Valeria Donisi

114 total papers · 2.1k total citations
64 papers, 1.1k citations indexed

About

Valeria Donisi is a scholar working on Social Psychology, Clinical Psychology and Psychiatry and Mental health. According to data from OpenAlex, Valeria Donisi has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Social Psychology, 23 papers in Clinical Psychology and 19 papers in Psychiatry and Mental health. Recurrent topics in Valeria Donisi's work include Health disparities and outcomes (10 papers), Schizophrenia research and treatment (9 papers) and Mental Health Treatment and Access (8 papers). Valeria Donisi is often cited by papers focused on Health disparities and outcomes (10 papers), Schizophrenia research and treatment (9 papers) and Mental Health Treatment and Access (8 papers). Valeria Donisi collaborates with scholars based in Italy, Finland and Norway. Valeria Donisi's co-authors include Francesco Amaddeo, Federico Tedeschi, Riccardo Pertile, Michele Tansella, Kristian Wahlbeck, Lidia Del Piccolo, Laura Grigoletti, Peija Haaramo, Silvia Gabrielli and Sara Carbone and has published in prestigious journals such as Psychological Medicine, Journal of Affective Disorders and International Journal of Environmental Research and Public Health.

In The Last Decade

Valeria Donisi

61 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Valeria Donisi 408 346 343 276 115 64 1.1k
Charles E. Drebing 390 1.0× 320 0.9× 514 1.5× 248 0.9× 127 1.1× 65 1.3k
Federico Tedeschi 575 1.4× 279 0.8× 304 0.9× 395 1.4× 70 0.6× 53 1.1k
Anke Bramesfeld 549 1.3× 351 1.0× 434 1.3× 258 0.9× 121 1.1× 75 1.3k
Jong‐Ik Park 691 1.7× 365 1.1× 284 0.8× 259 0.9× 151 1.3× 80 1.3k
Graça Cardoso 462 1.1× 308 0.9× 415 1.2× 258 0.9× 237 2.1× 85 1.2k
Walter E. Penk 722 1.8× 248 0.7× 504 1.5× 233 0.8× 133 1.2× 68 1.4k
Anne Reneflot 707 1.7× 374 1.1× 262 0.8× 154 0.6× 164 1.4× 58 1.1k
James Coyne 512 1.3× 372 1.1× 290 0.8× 207 0.8× 115 1.0× 30 1.4k
Pasquale Roberge 548 1.3× 486 1.4× 353 1.0× 269 1.0× 54 0.5× 87 1.4k
Tom Callaly 506 1.2× 221 0.6× 306 0.9× 348 1.3× 60 0.5× 38 1.1k

Countries citing papers authored by Valeria Donisi

Since Specialization
Citations

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

Fields of papers citing papers by Valeria Donisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valeria Donisi

This figure shows the co-authorship network connecting the top 25 collaborators of Valeria Donisi. A scholar is included among the top collaborators of Valeria Donisi 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 Valeria Donisi. Valeria Donisi 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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