Virginia D’Ambrosio

413 total citations
7 papers, 285 citations indexed

About

Virginia D’Ambrosio is a scholar working on Psychiatry and Mental health, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Virginia D’Ambrosio has authored 7 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Psychiatry and Mental health, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Molecular Biology. Recurrent topics in Virginia D’Ambrosio's work include Bipolar Disorder and Treatment (7 papers), Electroconvulsive Therapy Studies (3 papers) and Diabetes Treatment and Management (3 papers). Virginia D’Ambrosio is often cited by papers focused on Bipolar Disorder and Treatment (7 papers), Electroconvulsive Therapy Studies (3 papers) and Diabetes Treatment and Management (3 papers). Virginia D’Ambrosio collaborates with scholars based in Italy and Canada. Virginia D’Ambrosio's co-authors include Giuseppe Maina, Virginio Salvi, Filippo Bogetto, Alberto Vitalucci, Umberto Albert, Gianluca Rosso, Francesco Barone‐Adesi, Bernardo Carpiniello, Mirko Manchia and Federica Pinna and has published in prestigious journals such as Journal of Affective Disorders, Psychopharmacology and Progress in Neuro-Psychopharmacology and Biological Psychiatry.

In The Last Decade

Virginia D’Ambrosio

7 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Virginia D’Ambrosio Italy 7 210 89 69 45 33 7 285
Jay Nathanson Canada 5 264 1.3× 81 0.9× 46 0.7× 58 1.3× 31 0.9× 6 349
Erhan Kurt Türkiye 10 198 0.9× 59 0.7× 50 0.7× 24 0.5× 44 1.3× 27 382
Eleni Vradi Denmark 8 390 1.9× 75 0.8× 44 0.6× 61 1.4× 19 0.6× 14 501
Shi Hyun Kang South Korea 12 191 0.9× 97 1.1× 37 0.5× 30 0.7× 30 0.9× 38 350
Marcos Gómez‐Revuelta Spain 11 228 1.1× 62 0.7× 64 0.9× 27 0.6× 50 1.5× 35 319
Alexander John Australia 8 171 0.8× 44 0.5× 53 0.8× 17 0.4× 28 0.8× 26 262
Martina Růžičková Canada 9 493 2.3× 95 1.1× 122 1.8× 93 2.1× 45 1.4× 12 560
Colette Kosik‐Gonzalez United States 10 375 1.8× 72 0.8× 16 0.2× 38 0.8× 47 1.4× 18 558
Saurabh Kaushik United States 6 255 1.2× 51 0.6× 45 0.7× 37 0.8× 60 1.8× 13 315
Sarah R. Blumenthal United States 6 108 0.5× 86 1.0× 23 0.3× 31 0.7× 52 1.6× 12 365

Countries citing papers authored by Virginia D’Ambrosio

Since Specialization
Citations

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

Fields of papers citing papers by Virginia D’Ambrosio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Virginia D’Ambrosio. 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 Virginia D’Ambrosio. The network helps show where Virginia D’Ambrosio may publish in the future.

Co-authorship network of co-authors of Virginia D’Ambrosio

This figure shows the co-authorship network connecting the top 25 collaborators of Virginia D’Ambrosio. A scholar is included among the top collaborators of Virginia D’Ambrosio 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 Virginia D’Ambrosio. Virginia D’Ambrosio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Manchia, Mirko, Giuseppe Maina, Bernardo Carpiniello, et al.. (2017). Clinical correlates of age at onset distribution in bipolar disorder: a comparison between diagnostic subgroups. International Journal of Bipolar Disorders. 5(1). 28–28. 11 indexed citations
2.
Salvi, Virginio, Francesco Barone‐Adesi, Virginia D’Ambrosio, Umberto Albert, & Giuseppe Maina. (2015). High H1-affinity antidepressants and risk of metabolic syndrome in bipolar disorder. Psychopharmacology. 233(1). 49–56. 31 indexed citations
3.
Salvi, Virginio, Virginia D’Ambrosio, Filippo Bogetto, & Giuseppe Maina. (2011). Metabolic syndrome in Italian patients with bipolar disorder: A 2-year follow-up study. Journal of Affective Disorders. 136(3). 599–603. 23 indexed citations
4.
D’Ambrosio, Virginia, Virginio Salvi, Filippo Bogetto, & Giuseppe Maina. (2011). Serum lipids, metabolic syndrome and lifetime suicide attempts in patients with bipolar disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 37(1). 136–140. 52 indexed citations
5.
Salvi, Virginio, Virginia D’Ambrosio, Gianluca Rosso, Filippo Bogetto, & Giuseppe Maina. (2011). Age‐specific prevalence of metabolic syndrome in Italian patients with bipolar disorder. Psychiatry and Clinical Neurosciences. 65(1). 47–54. 38 indexed citations
6.
D’Ambrosio, Virginia, Umberto Albert, Filippo Bogetto, & Giuseppe Maina. (2010). Obsessive–compulsive disorder and cyclothymic temperament: An exploration of clinical features. Journal of Affective Disorders. 127(1-3). 295–299. 25 indexed citations
7.
Maina, Giuseppe, Virginio Salvi, Alberto Vitalucci, Virginia D’Ambrosio, & Filippo Bogetto. (2008). Prevalence and correlates of overweight in drug-naïve patients with bipolar disorder. Journal of Affective Disorders. 110(1-2). 149–155. 105 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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