Aurora Rossetti

1.0k total citations
9 papers, 674 citations indexed

About

Aurora Rossetti is a scholar working on Biological Psychiatry, Psychiatry and Mental health and Pharmacology. According to data from OpenAlex, Aurora Rossetti has authored 9 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biological Psychiatry, 4 papers in Psychiatry and Mental health and 2 papers in Pharmacology. Recurrent topics in Aurora Rossetti's work include Tryptophan and brain disorders (5 papers), Stress Responses and Cortisol (2 papers) and Bipolar Disorder and Treatment (2 papers). Aurora Rossetti is often cited by papers focused on Tryptophan and brain disorders (5 papers), Stress Responses and Cortisol (2 papers) and Bipolar Disorder and Treatment (2 papers). Aurora Rossetti collaborates with scholars based in Italy. Aurora Rossetti's co-authors include Massimo Clerici, Mario Gennaro Mazza, A. Tringali, Massimiliano Beghi, Piera Gabola, C Cornaggia, Martina Capellazzi, Michele Nichelatti, Maria Gabriella Gentile and G. M. Manna and has published in prestigious journals such as Medicine, Progress in Neuro-Psychopharmacology and Biological Psychiatry and General Hospital Psychiatry.

In The Last Decade

Aurora Rossetti

9 papers receiving 660 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aurora Rossetti Italy 7 331 236 205 134 105 9 674
Paulo Marcelo Gondim Sales Brazil 10 134 0.4× 199 0.8× 155 0.8× 60 0.4× 68 0.6× 23 689
Carmen Black United States 9 232 0.7× 125 0.5× 145 0.7× 48 0.4× 154 1.5× 28 543
Andrew H. Miller United States 7 418 1.3× 141 0.6× 65 0.3× 64 0.5× 339 3.2× 9 846
Susan G. Glover United States 7 169 0.5× 200 0.8× 180 0.9× 28 0.2× 125 1.2× 9 726
Katherine E. Williams United States 17 59 0.2× 138 0.6× 149 0.7× 263 2.0× 61 0.6× 28 888
E.S. Susser United States 8 131 0.4× 136 0.6× 88 0.4× 167 1.2× 62 0.6× 16 699
Ioannis Zervas Greece 12 104 0.3× 127 0.5× 160 0.8× 160 1.2× 131 1.2× 45 605
Gökay Alpak Türkiye 14 74 0.2× 146 0.6× 440 2.1× 57 0.4× 29 0.3× 44 786
Serena B. Gumusoglu United States 11 129 0.4× 48 0.2× 70 0.3× 139 1.0× 109 1.0× 29 684
Natalie Mills Australia 12 199 0.6× 87 0.4× 63 0.3× 52 0.4× 124 1.2× 29 523

Countries citing papers authored by Aurora Rossetti

Since Specialization
Citations

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

Fields of papers citing papers by Aurora Rossetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurora Rossetti

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

All Works

9 of 9 papers shown
1.
Mazza, Mario Gennaro, et al.. (2020). Monocyte count in schizophrenia and related disorders: a systematic review and meta-analysis. Acta Neuropsychiatrica. 32(5). 229–236. 32 indexed citations
2.
Mazza, Mario Gennaro, et al.. (2019). Cross-sectional study of neutrophil-lymphocyte, platelet-lymphocyte and monocyte-lymphocyte ratios in mood disorders. General Hospital Psychiatry. 58. 7–12. 65 indexed citations
3.
Mazza, Mario Gennaro, et al.. (2019). Neutrophil-lymphocyte ratio, monocyte-lymphocyte ratio and platelet-lymphocyte ratio in non-affective psychosis: A meta-analysis and systematic review. The World Journal of Biological Psychiatry. 21(5). 326–338. 122 indexed citations
4.
Mazza, Mario Gennaro, et al.. (2019). Prevalence of co‐occurring psychiatric disorders in adults and adolescents with intellectual disability: A systematic review and meta‐analysis. Journal of Applied Research in Intellectual Disabilities. 33(2). 126–138. 106 indexed citations
5.
Mazza, Mario Gennaro, et al.. (2018). Neutrophil/lymphocyte ratio and platelet/lymphocyte ratio in mood disorders: A meta-analysis. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 84(Pt A). 229–236. 228 indexed citations
6.
Mazza, Mario Gennaro, et al.. (2018). Vortioxetine overdose in a suicidal attempt. Medicine. 97(25). e10788–e10788. 6 indexed citations
7.
Mazza, Mario Gennaro, Aurora Rossetti, & Massimo Clerici. (2018). A Review of Neutrophil-Lymphocyte, MonocyteLymphocyte, and Platelet-Lymphocyte Ratios Use in Psychiatric Disorders. 1(1). 10 indexed citations
8.
Beghi, Massimiliano, et al.. (2013). Prevalence and risk factors for the use of restraint in psychiatry: a systematic review. Rivista di psichiatria. 48(1). 10–22. 104 indexed citations
9.
Rossetti, Aurora, et al.. (2012). Eating Disorder Subtypes in a Young Female Sample Using the Operationalized Psychodynamic Diagnosis System: Preliminary Results. Adolescent Psychiatry. 2(4). 333–344. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026