Irene Paterniti
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms 24
- Parkinson's Disease Mechanisms and Treatments 11
- Biological Psychiatry top 2%
- Physiology top 1%
- Pharmacology top 1%
- Cannabis and Cannabinoid Research 13
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 24
- Parkinson's Disease Mechanisms and Treatments 11
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- Spinal Cord Injury Research 31
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- Peroxisome Proliferator-Activated Receptors 22
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- Peptidase Inhibition and Analysis 10
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- Autophagy in Disease and Therapy 10
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- Immune Response and Inflammation 10
- Co-authors
- Salvatore CuzzocreaEmanuela EspositoEmanuela MazzonMichela CampoloDaniela ImpellizzeriRosanna Di PaolaPlacido BramantiGiovanna Casili
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Irene Paterniti
187 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 137
- Neurology 709
- Biological Psychiatry 169
- Physiology 206
- Pharmacology 641
- Neurology 550
Countries citing papers authored by Irene Paterniti
This map shows the geographic impact of Irene Paterniti'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 Irene Paterniti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irene Paterniti more than expected).
Fields of papers citing papers by Irene Paterniti
This network shows the impact of papers produced by Irene Paterniti. 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 Irene Paterniti. The network helps show where Irene Paterniti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Irene Paterniti, 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 | 2025 | 0 | |
| 2 | 2024 | 10 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 16 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 0 | |
| 12 | 2022 | 3 | |
| 13 | 2021 | 22 | |
| 14 | 2018 | 53 | |
| 15 | 2017 | 65 | |
| 16 | 2017 | 29 | |
| 17 | 2015 | 1 | |
| 18 | 2015 | 35 | |
| 19 | 2010 | 24 | |
| 20 | 2009 | 34 |
About Irene Paterniti
Irene Paterniti is a scholar working on Neurology, Physiology and Pathology and Forensic Medicine, having authored 191 papers that have together received 5.1k indexed citations. Recurring topics across this work include Spinal Cord Injury Research (31 papers), Neuroinflammation and Neurodegeneration Mechanisms (24 papers), Peroxisome Proliferator-Activated Receptors (22 papers), Cannabis and Cannabinoid Research (13 papers), Parkinson's Disease Mechanisms and Treatments (11 papers), Peptidase Inhibition and Analysis (10 papers), Autophagy in Disease and Therapy (10 papers) and Immune Response and Inflammation (10 papers). The work is most often cited by research in Neurology (709 citations), Biological Psychiatry (169 citations) and Physiology (206 citations). Irene Paterniti has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Salvatore Cuzzocrea, Emanuela Esposito, Emanuela Mazzon, Michela Campolo, Daniela Impellizzeri, Rosanna Di Paola, Placido Bramanti, Giovanna Casili, Alessia Filippone and Marika Lanza. Their work appears in journals such as PLoS ONE, Scientific Reports and Brain 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.