Pietro Delre
- Developmental Neuroscience top 10%
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- Computational Drug Discovery Methods 10
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- Cannabis and Cannabinoid Research 4
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- Receptor Mechanisms and Signaling 6
- Pharmacological Receptor Mechanisms and Effects 5
- Advanced biosensing and bioanalysis techniques 3
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- Cardiac electrophysiology and arrhythmias 3
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- Machine Learning in Materials Science 3
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- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Giuseppe Felice MangiatordiMichele SavianoNicola AnconaTeresa Maria CreanzaAchille StevenaertDidier MartinRachelle FranzenJean Schoenen
- Cited by
- Developmental NeuroscienceComputational Theory and MathematicsCellular and Molecular Neuroscience
In The Last Decade
Pietro Delre
30 papers receiving 448 citations
Peers
Comparison fields: 5 of 87
- Developmental Neuroscience 52
- Computational Theory and Mathematics 145
- Cellular and Molecular Neuroscience 113
- Pathology and Forensic Medicine 78
- Pharmacology 65
Countries citing papers authored by Pietro Delre
This map shows the geographic impact of Pietro Delre'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 Pietro Delre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pietro Delre more than expected).
Fields of papers citing papers by Pietro Delre
This network shows the impact of papers produced by Pietro Delre. 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 Pietro Delre. The network helps show where Pietro Delre may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pietro Delre, 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 | 2025 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 8 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 12 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 15 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2022 | 5 | |
| 19 | 2020 | 30 | |
| 20 | 1996 | 102 |
About Pietro Delre
Pietro Delre is a scholar working on Biological Psychiatry, Computational Theory and Mathematics and Pharmacology, having authored 33 papers that have together received 452 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Receptor Mechanisms and Signaling (6 papers), Pharmacological Receptor Mechanisms and Effects (5 papers), Cannabis and Cannabinoid Research (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Machine Learning in Materials Science (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Developmental Neuroscience (52 citations), Computational Theory and Mathematics (145 citations) and Cellular and Molecular Neuroscience (113 citations). Pietro Delre has collaborated with scholars based in Italy, Spain and France. Frequent co-authors include Giuseppe Felice Mangiatordi, Michele Saviano, Nicola Ancona, Teresa Maria Creanza, Achille Stevenaert, Didier Martin, Rachelle Franzen, Jean Schoenen, Gustave Moonen and Giovanni Lentini. Their work appears in journals such as Scientific Reports, Free Radical Biology and Medicine and Chemosphere.
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.