Claudio D’Amore
Impact in
- Oncology top 5%
- Drug Transport and Resistance Mechanisms
- Hepatology top 5%
- Liver Diseases and Immunity
Papers in
- Oncology 21
- Drug Transport and Resistance Mechanisms 18
- Co-authors
- Stefano Fiorucci (49 shared papers)Barbara Renga (44 shared papers)Andrea Mencarelli (24 shared papers)Sabrina Cipriani (24 shared papers)Angela Zampella (26 shared papers)Eleonora Distrutti (16 shared papers)Mauro Salvi (16 shared papers)Christian Borgo (14 shared papers)
- Journals
- Journal of Medicinal Chemistry (10 papers)PLoS ONE (8 papers)Marine Drugs (6 papers)International Journal of Molecular Sciences (4 papers)Steroids (3 papers)
- Partner nations
- ItalyJapanNew Zealand
In The Last Decade
Claudio D’Amore
72 papers receiving 2.4k citations
Claudio D’Amore's Hit Papers
Peers
Comparison fields: 5 of 108
- Oncology 854
- Hepatology 227
- Toxicology 93
- Biotechnology 209
- Pharmacology 189
Countries citing papers authored by Claudio D’Amore
This map shows the geographic impact of Claudio D’Amore'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 Claudio D’Amore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudio D’Amore more than expected).
Fields of papers citing papers by Claudio D’Amore
This network shows the impact of papers produced by Claudio D’Amore. 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 Claudio D’Amore. The network helps show where Claudio D’Amore may publish in the future.
Co-authors
The 25 scholars most cited alongside Claudio D’Amore, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Protein kinase CK2: a potential therapeutic target for diverse human diseases Hit paper breakdown → | 2021 | 223 |
| 2 | 2013 | 124 | |
| 3 | 2011 | 100 | |
| 4 | 2013 | 97 | |
| 5 | 2012 | 94 | |
| 6 | 2011 | 82 | |
| 7 | 2014 | 80 | |
| 8 | 2012 | 71 | |
| 9 | 2014 | 71 | |
| 10 | 2011 | 63 | |
| 11 | 2020 | 63 | |
| 12 | 2014 | 63 | |
| 13 | 2011 | 62 | |
| 14 | 2011 | 62 | |
| 15 | 2012 | 52 | |
| 16 | 2015 | 49 | |
| 17 | 2013 | 49 | |
| 18 | 2012 | 49 | |
| 19 | 2011 | 47 | |
| 20 | 2013 | 47 |
About Claudio D’Amore
Claudio D’Amore is a scholar working on Molecular Biology, Oncology, Surgery, Epidemiology and Immunology, having authored 72 papers that have together received 2.4k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (18 papers), Estrogen and related hormone effects (10 papers), Cholesterol and Lipid Metabolism (10 papers), Liver Disease Diagnosis and Treatment (6 papers), HIV-related health complications and treatments (5 papers), Cystic Fibrosis Research Advances (5 papers), HIV Research and Treatment (5 papers) and Marine Sponges and Natural Products (5 papers). The work is most often cited by research in Oncology (854 citations), Hepatology (227 citations), Toxicology (93 citations), Biotechnology (209 citations) and Pharmacology (189 citations). Claudio D’Amore has collaborated with scholars based in Italy, Japan and New Zealand. Frequent co-authors include Stefano Fiorucci, Barbara Renga, Andrea Mencarelli, Sabrina Cipriani, Angela Zampella, Eleonora Distrutti, Mauro Salvi, Christian Borgo, Valentina Sepe and Stefania Sarno. Their work appears in journals such as Journal of Medicinal Chemistry, PLoS ONE, Marine Drugs, International Journal of Molecular Sciences and Steroids.
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.