G.A. Fava

617 total citations
14 papers, 455 citations indexed

About

G.A. Fava is a scholar working on Endocrinology, Diabetes and Metabolism, General Health Professions and Pharmacology. According to data from OpenAlex, G.A. Fava has authored 14 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 2 papers in General Health Professions and 1 paper in Pharmacology. Recurrent topics in G.A. Fava's work include Pituitary Gland Disorders and Treatments (3 papers), Adrenal Hormones and Disorders (2 papers) and Health, psychology, and well-being (2 papers). G.A. Fava is often cited by papers focused on Pituitary Gland Disorders and Treatments (3 papers), Adrenal Hormones and Disorders (2 papers) and Health, psychology, and well-being (2 papers). G.A. Fava collaborates with scholars based in Italy and United States. G.A. Fava's 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 and has published in prestigious journals such as American Journal of Psychiatry, Journal of Affective Disorders and Acta Psychiatrica Scandinavica.

In The Last Decade

G.A. Fava

12 papers receiving 421 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
G.A. Fava Italy 9 191 101 96 87 51 14 455
Niels Bergemann Germany 9 132 0.7× 80 0.8× 124 1.3× 76 0.9× 36 0.7× 11 453
Dieter Schoepf Germany 13 214 1.1× 154 1.5× 50 0.5× 144 1.7× 109 2.1× 23 594
Evgenia Stefanopoulou United Kingdom 13 165 0.9× 152 1.5× 139 1.4× 125 1.4× 15 0.3× 22 547
Arlette Seghers Belgium 8 113 0.6× 53 0.5× 138 1.4× 41 0.5× 58 1.1× 16 398
Wiebke Greggersen Germany 14 131 0.7× 178 1.8× 73 0.8× 49 0.6× 36 0.7× 16 540
Mariangela Cadeddu Italy 8 208 1.1× 112 1.1× 105 1.1× 30 0.3× 25 0.5× 10 443
J. Liappas Greece 12 154 0.8× 77 0.8× 39 0.4× 61 0.7× 79 1.5× 30 464
G. Eberhard Sweden 10 134 0.7× 89 0.9× 20 0.2× 81 0.9× 105 2.1× 15 468
Annet T. Spijker Netherlands 13 205 1.1× 105 1.0× 112 1.2× 95 1.1× 24 0.5× 18 559
Laura Ortega Spain 14 224 1.2× 121 1.2× 81 0.8× 40 0.5× 25 0.5× 29 617

Countries citing papers authored by G.A. Fava

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

14 of 14 papers shown
1.
Fava, G.A.. (2016). Well-Being Therapy: Treatment Manual and Clinical Applications. 50 indexed citations
2.
Sonino, Nicoletta, Jenny Guidi, & G.A. Fava. (2015). Psychological aspects of endocrine disease. The Journal of the Royal College of Physicians of Edinburgh. 45(1). 55–59. 11 indexed citations
3.
Grandi, Silvana, Laura Sirri, & G.A. Fava. (2013). Perceived social support and demoralization in women with breast cancer. 82. 39–39. 1 indexed citations
4.
Ruini, Chiara & G.A. Fava. (2008). New psychotherapeutic technique for preventing relapse: Well-being therapy (WBT). Journal of Affective Disorders. 107. S98–S99. 1 indexed citations
5.
Sonino, Nicoletta, et al.. (2004). Life events in the pathogenesis of hyperprolactinemia. European Journal of Endocrinology. 151(1). 61–65. 43 indexed citations
6.
Sonino, Nicoletta, Marco Boscaro, Francesco Fallo, & G.A. Fava. (2000). A Clinical Index for Rating Severity in Cushing’s Syndrome. Psychotherapy and Psychosomatics. 69(4). 216–220. 46 indexed citations
7.
Fava, G.A. & H. Freyberger. (1998). Handbook of psychosomatic medicine. 14 indexed citations
8.
Fava, G.A.. (1996). The concept of recovery in affective disorders. European Psychiatry. 11. 185s–185s.
9.
Molnár, G, et al.. (1988). Duration and symptoms of bipolar prodromes. American Journal of Psychiatry. 145(12). 1576–1578. 95 indexed citations
10.
Grandi, Silvana, et al.. (1988). Depression and anxiety in patients with chronic pelvic pain.. PubMed. 6(4). 1–7. 7 indexed citations
11.
Fava, G.A., Giancarlo Trombini, L. Barbara, et al.. (1985). Depression and gastrointestinal illness: the joint use of biological and clinical criteria.. PubMed. 80(3). 195–9. 16 indexed citations
12.
Fava, G.A., et al.. (1985). Treatment responses in primary and secondary melancholia: a preliminary report.. PubMed. 46(8). 332–4. 6 indexed citations
13.
Kellner, R., Maire T. Buckman, G.A. Fava, & Dorothy R. Pathak. (1984). Hyperprolactinemia, distress, and hostility. American Journal of Psychiatry. 141(6). 759–763. 55 indexed citations
14.
Fava, G.A., et al.. (1982). The Hamilton Depression Rating Scale in normals and depressives. Acta Psychiatrica Scandinavica. 66(1). 26–32. 110 indexed citations

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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