Marzia Molinaro

10 total papers · 1.2k total citations
7 papers, 688 citations indexed

About

Marzia Molinaro is a scholar working on Clinical Psychology, Psychiatry and Mental health and Experimental and Cognitive Psychology. According to data from OpenAlex, Marzia Molinaro has authored 7 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Clinical Psychology, 3 papers in Psychiatry and Mental health and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Marzia Molinaro's work include COVID-19 and Mental Health (2 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers) and Psychosomatic Disorders and Their Treatments (2 papers). Marzia Molinaro is often cited by papers focused on COVID-19 and Mental Health (2 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers) and Psychosomatic Disorders and Their Treatments (2 papers). Marzia Molinaro collaborates with scholars based in Italy, United States and Canada. Marzia Molinaro's co-authors include Gabriele Sani, Luigi Dattoli, Luigi Janiri, Lorenzo Moccia, Marco Di Nicola, Delfina Janiri, Maria Pepe, Daniela Chieffo, Andrea Fiorillo and Joseph B. Tracy and has published in prestigious journals such as Schizophrenia Bulletin, Brain Behavior and Immunity and Australian & New Zealand Journal of Psychiatry.

In The Last Decade

Marzia Molinaro

7 papers receiving 677 citations

Hit Papers

Affective temperament, at... 2020 2026 2022 2024 2020 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marzia Molinaro 524 174 119 107 104 7 688
Kitty K. Wu 583 1.1× 108 0.6× 153 1.3× 139 1.3× 134 1.3× 15 774
Luigi Dattoli 501 1.0× 156 0.9× 116 1.0× 102 1.0× 71 0.7× 7 626
Candi M C Leung 485 0.9× 169 1.0× 92 0.8× 57 0.5× 110 1.1× 11 789
Christophe Debien 566 1.1× 156 0.9× 94 0.8× 81 0.8× 54 0.5× 21 677
Amir Moghanibashi‐Mansourieh 473 0.9× 150 0.9× 81 0.7× 101 0.9× 23 0.2× 16 618
Eva-Maria Skoda 607 1.2× 151 0.9× 134 1.1× 110 1.0× 41 0.4× 11 768
Sylvie Molenda 484 0.9× 127 0.7× 98 0.8× 71 0.7× 29 0.3× 5 608
Teresa Rangil 268 0.5× 228 1.3× 97 0.8× 46 0.4× 83 0.8× 10 602
Cynthia Cox 208 0.4× 100 0.6× 51 0.4× 70 0.7× 74 0.7× 11 563
Xiaolin Huang 484 0.9× 89 0.5× 46 0.4× 65 0.6× 47 0.5× 5 672

Countries citing papers authored by Marzia Molinaro

Since Specialization
Citations

This map shows the geographic impact of Marzia Molinaro'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 Marzia Molinaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marzia Molinaro more than expected).

Fields of papers citing papers by Marzia Molinaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marzia Molinaro. 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 Marzia Molinaro. The network helps show where Marzia Molinaro may publish in the future.

Co-authorship network of co-authors of Marzia Molinaro

This figure shows the co-authorship network connecting the top 25 collaborators of Marzia Molinaro. A scholar is included among the top collaborators of Marzia Molinaro based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marzia Molinaro. Marzia Molinaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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