World's Best Scientists 2026 revealed!
Daniela Caldirola

Daniela Caldirola

D-Index & Metrics

Psychology

D-Index
31
Citations
3053
World Ranking
11241
National Ranking
266

Daniela Caldirola publication distribution in Psychology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Psychology in 2026. The highlighted bar marks where Daniela Caldirola sits on this spectrum.

31–40 publications: 6 scientists 41–50 publications: 52 scientists 51–60 publications: 138 scientists 61–70 publications: 299 scientists 71–80 publications: 461 scientists 81–90 publications: 605 scientists 91–100 publications: 713 scientists 101–110 publications: 736 scientists 111–120 publications: 686 scientists 121–130 publications: 670 scientists 131–140 publications: 644 scientists 141–150 publications: 597 scientists 151–160 publications: 576 scientists 161–170 publications: 477 scientists 171–180 publications: 450 scientists 181–190 publications: 397 scientists 191–200 publications: 343 scientists 201–210 publications: 328 scientists 211–220 publications: 313 scientists 221–230 publications: 283 scientists 231–240 publications: 226 scientists 241–250 publications: 196 scientists 251–260 publications: 201 scientists 261–270 publications: 171 scientists 271–280 publications: 151 scientists 281–290 publications: 139 scientists 291–300 publications: 113 scientists 301–310 publications: 102 scientists 311–320 publications: 100 scientists 321–330 publications: 76 scientists 331–340 publications: 92 scientists 341–350 publications: 85 scientists 351–360 publications: 69 scientists 361–370 publications: 71 scientists 371–380 publications: 63 scientists 381–390 publications: 58 scientists 391–400 publications: 57 scientists 401–410 publications: 43 scientists 411–420 publications: 33 scientists 421–430 publications: 50 scientists 431–440 publications: 41 scientists 441–450 publications: 32 scientists 451–460 publications: 27 scientists 461–470 publications: 28 scientists 471–480 publications: 25 scientists 481–490 publications: 28 scientists 491–500 publications: 20 scientists 501–510 publications: 23 scientists 511–520 publications: 26 scientists 521–530 publications: 17 scientists 531–540 publications: 21 scientists 541–550 publications: 14 scientists 551–560 publications: 16 scientists 561–570 publications: 10 scientists 571–580 publications: 22 scientists 581–590 publications: 9 scientists 591–600 publications: 14 scientists 601–610 publications: 9 scientists 611–620 publications: 11 scientists 621–630 publications: 4 scientists 631–640 publications: 7 scientists 641–650 publications: 5 scientists 651–660 publications: 10 scientists 661–670 publications: 8 scientists 671–680 publications: 8 scientists 681–690 publications: 4 scientists 691–700 publications: 3 scientists 701–704 publications: 4 scientists 705+ publications: 100 scientists
31 publications 705+

This scientist: 123 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 705 publications or more.

Daniela Caldirola D-index placement in Psychology in 2026

The chart shows the D-index (discipline H-index) distribution of Psychology scientists ranked by Research.com in 2026. The highlighted bar marks where Daniela Caldirola sits on this spectrum.

30–31 D-Index: 398 scientists 32–33 D-Index: 702 scientists 34–35 D-Index: 671 scientists 36–37 D-Index: 659 scientists 38–39 D-Index: 641 scientists 40–41 D-Index: 671 scientists 42–43 D-Index: 617 scientists 44–45 D-Index: 558 scientists 46–47 D-Index: 495 scientists 48–49 D-Index: 487 scientists 50–51 D-Index: 445 scientists 52–53 D-Index: 390 scientists 54–55 D-Index: 408 scientists 56–57 D-Index: 345 scientists 58–59 D-Index: 325 scientists 60–61 D-Index: 321 scientists 62–63 D-Index: 248 scientists 64–65 D-Index: 290 scientists 66–67 D-Index: 218 scientists 68–69 D-Index: 219 scientists 70–71 D-Index: 215 scientists 72–73 D-Index: 183 scientists 74–75 D-Index: 169 scientists 76–77 D-Index: 132 scientists 78–79 D-Index: 137 scientists 80–81 D-Index: 120 scientists 82–83 D-Index: 112 scientists 84–85 D-Index: 86 scientists 86–87 D-Index: 101 scientists 88–89 D-Index: 83 scientists 90–91 D-Index: 77 scientists 92–93 D-Index: 70 scientists 94–95 D-Index: 78 scientists 96–97 D-Index: 58 scientists 98–99 D-Index: 53 scientists 100–101 D-Index: 57 scientists 102–103 D-Index: 48 scientists 104–105 D-Index: 53 scientists 106–107 D-Index: 46 scientists 108–109 D-Index: 24 scientists 110–111 D-Index: 35 scientists 112–113 D-Index: 27 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 31 scientists 118–119 D-Index: 22 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 24 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 11 scientists 128–129 D-Index: 19 scientists 130–131 D-Index: 10 scientists 132–133 D-Index: 16 scientists 134–135 D-Index: 10 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 5 scientists 142–143 D-Index: 12 scientists 144+ D-Index: 98 scientists
30 D-Index 144+

This scientist: 31 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 144 D-Index or more.

Overview

Daniela Caldirola is affiliated with Humanitas University in Italy and works primarily within the field of Psychology. Their research spans multiple subfields, including Experimental and Cognitive Psychology, Clinical Psychology, Psychiatry and Mental Health, Cognitive Neuroscience, and Biological Psychiatry.

The main topics addressed in their work incorporate Anxiety, Depression, Psychometrics, Treatment, and Cognitive Processes. Additionally, their contributions cover Child and Adolescent Psychosocial and Emotional Development, Mental Health Research Topics, COVID-19 and Mental Health, Tryptophan and brain disorders, and Sleep and related disorders including Sleep and Wakefulness Research.

Among recent notable publications are:

  • First-onset major depression during the COVID-19 pandemic: A predictive machine learning model, 2022, Journal of Affective Disorders
  • Human-Induced Pluripotent Stem Cell Technology: Toward the Future of Personalized Psychiatry, 2022, Journal of Personalized Medicine
  • Personalized Psychiatry and Depression: The Role of Sociodemographic and Clinical Variables, 2020, Psychiatry Investigation
  • Impact of respiratory protective devices on respiration: Implications for panic vulnerability during the COVID-19 pandemic, 2020, Journal of Affective Disorders
  • Relapse prevention in panic disorder with pharmacotherapy: where are we now?, 2020, Expert Opinion on Pharmacotherapy

Frequent co-authors contributing significantly alongside Daniela Caldirola include:

  • Giampaolo Perna
  • Silvia Daccò
  • Alessandra Alciati
  • Massimiliano Grassi
  • Francesco Cuniberti

Research dissemination has occurred in a range of venues, with repeated appearances in:

  • Zenodo (CERN European Organization for Nuclear Research)
  • European Psychiatry
  • Journal of Affective Disorders
  • Sleep Medicine
  • Journal of Personalized Medicine

This profile reflects a research trajectory that integrates clinical and experimental approaches, addressing mental health challenges through both traditional and innovative methodologies, including predictive modeling and stem cell technologies.

Best Publications

  • Approximate Entropy of Respiratory Patterns in Panic Disorder

    Daniela Caldirola;Laura Bellodi;Andrea Caumo;Giovanni Migliarese

  • CO2-Induced Panic Attacks: A Twin Study

    Laura Bellodi;Giampaolo Perna;Daniela Caldirola;Cinzia Arancio

  • Heart rate variability: Can it serve as a marker of mental health resilience?: Special Section on "Translational and Neuroscience Studies in Affective Disorders" Section Editor, Maria Nobile MD, PhD.

    Giampaolo Perna;Alice Riva;Archie Defillo;Erika Sangiorgio

  • Panic disorder: the role of the balance system

    Giampaolo Perna;Alpini Dario;Daniela Caldirola;Barozzi Stefania

  • A Novel Ensemble-Based Machine Learning Algorithm to Predict the Conversion From Mild Cognitive Impairment to Alzheimer's Disease Using Socio-Demographic Characteristics, Clinical Information, and Neuropsychological Measures.

    Massimiliano Grassi;Nadine Rouleaux;Daniela Caldirola;David Loewenstein;David Loewenstein

  • The 35% CO2 challenge test in patients with social phobia

    Daniela Caldirola;Giampaolo Perna;Cinzia Arancio;Angelo Bertani

  • Are Anxiety Disorders Associated with Accelerated Aging? A Focus on Neuroprogression

    Giampaolo Perna;Giuseppe Iannone;Alessandra Alciati;Daniela Caldirola

  • A comparison of citalopram and paroxetine in the treatment of panic disorder: a randomized, single-blind study

    G. Perna;A. Bertani;D. Caldirola;E. Smeraldi

  • Family history of panic disorder and hypersensitivity to CO2 in patients with panic disorder

    Giampaolo Perna;Angelo Bertani;Daniela Caldirola;Laura Bellodi

  • The revolution of personalized psychiatry: will technology make it happen sooner?

    G. Perna;M. Grassi;D. Caldirola;Charles Nemeroff

  • Panic disorder: from respiration to the homeostatic brain.

    Giampaolo Perna;Daniela Caldirola;Laura Bellodi

  • Long-Term Pharmacological Treatments of Anxiety Disorders: An Updated Systematic Review

    Giampaolo Perna;Giampaolo Perna;Alessandra Alciati;Alice Riva;Wilma Micieli

  • Panic attacks: a twin study

    Giampaolo Perna;Daniela Caldirola;Cinzia Arancio;Laura Bellodi

  • Baseline respiratory parameters in panic disorder: a meta-analysis.

    Massimiliano Grassi;Daniela Caldirola;Giovanna Vanni;Giuseppe Guerriero

  • Antipanic drug modulation of 35% CO2 hyperreactivity and short-term treatment outcome.

    Giampaolo Perna;Angelo Bertani;Daniela Caldirola;Angela Gabriele

  • Hypersensitivity to inhalation of carbon dioxide and panic attacks

    Giampaolo Perna;Angela Gabriele;Daniela Caldirola;Laura Bellodi

  • Pharmacologic effect of imipramine, paroxetine, and sertraline on 35% carbon dioxide hypersensitivity in panic patients: A double-blind, random, placebo-controlled study

    Angelo Bertani;Giampaolo Perna;Cinzia Arancio;Daniela Caldirola

  • A Clinically-Translatable Machine Learning Algorithm for the Prediction of Alzheimer's Disease Conversion in Individuals with Mild and Premild Cognitive Impairment.

    Massimiliano Grassi;Giampaolo Perna;Daniela Caldirola;Koen Schruers

  • Comparison of the treatment with paroxetine and reboxetine in panic disorder: a randomized, single-blind study.

    Angelo Bertani;G. Perna;G. Migliarese;D. Di Pasquale

  • Language of dyspnea in panic disorder.

    Giampaolo Perna;Daniela Caldirola;Caterina Namia;Michele Cucchi

Frequent Co-Authors

Giampaolo Perna
Giampaolo Perna Humanitas University
Laura Bellodi
Laura Bellodi Vita-Salute San Raffaele University
Koen Schruers
Koen Schruers Maastricht University
David A. Loewenstein
David A. Loewenstein University of Miami
Fabiola Atzeni
Fabiola Atzeni University of Messina
Piercarlo Sarzi-Puttini
Piercarlo Sarzi-Puttini University of Milan
Michel Dumontier
Michel Dumontier Maastricht University
Antonio Egidio Nardi
Antonio Egidio Nardi Federal University of Rio de Janeiro
Maria Nobile
Maria Nobile Eugenio Medea
Roberto Giorda
Roberto Giorda MRC Laboratory of Molecular Biology

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