Veronica Aggio

969 total citations
18 papers, 587 citations indexed

About

Veronica Aggio is a scholar working on Psychiatry and Mental health, Biological Psychiatry and Behavioral Neuroscience. According to data from OpenAlex, Veronica Aggio has authored 18 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Psychiatry and Mental health, 10 papers in Biological Psychiatry and 5 papers in Behavioral Neuroscience. Recurrent topics in Veronica Aggio's work include Tryptophan and brain disorders (10 papers), Bipolar Disorder and Treatment (10 papers) and Stress Responses and Cortisol (5 papers). Veronica Aggio is often cited by papers focused on Tryptophan and brain disorders (10 papers), Bipolar Disorder and Treatment (10 papers) and Stress Responses and Cortisol (5 papers). Veronica Aggio collaborates with scholars based in Italy, Netherlands and Japan. Veronica Aggio's co-authors include Francesco Benedetti, Roberto Furlan, Giacomo Greco, Cristina Colombo, Sara Poletti, Benedetta Vai, Cristina Lorenzi, Andrea Falini, Elisa Melloni and Elena Mazza and has published in prestigious journals such as Scientific Reports, Journal of Affective Disorders and Brain Behavior and Immunity.

In The Last Decade

Veronica Aggio

18 papers receiving 579 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Veronica Aggio Italy 12 318 258 125 85 79 18 587
Azucena Justicia Spain 11 203 0.6× 385 1.5× 101 0.8× 131 1.5× 72 0.9× 17 765
Kiyokazu Atake Japan 14 188 0.6× 175 0.7× 119 1.0× 140 1.6× 80 1.0× 37 549
Elena Mazza Italy 11 226 0.7× 263 1.0× 95 0.8× 143 1.7× 45 0.6× 14 523
Xingbing Huang China 14 145 0.5× 256 1.0× 59 0.5× 89 1.0× 87 1.1× 49 626
Carol Tamminga United States 9 163 0.5× 184 0.7× 128 1.0× 127 1.5× 52 0.7× 13 582
Silke Conen Netherlands 11 288 0.9× 99 0.4× 158 1.3× 97 1.1× 52 0.7× 16 652
Shu Ping Tan China 13 210 0.7× 192 0.7× 117 0.9× 131 1.5× 43 0.5× 17 480
Guangzhong Yin China 15 128 0.4× 223 0.9× 56 0.4× 130 1.5× 85 1.1× 21 563
Heikki Katila Finland 18 254 0.8× 292 1.1× 124 1.0× 153 1.8× 42 0.5× 38 817
Helga Polyák Hungary 8 183 0.6× 129 0.5× 104 0.8× 75 0.9× 34 0.4× 9 466

Countries citing papers authored by Veronica Aggio

Since Specialization
Citations

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

Fields of papers citing papers by Veronica Aggio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Veronica Aggio

This figure shows the co-authorship network connecting the top 25 collaborators of Veronica Aggio. A scholar is included among the top collaborators of Veronica Aggio 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 Veronica Aggio. Veronica Aggio 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.
Poletti, Sara, Raffaella Zanardi, Alessandra Mandelli, et al.. (2024). Low-dose interleukin 2 antidepressant potentiation in unipolar and bipolar depression: Safety, efficacy, and immunological biomarkers. Brain Behavior and Immunity. 118. 52–68. 35 indexed citations
2.
Palladini, Mariagrazia, Mario Gennaro Mazza, Veronica Aggio, et al.. (2024). Circulating inflammatory markers predict depressive symptomatology in COVID-19 survivors. Cytokine. 186. 156839–156839. 2 indexed citations
3.
Aggio, Veronica, Sara Poletti, Cristina Lorenzi, et al.. (2023). Circulating cytotoxic immune cell composition, activation status and toxins expression associate with white matter microstructure in bipolar disorder. Scientific Reports. 13(1). 22209–22209. 7 indexed citations
4.
Yoshiike, Takuya, Francesco Benedetti, Yoshiya Moriguchi, et al.. (2023). Exploring the role of empathy in prolonged grief reactions to bereavement. Scientific Reports. 13(1). 7596–7596. 1 indexed citations
5.
Vai, Benedetta, Mariagrazia Palladini, Cristina Lorenzi, et al.. (2022). Interleukin 6 associates with reduced grey matter volume and resting-state connectivity in the anterior cingulate cortex in bipolar patients. Brain Behavior & Immunity - Health. 26. 100522–100522. 10 indexed citations
6.
Aggio, Veronica, Annamaria Finardi, Elena Mazza, et al.. (2021). Neurofilaments light: Possible biomarker of brain modifications in bipolar disorder. Journal of Affective Disorders. 300. 243–248. 17 indexed citations
7.
Vai, Benedetta, Mario Gennaro Mazza, Federico Calesella, et al.. (2021). Higher Interleukin 13 differentiates patients with a positive history of suicide attempts in major depressive disorder. Journal of Affective Disorders Reports. 6. 100254–100254. 9 indexed citations
8.
Benedetti, Francesco, et al.. (2020). Neuroinflammation in Bipolar Depression. Frontiers in Psychiatry. 11. 71–71. 201 indexed citations
9.
Benedetti, Francesco, Sara Poletti, Benedetta Vai, et al.. (2020). Higher baseline interleukin-1β and TNF-α hamper antidepressant response in major depressive disorder. European Neuropsychopharmacology. 42. 35–44. 42 indexed citations
10.
Poletti, Sara, Elisa Melloni, Veronica Aggio, et al.. (2019). Grey and white matter structure associates with the activation of the tryptophan to kynurenine pathway in bipolar disorder. Journal of Affective Disorders. 259. 404–412. 30 indexed citations
11.
Furlan, Roberto, Elisa Melloni, Annamaria Finardi, et al.. (2019). Natural killer cells protect white matter integrity in bipolar disorder. Brain Behavior and Immunity. 81. 410–421. 33 indexed citations
12.
Benedetti, Francesco, Sara Poletti, Clara Locatelli, et al.. (2017). A Homer 1 gene variant influences brain structure and function, lithium effects on white matter, and antidepressant response in bipolar disorder: A multimodal genetic imaging study. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 81. 88–95. 33 indexed citations
13.
Poletti, Sara, Veronica Aggio, Irene Bollettini, et al.. (2017). Impact of early and recent stress on white matter microstructure in major depressive disorder. Journal of Affective Disorders. 225. 289–297. 24 indexed citations
14.
Poletti, Sara, Veronica Aggio, Oliver Ambrée, et al.. (2016). Brain-Derived Neurotrophic Factor (Bdnf) and Gray Matter Volume in Bipolar Disorder. European Psychiatry. 40. 33–37. 20 indexed citations
15.
Poletti, Sara, Harm de Wit, Elena Mazza, et al.. (2016). Th17 cells correlate positively to the structural and functional integrity of the brain in bipolar depression and healthy controls. Brain Behavior and Immunity. 61. 317–325. 57 indexed citations
16.
Poletti, Sara, Veronica Aggio, Irene Bollettini, et al.. (2016). SREBF-2 polymorphism influences white matter microstructure in bipolar disorder. Psychiatry Research Neuroimaging. 257. 39–46. 9 indexed citations
17.
Poletti, Sara, et al.. (2016). Multidimensional cognitive impairment in unipolar and bipolar depression and the moderator effect of adverse childhood experiences. Psychiatry and Clinical Neurosciences. 71(5). 309–317. 27 indexed citations
18.
Bollettini, Irene, Elisa Melloni, Veronica Aggio, et al.. (2016). Clock genes associate with white matter integrity in depressed bipolar patients. Chronobiology International. 34(2). 212–224. 30 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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