Angelo Boccia
Impact in
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- Cancer-related Molecular Pathways
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- PI3K/AKT/mTOR signaling in cancer
- Ubiquitin and proteasome pathways
Papers in
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- Ubiquitin and proteasome pathways 4
- Genomics and Phylogenetic Studies 3
- Genomics and Chromatin Dynamics 3
- RNA and protein synthesis mechanisms 3
- PI3K/AKT/mTOR signaling in cancer 2
- Epigenetics and DNA Methylation 2
- Protein Degradation and Inhibitors 1
- Oncology 6
- Cancer-related Molecular Pathways 4
- Co-authors
- Giuseppe Viglietto (10 shared papers)Alfredo Fusco (10 shared papers)Gustavo Baldassarre (8 shared papers)Paola Bruni (7 shared papers)Gennaro Chiappetta (4 shared papers)Francesco Trapasso (2 shared papers)Giovanni Paolella (9 shared papers)Barbara Belletti (6 shared papers)
In The Last Decade
Angelo Boccia
24 papers receiving 819 citations
Peers
Comparison fields: 5 of 89
- Oncology 228
- Molecular Biology 566
- Cancer Research 119
- Endocrinology, Diabetes and Metabolism 85
- Reproductive Medicine 39
Countries citing papers authored by Angelo Boccia
This map shows the geographic impact of Angelo Boccia'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 Angelo Boccia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angelo Boccia more than expected).
Fields of papers citing papers by Angelo Boccia
This network shows the impact of papers produced by Angelo Boccia. 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 Angelo Boccia. The network helps show where Angelo Boccia may publish in the future.
Co-authors
The 25 scholars most cited alongside Angelo Boccia, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 126 | |
| 2 | 1999 | 110 | |
| 3 | 2005 | 97 | |
| 4 | 2003 | 67 | |
| 5 | 2005 | 67 | |
| 6 | Retinoic acid induces neuronal differentiation of embryonal carcinoma cells by reducing proteasome-dependent proteolysis of the cyclin-dependent inhibitor p27. | 2000 | 61 |
| 7 | 2001 | 44 | |
| 8 | 1999 | 40 | |
| 9 | 2013 | 38 | |
| 10 | 2010 | 34 | |
| 11 | 2006 | 29 | |
| 12 | 2009 | 28 | |
| 13 | 2003 | 22 | |
| 14 | 1988 | 19 | |
| 15 | 2002 | 16 | |
| 16 | 2004 | 11 | |
| 17 | 2022 | 9 | |
| 18 | 1999 | 9 | |
| 19 | 1989 | 3 | |
| 20 | 2022 | 3 |
About Angelo Boccia
Angelo Boccia is a scholar working on Molecular Biology, Oncology, Cardiology and Cardiovascular Medicine, Neurology and Physiology, having authored 26 papers that have together received 837 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Ubiquitin and proteasome pathways (4 papers), Genomics and Phylogenetic Studies (3 papers), Genomics and Chromatin Dynamics (3 papers), RNA and protein synthesis mechanisms (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Epigenetics and DNA Methylation (2 papers) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Oncology (228 citations), Molecular Biology (566 citations), Cancer Research (119 citations), Endocrinology, Diabetes and Metabolism (85 citations) and Reproductive Medicine (39 citations). Angelo Boccia has collaborated with scholars based in Italy, Germany and India. Frequent co-authors include Giuseppe Viglietto, Alfredo Fusco, Gustavo Baldassarre, Paola Bruni, Gennaro Chiappetta, Francesco Trapasso, Giovanni Paolella, Barbara Belletti, Maria Vittoria Barone and Massimo Santoro. Their work appears in journals such as Oncogene, International Journal of Molecular Sciences, BMC Bioinformatics, Carcinogenesis and Journal of Clinical Investigation.
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.