G.A. Fava
- Psychiatry and Mental health top 5%
- Clinical Psychology
- Endocrinology, Diabetes and Metabolism
- Experimental and Cognitive Psychology top 10%
- Pharmacology
- Co-authors
- R. KellnerG MolnárLuca Jacopo PavanNicoletta SoninoMarco BoscaroFrancesco FalloMaire T. BuckmanDorothy R. Pathak
- Topics
- Pituitary Gland Disorders and Treatments (3 papers)Adrenal Hormones and Disorders (2 papers)Health, psychology, and well-being (2 papers)
- Partner nations
- ItalyUnited States
In The Last Decade
G.A. Fava
12 papers receiving 421 citations
Peers
Comparison fields: 5 of 75
- Psychiatry and Mental health 191
- Clinical Psychology 101
- Endocrinology, Diabetes and Metabolism 96
- Experimental and Cognitive Psychology 87
- Pharmacology 51
Countries citing papers authored by G.A. Fava
This map shows the geographic impact of G.A. 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 G.A. Fava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.A. Fava more than expected).
Fields of papers citing papers by G.A. Fava
This network shows the impact of papers produced by G.A. 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 G.A. Fava. The network helps show where G.A. Fava may publish in the future.
Co-authorship network of co-authors of G.A. Fava
This figure shows the co-authorship network connecting the top 25 collaborators of G.A. Fava. A scholar is included among the top collaborators of G.A. Fava 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 G.A. Fava. G.A. Fava is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 50 | |
| 2 | 11 | |
| 3 | Perceived social support and demoralization in women with breast cancer | 1 |
| 4 | 1 | |
| 5 | 43 | |
| 6 | 46 | |
| 7 | Handbook of psychosomatic medicine | 14 |
| 8 | 0 | |
| 9 | 95 | |
| 10 | Depression and anxiety in patients with chronic pelvic pain. | 7 |
| 11 | Depression and gastrointestinal illness: the joint use of biological and clinical criteria. | 16 |
| 12 | Treatment responses in primary and secondary melancholia: a preliminary report. | 6 |
| 13 | 55 | |
| 14 | 110 |
About G.A. Fava
G.A. Fava is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 14 papers that have together received 455 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (3 papers), Adrenal Hormones and Disorders (2 papers) and Health, psychology, and well-being (2 papers). The work is most often cited by research in Psychiatry and Mental health (191 citations), Behavioral Neuroscience (32 citations) and Biological Psychiatry (17 citations). G.A. Fava has collaborated with scholars based in Italy and United States. Frequent co-authors include R. Kellner, G Molnár, Luca Jacopo Pavan, Nicoletta Sonino, Marco Boscaro, Francesco Fallo, Maire T. Buckman, Dorothy R. Pathak, Chiara Ruini and H. Freyberger. Their work appears in journals such as American Journal of Psychiatry, Journal of Affective Disorders and Acta Psychiatrica Scandinavica.
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.