World's Best Scientists 2026 revealed!

D-Index & Metrics

Psychology

D-Index
33
Citations
4705
World Ranking
10542
National Ranking
245

Benedetta Vai 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 Benedetta Vai 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: 132 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Benedetta Vai 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 Benedetta Vai 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: 33 D-Index — 10th percentile

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

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

Overview

Benedetta Vai is affiliated with IRCCS Ospedale San Raffaele in Italy. Their research spans multiple disciplines including medicine, neuroscience, and psychology. Within these areas, their work contributes notably to subfields such as clinical psychology, psychiatry and mental health, cognitive neuroscience, biological psychiatry, and experimental and cognitive psychology.

Their research topics include:

  • Tryptophan and brain disorders
  • Functional Brain Connectivity Studies
  • Mental Health Research Topics
  • Bipolar Disorder and Treatment
  • Long-Term Effects of COVID-19
  • Stress Responses and Cortisol
  • COVID-19 and Mental Health

Frequent co-authors collaborating with Benedetta Vai are:

  • Francesco Benedetti
  • Sara Poletti
  • Federico Calesella
  • Irene Bollettini
  • L. Fortaner-Uyà

The scientist publishes regularly in the following venues:

  • Neuroscience Applied
  • European Neuropsychopharmacology
  • European Psychiatry
  • Journal of Affective Disorders
  • Brain Behavior & Immunity - Health

Selected recent papers by Benedetta Vai include:

  • Mental disorders and risk of COVID-19-related mortality, hospitalisation, and intensive care unit admission: a systematic review and meta-analysis, 2021, The Lancet Psychiatry
  • Anxiety and depression in COVID-19 survivors: Role of inflammatory and clinical predictors, 2020, Brain Behavior and Immunity
  • All roads lead to the default-mode network-global source of DMN abnormalities in major depressive disorder, 2020, Neuropsychopharmacology
  • Long-term consequences of COVID-19 on cognitive functioning up to 6 months after discharge: role of depression and impact on quality of life, 2021, European Archives of Psychiatry and Clinical Neuroscience
  • Brain correlates of depression, post-traumatic distress, and inflammatory biomarkers in COVID-19 survivors: A multimodal magnetic resonance imaging study, 2021, Brain Behavior & Immunity - Health

Best Publications

  • Anxiety and depression in COVID-19 survivors: Role of inflammatory and clinical predictors.

    Mario Gennaro Mazza;Rebecca De Lorenzo;Caterina Conte;Sara Poletti

  • Mental disorders and risk of COVID-19-related mortality, hospitalisation, and intensive care unit admission: a systematic review and meta-analysis.

    Benedetta Vai;Mario Gennaro Mazza;Claudia Delli Colli;Marianne Foiselle

  • All roads lead to the default-mode network—global source of DMN abnormalities in major depressive disorder

    Andrea Scalabrini;Benedetta Vai;Sara Poletti;Stefano Damiani

  • Long-term consequences of COVID-19 on cognitive functioning up to 6 months after discharge: role of depression and impact on quality of life.

    Sara Poletti;Mariagrazia Palladini;Mario Gennaro Mazza;Rebecca De Lorenzo

  • Brain correlates of depression, post-traumatic distress, and inflammatory biomarkers in COVID-19 survivors: A multimodal magnetic resonance imaging study.

    Francesco Benedetti;Mariagrazia Palladini;Marco Paolini;Elisa Melloni

  • A peripheral inflammatory signature discriminates bipolar from unipolar depression: A machine learning approach

    Sara Poletti;Benedetta Vai;Mario Gennaro Mazza;Raffaella Zanardi

  • Cognitive performances associate with measures of white matter integrity in bipolar disorder.

    Sara Poletti;Irene Bollettini;Elena Mazza;Clara Locatelli

  • One-year mental health outcomes in a cohort of COVID-19 survivors

    Mario Gennaro Mazza;Mariagrazia Palladini;Rebecca De Lorenzo;Beatrice Bravi

  • Fronto-limbic disconnection in bipolar disorder

    D. Radaelli;G. Sferrazza Papa;B. Vai;S. Poletti

  • Predicting differential diagnosis between bipolar and unipolar depression with multiple kernel learning on multimodal structural neuroimaging.

    Benedetta Vai;Lorenzo Parenti;Irene Bollettini;Cristina Cara

  • Fronto-limbic effective connectivity as possible predictor of antidepressant response to SSRI administration

    Benedetta Vai;Benedetta Vai;Chiara Bulgarelli;Beata R. Godlewska;Philip J. Cowen

  • The functional connectome in obsessive-compulsive disorder: resting-state mega-analysis and machine learning classification for the ENIGMA-OCD consortium

    Unknown

  • Risk Perception and Media in Shaping Protective Behaviors: Insights From the Early Phase of COVID-19 Italian Outbreak.

    Benedetta Vai;Silvia Cazzetta;Davide Ghiglino;Lorenzo Parenti

  • Severe mental illness and European COVID-19 vaccination strategies.

    Livia J De Picker;Marisa Casanova Dias;Michael E Benros;Benedetta Vai

  • A Homer 1 gene variant influences brain structure and function, lithium effects on white matter, and antidepressant response in bipolar disorder: A multimodal genetic imaging study.

    Francesco Benedetti;Sara Poletti;Clara Locatelli;Elena Mazza

  • Higher baseline interleukin-1β and TNF-α hamper antidepressant response in major depressive disorder.

    Francesco Benedetti;Sara Poletti;Benedetta Vai;Mario Gennaro Mazza

  • Markers of neuroinflammation influence measures of cortical thickness in bipolar depression.

    Sara Poletti;Giovanni Leone;Thomas A. Hoogenboezem;Davide Ghiglino

  • Selective association of cytokine levels and kynurenine/tryptophan ratio with alterations in white matter microstructure in bipolar but not in unipolar depression

    Stefano Comai;Elisa Melloni;Cristina Lorenzi;Irene Bollettini

  • Adverse childhood experiences influence the detrimental effect of bipolar disorder and schizophrenia on cortico-limbic grey matter volumes.

    Sara Poletti;Benedetta Vai;Enrico Smeraldi;Roberto Cavallaro

  • Clock genes associate with white matter integrity in depressed bipolar patients.

    Irene Bollettini;Elisa Maria Teresa Melloni;Veronica Aggio;Sara Poletti

  • Abnormal cortico-limbic connectivity during emotional processing correlates with symptom severity in schizophrenia

    B. Vai;B. Vai;G. Sferrazza Papa;S. Poletti;D. Radaelli

  • Corticolimbic connectivity as a possible biomarker for bipolar disorder.

    Benedetta Vai;Irene Bollettini;Francesco Benedetti

  • Disruption of white matter integrity marks poor antidepressant response in bipolar disorder.

    Irene Bollettini;Sara Poletti;Clara Locatelli;Benedetta Vai

Frequent Co-Authors

Francesco Benedetti
Francesco Benedetti Vita-Salute San Raffaele University
Sara Poletti
Sara Poletti Vita-Salute San Raffaele University
Cristina Colombo
Cristina Colombo Vita-Salute San Raffaele University
Irene Bollettini
Irene Bollettini San Raffaele Hospital
Cristina Lorenzi
Cristina Lorenzi Vita-Salute San Raffaele University
Enrico Smeraldi
Enrico Smeraldi Vita-Salute San Raffaele University
Paolo Fusar-Poli
Paolo Fusar-Poli King's College London
Igor Branchi
Igor Branchi Istituto Superiore di Sanità
Andrea Falini
Andrea Falini Vita-Salute San Raffaele University
Raffaella Zanardi
Raffaella Zanardi Vita-Salute San Raffaele University

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