Maurizio Fava

18 papers and 1.2k indexed citations i.

About

Maurizio Fava is a scholar working on Pharmacology, Psychiatry and Mental health and Experimental and Cognitive Psychology. According to data from OpenAlex, Maurizio Fava has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pharmacology, 7 papers in Psychiatry and Mental health and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Maurizio Fava’s work include Treatment of Major Depression (9 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (5 papers) and Bipolar Disorder and Treatment (5 papers). Maurizio Fava is often cited by papers focused on Treatment of Major Depression (9 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (5 papers) and Bipolar Disorder and Treatment (5 papers). Maurizio Fava collaborates with scholars based in United States and Italy. Maurizio Fava's co-authors include Andrew A. Nierenberg, Jonathan E. Alpert, J F Rosenbaum, Joel A. Pava, John J. Worthington, S. Hoog, Rajinder Judge, Stephanie C. Koke, Steffany J. Fredman and Candace N. White and has published in prestigious journals such as New England Journal of Medicine, American Journal of Psychiatry and Biological Psychiatry.

In The Last Decade

Co-authorship network of co-authors of Maurizio Fava i

Fields of papers citing papers by Maurizio Fava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maurizio Fava

Since Specialization
Citations

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

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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