Carlo Gaetano
- Cancer Research top 1%
- MicroRNA in disease regulation 24
- Cancer-related molecular mechanisms research 21
- Aging top 2%
- Molecular Biology top 1%
- Histone Deacetylase Inhibitors Research 21
- Circular RNAs in diseases 19
- Epigenetics and DNA Methylation 16
- RNA modifications and cancer 12
- RNA Research and Splicing 10
- Retinoids in leukemia and cellular processes 9
- Geriatrics and Gerontology top 2%
- Genetics top 5%
- Co-authors
- Fabio MartelliMaurizio C. CapogrossiAntonella FarsettiSimona GrecoBarbara IlliFrancesco SpallottaClaudia ColussiSimona Nanni
- Journals
- New England Journal of Medicine (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (6 papers)
- Partner nations
- ItalyGermanyUnited States
In The Last Decade
Carlo Gaetano
144 papers receiving 6.0k citations
Peers
Comparison fields: 5 of 142
- Cancer Research 1.6k
- Aging 141
- Molecular Biology 4.1k
- Geriatrics and Gerontology 162
- Genetics 344
Countries citing papers authored by Carlo Gaetano
This map shows the geographic impact of Carlo Gaetano'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 Carlo Gaetano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo Gaetano more than expected).
Fields of papers citing papers by Carlo Gaetano
This network shows the impact of papers produced by Carlo Gaetano. 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 Carlo Gaetano. The network helps show where Carlo Gaetano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carlo Gaetano, 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 | 5 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 13 | |
| 10 | 2022 | 7 | |
| 11 | 2021 | 24 | |
| 12 | 2021 | 1 | |
| 13 | 2021 | 22 | |
| 14 | 2017 | 24 | |
| 15 | Abstract 18962: The Epithelial-Mesenchymal Master Regulator Zeb1 Orchestrates the Cardiac Determinant Transcription Factor Castor Zinc Finger Protein 1 (casz1) Expression and Function in Heart Regeneration | 2016 | 1 |
| 16 | 2014 | 95 | |
| 17 | 2014 | 57 | |
| 18 | 2013 | 67 | |
| 19 | 2011 | 89 | |
| 20 | 2011 | 4 |
About Carlo Gaetano
Carlo Gaetano is a scholar working on Aging, Cancer Research and Geriatrics and Gerontology, having authored 149 papers that have together received 6.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (24 papers), Histone Deacetylase Inhibitors Research (21 papers), Cancer-related molecular mechanisms research (21 papers), Circular RNAs in diseases (19 papers), Epigenetics and DNA Methylation (16 papers), RNA modifications and cancer (12 papers), RNA Research and Splicing (10 papers) and Retinoids in leukemia and cellular processes (9 papers). The work is most often cited by research in Cancer Research (1.6k citations), Aging (141 citations) and Molecular Biology (4.1k citations). Carlo Gaetano has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Fabio Martelli, Maurizio C. Capogrossi, Antonella Farsetti, Simona Greco, Barbara Illi, Francesco Spallotta, Claudia Colussi, Simona Nanni, Germana Zaccagnini and Chiara Cencioni. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.