Pasquale Cepparulo
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Amyotrophic Lateral Sclerosis Research
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- MicroRNA in disease regulation
Papers in
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- MicroRNA in disease regulation 8
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- Extracellular vesicles in disease 4
- Circular RNAs in diseases 2
- RNA Interference and Gene Delivery 2
- Co-authors
- Lucio Annunziato (13 shared papers)Giuseppe Pignataro (12 shared papers)Antonio Vinciguerra (11 shared papers)Ornella Cuomo (11 shared papers)Yi Zhang (3 shared papers)Michael Chopp (3 shared papers)Serenella Anzilotti (8 shared papers)Alexandra Szalad (2 shared papers)
- Journals
- Molecular Therapy — Nucleic Acids (2 papers)Scientific Reports (1 paper)Frontiers in Pediatrics (1 paper)Diabetes (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- ItalyUnited StatesCzechia
In The Last Decade
Pasquale Cepparulo
17 papers receiving 433 citations
Peers
Comparison fields: 5 of 76
- Neurology 71
- Cancer Research 103
- Cellular and Molecular Neuroscience 104
- Developmental Neuroscience 18
- Neurology 64
Countries citing papers authored by Pasquale Cepparulo
This map shows the geographic impact of Pasquale Cepparulo'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 Pasquale Cepparulo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pasquale Cepparulo more than expected).
Fields of papers citing papers by Pasquale Cepparulo
This network shows the impact of papers produced by Pasquale Cepparulo. 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 Pasquale Cepparulo. The network helps show where Pasquale Cepparulo may publish in the future.
Co-authors
The 25 scholars most cited alongside Pasquale Cepparulo, 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 | 2020 | 106 | |
| 2 | 2019 | 54 | |
| 3 | 2018 | 44 | |
| 4 | 2018 | 34 | |
| 5 | 2018 | 31 | |
| 6 | 2019 | 28 | |
| 7 | 2021 | 27 | |
| 8 | 2020 | 24 | |
| 9 | 2021 | 16 | |
| 10 | 2018 | 15 | |
| 11 | 2021 | 13 | |
| 12 | 2024 | 12 | |
| 13 | 2024 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2022 | 7 | |
| 16 | 2023 | 3 | |
| 17 | 2024 | 3 |
About Pasquale Cepparulo
Pasquale Cepparulo is a scholar working on Cancer Research, Molecular Biology, Physiology, Cellular and Molecular Neuroscience and Neurology, having authored 17 papers that have together received 436 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Extracellular vesicles in disease (4 papers), Alzheimer's disease research and treatments (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Circular RNAs in diseases (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), RNA Interference and Gene Delivery (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Neurology (71 citations), Cancer Research (103 citations), Cellular and Molecular Neuroscience (104 citations), Developmental Neuroscience (18 citations) and Neurology (64 citations). Pasquale Cepparulo has collaborated with scholars based in Italy, United States and Czechia. Frequent co-authors include Lucio Annunziato, Giuseppe Pignataro, Antonio Vinciguerra, Ornella Cuomo, Yi Zhang, Michael Chopp, Serenella Anzilotti, Alexandra Szalad, Xuerong Lu and Valeria Valsecchi. Their work appears in journals such as Molecular Therapy — Nucleic Acids, Scientific Reports, Frontiers in Pediatrics, Diabetes and Cell Death and Disease.
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.