Roberto Campagna

1.7k citations
52 papers · 1.4k · h-index 27

Impact in

Papers in

Roberto Campagna

48 papers receiving 1.4k citations

Peers

Roberto Campagna
Comparison fields: 5 of 94
  • Geriatrics and Gerontology 242
  • Physiology 89
  • Clinical Biochemistry 86
  • Oncology 268
  • Molecular Biology 613
Replace Valentina Pozzi with:
Valentina Pozzi Italy
Christelle Laguillier France
Yoon‐Jin Lee South Korea
Sung-Jun Park United States
Manuela Indelicato Italy
David J. Gagne Canada
Yu‐Tang Chin Taiwan
Xiao Yao China
Liyuan Li China
Roberto Campagna relative to Valentina Pozzi Italy Valentina Pozzi's profile →
Citations per field
00.5×2×3.0×
Valentina Pozzi · 1×
Citations per year

Countries citing papers authored by Roberto Campagna

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Roberto Campagna Line = papers co-authored together Roberto Campagna links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202297
2 202074
3 202067
4 202163
5 202360
6 202159
7 202156
8 202046
9 202143
10 202143
11 202341
12 201941
13 201839
14 202138
15 202437
16 202037
17 201836
18 202436
19 202234
20 202032

About Roberto Campagna

Roberto Campagna is a scholar working on Clinical Biochemistry, Geriatrics and Gerontology, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Oncology, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Paraoxonase enzyme and polymorphisms (11 papers), Chemotherapy-induced cardiotoxicity and mitigation (8 papers), Chemotherapy-induced organ toxicity mitigation (6 papers), Biochemical and Molecular Research (5 papers), Sirtuins and Resveratrol in Medicine (5 papers), CRISPR and Genetic Engineering (5 papers), PARP inhibition in cancer therapy (5 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Geriatrics and Gerontology (242 citations), Physiology (89 citations), Clinical Biochemistry (86 citations), Oncology (268 citations) and Molecular Biology (613 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, Elisa Molinelli, Monia Cecati and Anna Campanati. Their work appears in journals such as Biomolecules, Human Cell, Antioxidants, International Journal of Molecular Sciences and Cancers.

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.

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