Roberto Campagna
Impact in
- Geriatrics and Gerontology top 1%
- Sirtuins and Resveratrol in Medicine
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
Papers in
-
- Biochemical and Molecular Research 5
- CRISPR and Genetic Engineering 5
- RNA modifications and cancer 4
-
- Paraoxonase enzyme and polymorphisms 9
- Co-authors
- Monica Emanuelli (33 shared papers)Davide Sartini (32 shared papers)Valentina Pozzi (23 shared papers)Eleonora Salvolini (17 shared papers)Arianna Vignini (5 shared papers)Stefan Chłopicki (6 shared papers)Annamaria Offidani (8 shared papers)Monia Cecati (16 shared papers)
- Journals
- Biomolecules (6 papers)Antioxidants (4 papers)International Journal of Molecular Sciences (3 papers)European Journal of Clinical Investigation (2 papers)Cellular and Molecular Biology (2 papers)
- Partner nations
- ItalyPolandNetherlands
In The Last Decade
Roberto Campagna
43 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Geriatrics and Gerontology 215
- Physiology 88
- Clinical Biochemistry 74
- Oncology 245
- Molecular Biology 550
Countries citing papers authored by Roberto Campagna
This map shows the geographic impact of Roberto Campagna'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 Roberto Campagna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Campagna more than expected).
Fields of papers citing papers by Roberto Campagna
This network shows the impact of papers produced by Roberto Campagna. 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 Roberto Campagna. The network helps show where Roberto Campagna may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Campagna, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 90 | |
| 2 | 2020 | 66 | |
| 3 | 2020 | 61 | |
| 4 | 2021 | 57 | |
| 5 | 2021 | 56 | |
| 6 | 2023 | 55 | |
| 7 | 2021 | 52 | |
| 8 | 2020 | 41 | |
| 9 | 2021 | 39 | |
| 10 | 2021 | 38 | |
| 11 | 2019 | 37 | |
| 12 | 2021 | 36 | |
| 13 | 2023 | 36 | |
| 14 | 2018 | 35 | |
| 15 | 2018 | 35 | |
| 16 | 2020 | 33 | |
| 17 | 2020 | 30 | |
| 18 | 2024 | 30 | |
| 19 | 2022 | 30 | |
| 20 | 2020 | 29 |
About Roberto Campagna
Roberto Campagna is a scholar working on Molecular Biology, Clinical Biochemistry, Oncology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Paraoxonase enzyme and polymorphisms (9 papers), Chemotherapy-induced cardiotoxicity and mitigation (7 papers), Chemotherapy-induced organ toxicity mitigation (6 papers), Biochemical and Molecular Research (5 papers), CRISPR and Genetic Engineering (5 papers), Autophagy in Disease and Therapy (4 papers), PARP inhibition in cancer therapy (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Geriatrics and Gerontology (215 citations), Physiology (88 citations), Clinical Biochemistry (74 citations), Oncology (245 citations) and Molecular Biology (550 citations). Roberto Campagna has collaborated with scholars based in Italy, Poland and Netherlands. Frequent co-authors include Monica Emanuelli, Davide Sartini, Valentina Pozzi, Eleonora Salvolini, Arianna Vignini, Stefan Chłopicki, Annamaria Offidani, Monia Cecati, Elisa Molinelli and Anna Campanati. Their work appears in journals such as Biomolecules, Antioxidants, International Journal of Molecular Sciences, European Journal of Clinical Investigation and Cellular and Molecular Biology.
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.