Stefano Bignotti
Impact in
- Biological Psychiatry top 0.5%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol
Papers in
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- Tryptophan and brain disorders 9
-
- Stress Responses and Cortisol 3
- Co-authors
- Massimo GennarelliLuisella Bocchio‐ChiavettoRosaria PioliRoberta ZanardiniG.B. TuraCarlo AltamuraMichaël MaesMariacarla Ventriglia
- Journals
- European Neuropsychopharmacology (6 papers)American Journal of Medical Genetics Part B Neuropsychiatric Genetics (3 papers)Biological Psychiatry (2 papers)Journal of Affective Disorders (2 papers)Schizophrenia Research (2 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Stefano Bignotti
32 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 84
- Biological Psychiatry 444
- Behavioral Neuroscience 230
- Neurology 329
- Psychiatry and Mental health 391
- Developmental Neuroscience 96
Countries citing papers authored by Stefano Bignotti
This map shows the geographic impact of Stefano Bignotti'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 Bignotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Bignotti more than expected).
Fields of papers citing papers by Stefano Bignotti
This network shows the impact of papers produced by Stefano Bignotti. 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 Bignotti. The network helps show where Stefano Bignotti may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefano Bignotti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 5 | |
| 2 | 2021 | 7 | |
| 3 | 2018 | 38 | |
| 4 | 2015 | 13 | |
| 5 | 2015 | 24 | |
| 6 | 2015 | 26 | |
| 7 | 2015 | 58 | |
| 8 | 2013 | 41 | |
| 9 | 2012 | 14 | |
| 10 | 2006 | 121 | |
| 11 | 2005 | 64 | |
| 12 | 2004 | 26 | |
| 13 | 2004 | 30 | |
| 14 | 2003 | 54 | |
| 15 | 2002 | 72 | |
| 16 | 2002 | 16 | |
| 17 | 2002 | 22 | |
| 18 | 2002 | 63 | |
| 19 | 2002 | 109 | |
| 20 | 1998 | 1 |
About Stefano Bignotti
Stefano Bignotti is a scholar working on Biological Psychiatry, Behavioral Neuroscience, Neurology, Psychiatry and Mental health and Clinical Psychology, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (9 papers), Genetics and Neurodevelopmental Disorders (5 papers), Transcranial Magnetic Stimulation Studies (4 papers), Schizophrenia research and treatment (3 papers), Stress Responses and Cortisol (3 papers), Genetic Associations and Epidemiology (3 papers), Receptor Mechanisms and Signaling (3 papers) and Personality Disorders and Psychopathology (3 papers). The work is most often cited by research in Biological Psychiatry (444 citations), Behavioral Neuroscience (230 citations), Neurology (329 citations), Psychiatry and Mental health (391 citations) and Developmental Neuroscience (96 citations). Stefano Bignotti has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Massimo Gennarelli, Luisella Bocchio‐Chiavetto, Rosaria Pioli, Roberta Zanardini, G.B. Tura, Carlo Altamura, Michaël Maes, Mariacarla Ventriglia, Aihua Lin and Günter Kenis. Their work appears in journals such as European Neuropsychopharmacology, American Journal of Medical Genetics Part B Neuropsychiatric Genetics, Biological Psychiatry, Journal of Affective Disorders and Schizophrenia Research.
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.