Ciro Marangoni

1.1k total citations
18 papers, 711 citations indexed

About

Ciro Marangoni is a scholar working on Psychiatry and Mental health, Clinical Psychology and Speech and Hearing. According to data from OpenAlex, Ciro Marangoni has authored 18 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Psychiatry and Mental health, 5 papers in Clinical Psychology and 5 papers in Speech and Hearing. Recurrent topics in Ciro Marangoni's work include Bipolar Disorder and Treatment (15 papers), Adolescent and Pediatric Healthcare (5 papers) and Child and Adolescent Psychosocial and Emotional Development (5 papers). Ciro Marangoni is often cited by papers focused on Bipolar Disorder and Treatment (15 papers), Adolescent and Pediatric Healthcare (5 papers) and Child and Adolescent Psychosocial and Emotional Development (5 papers). Ciro Marangoni collaborates with scholars based in United States, Italy and Argentina. Ciro Marangoni's co-authors include Gianni L. Faedda, Mariely Hernández, Ross J. Baldessarini, Leonardo Tondo, Gustavo Vázquez, Giulia Serra, Lavinia De Chiara, Emanuela Offidani, Paolo Girardi and Paola Salvatore and has published in prestigious journals such as Psychological Medicine, Journal of Affective Disorders and The Journal of Clinical Psychiatry.

In The Last Decade

Ciro Marangoni

16 papers receiving 692 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ciro Marangoni United States 11 483 204 131 113 109 18 711
Susana Alberich Spain 18 525 1.1× 230 1.1× 128 1.0× 186 1.6× 76 0.7× 37 821
Itxaso González–Ortega Spain 16 497 1.0× 287 1.4× 73 0.6× 89 0.8× 75 0.7× 35 777
Doris Hupfeld Moreno Brazil 14 580 1.2× 369 1.8× 87 0.7× 109 1.0× 93 0.9× 32 876
Agnes Nocon Germany 11 232 0.5× 341 1.7× 77 0.6× 115 1.0× 133 1.2× 17 720
Yuan‐Hwa Chou Taiwan 10 384 0.8× 221 1.1× 92 0.7× 74 0.7× 83 0.8× 10 639
Fernando Mosquera Spain 15 625 1.3× 313 1.5× 78 0.6× 117 1.0× 47 0.4× 18 898
Anne E.S. Walsh United Kingdom 12 294 0.6× 241 1.2× 60 0.5× 104 0.9× 121 1.1× 16 622
Sara Barbeito Spain 18 624 1.3× 298 1.5× 59 0.5× 230 2.0× 76 0.7× 55 910
E. Nieto Spain 13 648 1.3× 217 1.1× 84 0.6× 89 0.8× 36 0.3× 26 751
Francis M. Mondimore United States 14 227 0.5× 242 1.2× 86 0.7× 99 0.9× 93 0.9× 20 695

Countries citing papers authored by Ciro Marangoni

Since Specialization
Citations

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

Fields of papers citing papers by Ciro Marangoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ciro Marangoni

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

All Works

18 of 18 papers shown
1.
Iorfino, Frank, Ciro Marangoni, Lihong Cui, et al.. (2020). Familial aggregation of anxiety disorder subtypes and anxious temperament in the NIMH Family Study of Affective Spectrum Disorders. Journal of Affective Disorders. 281. 751–758.
2.
Glaus, Jennifer, Anna Van Meter, Lihong Cui, Ciro Marangoni, & Kathleen R. Merikangas. (2018). Factorial structure and familial aggregation of the Hypomania Checklist-32 (HCL-32): Results of the NIMH Family Study of Affective Spectrum Disorders. Comprehensive Psychiatry. 84. 7–14. 8 indexed citations
3.
Marangoni, Ciro, Gianni L. Faedda, & Ross J. Baldessarini. (2018). Clinical and Environmental Risk Factors for Bipolar Disorder: Review of Prospective Studies. Harvard Review of Psychiatry. 26(1). 1–7. 18 indexed citations
4.
Glaus, Jennifer, Roland von Känel, Aurélie M. Lasserre, et al.. (2017). Mood disorders and circulating levels of inflammatory markers in a longitudinal population-based study. Psychological Medicine. 48(6). 961–973. 42 indexed citations
5.
Stahl, Stephen M., Debbi Ann Morrissette, Gianni L. Faedda, et al.. (2017). Guidelines for the recognition and management of mixed depression. CNS Spectrums. 22(2). 203–219. 94 indexed citations
6.
Glaus, Jennifer, Roland von Känel, Aurélie M. Lasserre, et al.. (2017). The bidirectional relationship between anxiety disorders and circulating levels of inflammatory markers: Results from a large longitudinal population-based study. Depression and Anxiety. 35(4). 360–371. 52 indexed citations
7.
Hernández, Mariely, et al.. (2016). Parental Reports of Prodromal Psychopathology in Pediatric Bipolar Disorder. Current Neuropharmacology. 15(3). 380–385. 15 indexed citations
8.
Marangoni, Ciro, Mariely Hernández, & Gianni L. Faedda. (2016). The role of environmental exposures as risk factors for bipolar disorder: A systematic review of longitudinal studies. Journal of Affective Disorders. 193. 165–174. 117 indexed citations
9.
Faedda, Gianni L. & Ciro Marangoni. (2016). What is the role of conventional antidepressants in the treatment of major depressive episodes with Mixed Features Specifier?. CNS Spectrums. 22(2). 120–125. 10 indexed citations
10.
Faedda, Gianni L., Ciro Marangoni, Giulia Serra, et al.. (2015). Precursors of Bipolar Disorders. The Journal of Clinical Psychiatry. 76(5). 614–624. 69 indexed citations
11.
Faedda, Gianni L., Ciro Marangoni, & Daniela Reginaldi. (2015). Depressive mixed states: A reappraisal of Koukopoulos׳criteria. Journal of Affective Disorders. 176. 18–23. 27 indexed citations
12.
Marangoni, Ciro, Lavinia De Chiara, & Gianni L. Faedda. (2015). Bipolar Disorder and ADHD: Comorbidity and Diagnostic Distinctions. Current Psychiatry Reports. 17(8). 604–604. 56 indexed citations
13.
Marangoni, Ciro, et al.. (2015). Bipolar disorder preceding the onset of multiple sclerosis. Neuroimmunology and Neuroinflammation. 2(4). 195–195. 3 indexed citations
14.
Serra, Giulia, et al.. (2015). The role of neuroinflammation in juvenile bipolar disorder. Neuroimmunology and Neuroinflammation. 2(4). 244–244. 3 indexed citations
15.
Faedda, Gianni L., Giulia Serra, Ciro Marangoni, et al.. (2014). Clinical risk factors for bipolar disorders: A systematic review of prospective studies. Journal of Affective Disorders. 168. 314–321. 70 indexed citations
16.
Baldessarini, Ross J., Gianni L. Faedda, Emanuela Offidani, et al.. (2013). “Switching” of Mood From Depression to Mania With Antidepressants. 1 indexed citations
17.
Baldessarini, Ross J., Gianni L. Faedda, Emanuela Offidani, et al.. (2012). Antidepressant-associated mood-switching and transition from unipolar major depression to bipolar disorder: A review. Journal of Affective Disorders. 148(1). 129–135. 123 indexed citations
18.
Mandelli, Laura, Marianna Mazza, Ciro Marangoni, et al.. (2011). PRELIMINARY ANALYSIS OF GENES INVOLVED IN INFLAMMATORY, OXIDATIVE PROCESSES AND CA2+SIGNALING IN BIPOLAR DISORDER AND COMORBIDITY FOR SUBSTANCE USE DISORDER. 347–353. 3 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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