Massimo Pasquini

3.5k citations
103 papers · 2.3k indexed · h-index 27

Massimo Pasquini

98 papers receiving 2.2k citations

Peers

Massimo Pasquini
Comparison fields: 5 of 113
  • Biological Psychiatry 445
  • Behavioral Neuroscience 318
  • Neurology 539
  • Psychiatry and Mental health 441
  • Clinical Psychology 564
Replace Amirhossein Modabbernia with:
Amirhossein Modabbernia Iran
Giulia Perini Italy
Erica M. Richards United States
Rose C. van der Mast Netherlands
Nilay Hepgul United Kingdom
Bruce R. Lawford Australia
Kunitoshi Kamijima Japan
Stefano Baroni Italy
Elisabet Vilella Spain
Nadja P. Marić Serbia
Massimo Pasquini relative to Amirhossein Modabbernia Iran Amirhossein Modabbernia's profile →
Citations per field
00.5×2.9×
Amirhossein Modabbernia · 1×
Citations per year

Countries citing papers authored by Massimo Pasquini

Since Specialization
Citations

This map shows the geographic impact of Massimo Pasquini's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Massimo Pasquini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Pasquini more than expected).

Fields of papers citing papers by Massimo Pasquini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Massimo Pasquini. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Massimo Pasquini. The network helps show where Massimo Pasquini may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Massimo Pasquini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Massimo Pasquini Line = papers co-authored together Massimo Pasquini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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15 20191
16 201962
17
Magnetic resonance spectroscopy in the evaluation of treatment efficacy in unipolar major depressive disorder: a review of the literature.
201235
18 20081
19 20012
20 20011

About Massimo Pasquini

Massimo Pasquini is a scholar working on Clinical Psychology, Biological Psychiatry, Psychiatry and Mental health, Neurology and Experimental and Cognitive Psychology, having authored 103 papers that have together received 2.3k indexed citations. Recurring topics across this work include Obsessive-Compulsive Spectrum Disorders (23 papers), Neurological disorders and treatments (13 papers), Parkinson's Disease Mechanisms and Treatments (10 papers), Autism Spectrum Disorder Research (10 papers), Eating Disorders and Behaviors (9 papers), Treatment of Major Depression (9 papers), Botulinum Toxin and Related Neurological Disorders (8 papers) and Child and Adolescent Psychosocial and Emotional Development (7 papers). The work is most often cited by research in Biological Psychiatry (445 citations), Behavioral Neuroscience (318 citations), Neurology (539 citations), Psychiatry and Mental health (441 citations) and Clinical Psychology (564 citations). Massimo Pasquini has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Massimo Biondi, Isabella Berardelli, Alfredo Berardelli, Giovanni Fabbrini, Angelo Picardi, Marco Artini, Valentina Marino, Antonella Puzella, Stefania Bonaccorso and C. Almerighi. Their work appears in journals such as Movement Disorders, Journal of Affective Disorders, Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity, European Psychiatry and Parkinsonism & Related Disorders.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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