Stefano Porcelli

3.1k total citations · 1 hit paper
72 papers, 2.0k citations indexed

About

Stefano Porcelli is a scholar working on Psychiatry and Mental health, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Stefano Porcelli has authored 72 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Psychiatry and Mental health, 21 papers in Pharmacology and 16 papers in Cellular and Molecular Neuroscience. Recurrent topics in Stefano Porcelli's work include Bipolar Disorder and Treatment (28 papers), Schizophrenia research and treatment (23 papers) and Treatment of Major Depression (21 papers). Stefano Porcelli is often cited by papers focused on Bipolar Disorder and Treatment (28 papers), Schizophrenia research and treatment (23 papers) and Treatment of Major Depression (21 papers). Stefano Porcelli collaborates with scholars based in Italy, United States and South Korea. Stefano Porcelli's co-authors include Alessandro Serretti, Chiara Fabbri, Diana De Ronchi, Raffaella Calati, Antonio Drago, Daniel Souery, Lucie Bartova, Stuart Montgomery, Markus Dold and Julien Mendlewicz and has published in prestigious journals such as International Journal of Molecular Sciences, Neuroscience & Biobehavioral Reviews and Psychological Medicine.

In The Last Decade

Stefano Porcelli

68 papers receiving 2.0k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Social brain, social dysfunction and social withdrawal

2018 256 citations Stefano Porcelli, Nic J.A. van der Wee et al. Neuroscience & Biobehavioral Reviews profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefano Porcelli Italy	24	750	603	417	396	358	72	2.0k
Tae‐Youn Jun South Korea	29	767 1.0×	528 0.9×	568 1.4×	381 1.0×	395 1.1×	125	2.4k
Isabelle Massat Belgium	25	890 1.2×	548 0.9×	375 0.9×	306 0.8×	283 0.8×	61	2.0k
Stefan Kloiber Germany	26	511 0.7×	677 1.1×	834 2.0×	426 1.1×	308 0.9×	96	2.9k
Min-Soo Lee South Korea	24	458 0.6×	396 0.7×	319 0.8×	329 0.8×	309 0.9×	72	2.0k
André Tadić Germany	24	416 0.6×	646 1.1×	417 1.0×	434 1.1×	383 1.1×	43	1.9k
Olivier Lipp Canada	22	783 1.0×	438 0.7×	200 0.5×	358 0.9×	227 0.6×	58	1.6k
Teruhiko Higuchi Japan	32	945 1.3×	544 0.9×	755 1.8×	398 1.0×	444 1.2×	126	3.4k
Bárbara Arias Spain	27	702 0.9×	376 0.6×	318 0.8×	629 1.6×	197 0.6×	86	2.2k
Marina Šagud Croatia	27	664 0.9×	278 0.5×	504 1.2×	318 0.8×	167 0.5×	111	2.0k
Andreas Erfurth Germany	27	1.3k 1.7×	444 0.7×	380 0.9×	488 1.2×	207 0.6×	139	2.6k

Countries citing papers authored by Stefano Porcelli

Since Specialization

Citations

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

Fields of papers citing papers by Stefano Porcelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Porcelli

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

All Works

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20 of 20 papers shown

Pedrini, Laura, Clarissa Ferrari, Mariangela Lanfredi, et al.. (2021). The association of childhood trauma, lifetime stressful events and general psychopathological symptoms in euthymic bipolar patients and healthy subjects. Journal of Affective Disorders. 289. 66–73. 8 indexed citations

Dold, Markus, Lucie Bartova, Alexander Kautzky, et al.. (2019). Psychotic Features in Patients With Major Depressive Disorder. The Journal of Clinical Psychiatry. 80(1). 36 indexed citations

Rossetti, Maria Gloria, Carolina Bonivento, Marco Garzitto, et al.. (2019). The brief assessment of cognition in affective disorders: Normative data for the Italian population. Journal of Affective Disorders. 252. 245–252. 6 indexed citations

Dold, Markus, Lucie Bartova, Alexander Kautzky, et al.. (2018). Clinical factors associated with augmentation treatment with second-generation antipsychotics and lithium in major depression – Results from a European multicenter study. European Neuropsychopharmacology. 28(12). 1305–1313. 16 indexed citations

Porcelli, Stefano, Nic J.A. van der Wee, Steven van der Werff, et al.. (2018). Social brain, social dysfunction and social withdrawal. Neuroscience & Biobehavioral Reviews. 97. 10–33. 256 indexed citations breakdown →

Dold, Markus, Lucie Bartova, Gernot Fugger, et al.. (2018). Major Depression and the Degree of Suicidality: Results of the European Group for the Study of Resistant Depression (GSRD). The International Journal of Neuropsychopharmacology. 21(6). 539–549. 67 indexed citations

Dold, Markus, Lucie Bartova, Daniel Souery, et al.. (2018). Clinical correlates of augmentation/combination treatment strategies in major depressive disorder. Acta Psychiatrica Scandinavica. 137(5). 401–412. 31 indexed citations

Gilmour, Gary, Stefano Porcelli, Valérie Bertaina‐Anglade, et al.. (2018). Relating constructs of attention and working memory to social withdrawal in Alzheimer’s disease and schizophrenia: issues regarding paradigm selection. Neuroscience & Biobehavioral Reviews. 97. 47–69. 21 indexed citations

Calabrò, Marco, Stefano Porcelli, Concetta Crisafulli, et al.. (2017). Genetic Variants Within Molecular Targets of Antipsychotic Treatment: Effects on Treatment Response, Schizophrenia Risk, and Psychopathological Features. Journal of Molecular Neuroscience. 64(1). 62–74. 4 indexed citations

10.

Dold, Markus, Alexander Kautzky, Lucie Bartova, et al.. (2016). Pharmacological treatment strategies in unipolar depression in European tertiary psychiatric treatment centers – A pharmacoepidemiological cross-sectional multicenter study. European Neuropsychopharmacology. 26(12). 1960–1971. 53 indexed citations

11.

Chiesa, Alberto, Costanza Andrisano, Alessandro Serretti, et al.. (2015). Mindfulness-based cognitive therapy vs. psycho-education for patients with major depression who did not achieve remission following antidepressant treatment. Psychiatry Research. 226(2-3). 474–483. 59 indexed citations

12.

Ilješ, Anja Plemenitaš, et al.. (2015). Alcohol Dependence and Genetic Variability in the Serotonin Pathway among Currently and Formerly Alcohol-Dependent Males. Neuropsychobiology. 72(1). 57–64. 14 indexed citations

13.

Mandelli, Laura, et al.. (2014). Genes involved in neuroplasticity and stressful life events act on the short-term response to antidepressant treatment: a complex interplay between genetics and environment. Human Psychopharmacology Clinical and Experimental. 29(4). 388–391. 7 indexed citations

14.

Porcelli, Stefano, et al.. (2014). Quetiapine Extended Release. Journal of Clinical Psychopharmacology. 34(3). 303–306. 3 indexed citations

15.

Chiesa, Alberto, et al.. (2012). DAOA Variants on Diagnosis and Response to Treatment in Patients with Major Depressive Disorder and Bipolar Disorder. Journal of International Medical Research. 40(1). 258–265. 5 indexed citations

16.

Serretti, Alessandro, Alberto Chiesa, Stefano Porcelli, et al.. (2011). Influence of TPH2 variants on diagnosis and response to treatment in patients with major depression, bipolar disorder and schizophrenia. Psychiatry Research. 189(1). 26–32. 35 indexed citations

17.

Pae, Chi-Un, Alberto Chiesa, Stefano Porcelli, et al.. (2011). Influence of <i>BDNF</i> Variants on Diagnosis and Response to Treatment in Patients with Major Depression, Bipolar Disorder and Schizophrenia. Neuropsychobiology. 65(1). 1–11. 55 indexed citations

18.

Chiesa, Alberto, Concetta Crisafulli, Stefano Porcelli, et al.. (2011). Influence of GRIA1, GRIA2 and GRIA4 polymorphisms on diagnosis and response to treatment in patients with major depressive disorder. European Archives of Psychiatry and Clinical Neuroscience. 262(4). 305–311. 25 indexed citations

19.

Porcelli, Stefano, Antonio Drago, Chiara Fabbri, & Alessandro Serretti. (2011). Mechanisms of antidepressant action: An integrated dopaminergic perspective. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 35(7). 1532–1543. 30 indexed citations

20.

Chiesa, Alberto, Chi-Un Pae, Stefano Porcelli, et al.. (2011). DAOAvariants and schizophrenia: Influence on diagnosis and treatment outcomes. International Journal of Psychiatry in Clinical Practice. 15(4). 303–310. 4 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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