications
  • Medical Imaging Techniques and Applications
  • Machine Learning in Healthcare

Among recent papers with considerable citations are:

  • Radiomics in breast cancer classification and prediction, 2020, Seminars in Cancer Biology
  • A Path Toward Precision Medicine for Neuroinflammatory Mechanisms in Alzheimer's Disease, 2020, Frontiers in Immunology
  • Omics sciences for systems biology in Alzheimer's disease: State-of-the-art of the evidence, 2021, Ageing Research Reviews
  • Ultrasound Neuromodulation: Mechanisms and the Potential of Multimodal Stimulation for Neuronal Function Assessment, 2020, Frontiers in Physics
  • The foundation and architecture of precision medicine in neurology and psychiatry, 2023, Trends in Neurosciences

The scientist collaborates frequently with several co-authors, who have collectively contributed to numerous publications. Key collaborators include:

  • Tommaso Boccato
  • Andrea Duggento
  • Allegra Conti
  • Luca Passamonti
  • Marianna Inglese

Best Publications

  • Chronic psychosocial stress and concomitant repetitive transcranial magnetic stimulation: effects on stress hormone levels and adult hippocampal neurogenesis

    Boldizsár Czéh;Tobias Welt;Anja K Fischer;Angelika Erhardt

  • Repetitive transcranial magnetic stimulation increases the release of dopamine in the mesolimbic and mesostriatal system.

    M.E Keck;T Welt;M.B Müller;A Erhardt

  • A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease.

    Simeon E. Spasov;Luca Passamonti;Andrea Duggento;Pietro Liò

  • Long-term repetitive transcranial magnetic stimulation increases the expression of brain-derived neurotrophic factor and cholecystokinin mRNA, but not neuropeptide tyrosine mRNA in specific areas of rat brain

    Marianne B Müller;Nicola Toschi;Adelheid E Kresse;Adelheid E Kresse;Anke Post

  • Radiomics in breast cancer classification and prediction.

    Allegra Conti;Andrea Duggento;Iole Indovina;Maria Guerrisi

  • Brain oxytocin inhibits the (re)activity of the hypothalamo-pituitary-adrenal axis in male rats: involvement of hypothalamic and limbic brain regions.

    Inga D Neumann;Simone A Krömer;Nicola Toschi;Karl Ebner

  • A Path Toward Precision Medicine for Neuroinflammatory Mechanisms in Alzheimer's Disease.

    Harald Hampel;Filippo Caraci;A Claudio Cuello;Giuseppe Caruso

  • Anxiolytic and Anti-Stress Effects of Brain Prolactin: Improved Efficacy of Antisense Targeting of the Prolactin Receptor by Molecular Modeling

    Luz Torner;Nicola Toschi;Agnes Pohlinger;Rainer Landgraf

  • Repetitive Transcranial Magnetic Stimulation (rTMS) in Major Depression: Relation between Efficacy and Stimulation Intensity

    Frank Padberg;Peter Zwanzger;Martin E Keck;Norbert Kathmann

  • Increased hypothalamic expression of prolactin in lactation: involvement in behavioural and neuroendocrine stress responses.

    Luz Torner;Nicola Toschi;Gabriel Nava;Carmen Clapp

  • Reduction of Hypothalamic Vasopressinergic Hyperdrive Contributes to Clinically Relevant Behavioral and Neuroendocrine Effects of Chronic Paroxetine Treatment in a Psychopathological Rat Model

    Martin E Keck;Tobias Welt;Marianne B Müller;Manfred Uhr

  • Relevance of Magnetic Resonance Imaging for Early Detection and Diagnosis of Alzheimer Disease

    Stefan J. Teipel;Michel Grothe;Simone Lista;Nicola Toschi

  • Acute transcranial magnetic stimulation of frontal brain regions selectively modulates the release of vasopressin, biogenic amines and amino acids in the rat brain

    Martin E. Keck;Inge Sillaber;Karl Ebner;Tobias Welt

  • Maternal defence as an emotional stressor in female rats: Correlation of neuroendocrine and behavioural parameters and involvement of brain oxytocin.

    Inga D. Neumann;Nicola Toschi;Frauke Ohl;Luz Torner

  • Surface-based morphometry reveals the neuroanatomical basis of the five-factor model of personality.

    Roberta Riccelli;Nicola Toschi;Salvatore Nigro;Antonio Terracciano

  • Neuroendocrine and behavioral effects of repetitive transcranial magnetic stimulation in a psychopathological animal model are suggestive of antidepressant-like effects.

    Martin E Keck;Tobias Welt;Anke Post;Marianne B Müller

  • The influence of respiration on brainstem and cardiovagal response to auricular vagus nerve stimulation: A multimodal ultrahigh-field (7T) fMRI study.

    Roberta Sclocco;Roberta Sclocco;Ronald G. Garcia;Norman W. Kettner;Kylie Isenburg

  • Revolution of Alzheimer Precision Neurology. Passageway of Systems Biology and Neurophysiology

    Harald Hampel;Nicola Toschi;Nicola Toschi;Claudio Babiloni;Filippo Baldacci

  • Unconditioned anxiety and social behaviour in two rat lines selectively bred for high and low anxiety-related behaviour.

    Markus S.H Henniger;Frauke Ohl;Sabine M Hölter;Petra Weißenbacher

  • Plasma amyloid β 40/42 ratio predicts cerebral amyloidosis in cognitively normal individuals at risk for Alzheimer's disease.

    Andrea Vergallo;Andrea Vergallo;Lucile Mégret;Simone Lista;Simone Lista;Enrica Cavedo;Enrica Cavedo

  • Dimensions of emotionality in a rat model of innate anxiety.

    Frauke Ohl;N. Toschi;A. Wigger;M. S. H. Henniger

Frequent Co-Authors

Luca Passamonti
Luca Passamonti University of Cambridge
Harald Hampel
Harald Hampel Eisai (United States)
Kaj Blennow
Kaj Blennow University of Gothenburg
Henrik Zetterberg
Henrik Zetterberg University of Gothenburg
Bruno Dubois
Bruno Dubois Université Paris Cité
Gaetano Valenza
Gaetano Valenza University of Pisa
Pietro Liò
Pietro Liò University of Cambridge
Inga D. Neumann
Inga D. Neumann University of Regensburg
Ubaldo Bonuccelli
Ubaldo Bonuccelli University of Pisa
Robert Nisticò
Robert Nisticò University of Rome Tor Vergata

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