Matteo Bertolotti
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Advanced Glycation End Products research
Papers in
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- S100 Proteins and Annexins 1
- Circular RNAs in diseases 1
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- Cancer Genomics and Diagnostics 1
- Co-authors
- Angela Raucci (5 shared papers)Giulio Pompilio (4 shared papers)Ileana Badi (3 shared papers)Alessandro Scopece (2 shared papers)Maurizio C. Capogrossi (3 shared papers)Filippo Zeni (1 shared paper)Ilaria Burba (1 shared paper)Yuri D’Alessandra (2 shared papers)
- Journals
- Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (1 paper)Journal of Molecular and Cellular Cardiology (1 paper)The Journals of Gerontology Series A (1 paper)Molecular Cancer Therapeutics (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- ItalyGermanySwitzerland
In The Last Decade
Matteo Bertolotti
6 papers receiving 325 citations
Peers
Comparison fields: 5 of 57
- Cancer Research 155
- Clinical Biochemistry 31
- Geriatrics and Gerontology 13
- Molecular Biology 174
- Cardiology and Cardiovascular Medicine 48
Countries citing papers authored by Matteo Bertolotti
This map shows the geographic impact of Matteo Bertolotti'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 Matteo Bertolotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Bertolotti more than expected).
Fields of papers citing papers by Matteo Bertolotti
This network shows the impact of papers produced by Matteo Bertolotti. 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 Matteo Bertolotti. The network helps show where Matteo Bertolotti may publish in the future.
Co-authors
The 25 scholars most cited alongside Matteo Bertolotti, 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 | 2014 | 122 | |
| 2 | 2015 | 116 | |
| 3 | 2017 | 38 | |
| 4 | 2017 | 35 | |
| 5 | 2010 | 11 | |
| 6 | 2016 | 5 |
About Matteo Bertolotti
Matteo Bertolotti is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Oncology and Clinical Biochemistry, having authored 6 papers that have together received 327 indexed citations. Recurring topics across this work include Advanced Glycation End Products research (2 papers), Cardiac Fibrosis and Remodeling (2 papers), Cancer Genomics and Diagnostics (1 paper), Telomeres, Telomerase, and Senescence (1 paper), S100 Proteins and Annexins (1 paper), Chemotherapy-induced cardiotoxicity and mitigation (1 paper), Peptidase Inhibition and Analysis (1 paper) and Circular RNAs in diseases (1 paper). The work is most often cited by research in Cancer Research (155 citations), Clinical Biochemistry (31 citations), Geriatrics and Gerontology (13 citations), Molecular Biology (174 citations) and Cardiology and Cardiovascular Medicine (48 citations). Matteo Bertolotti has collaborated with scholars based in Italy, Germany and Switzerland. Frequent co-authors include Angela Raucci, Giulio Pompilio, Ileana Badi, Alessandro Scopece, Maurizio C. Capogrossi, Filippo Zeni, Ilaria Burba, Yuri D’Alessandra, Marco Zanobini and Patrizia Nigro. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Journal of Molecular and Cellular Cardiology, The Journals of Gerontology Series A, Molecular Cancer Therapeutics 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.