Claudio D’Amore
- Oncology top 5%
- Drug Transport and Resistance Mechanisms 18
- Hepatology top 5%
- Toxicology top 2%
- Biotechnology top 2%
- Marine Sponges and Natural Products 5
- Pharmacology top 2%
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- Cholesterol and Lipid Metabolism 10
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- Estrogen and related hormone effects 10
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- Liver Disease Diagnosis and Treatment 6
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- Protein Kinase Regulation and GTPase Signaling 5
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- Cystic Fibrosis Research Advances 5
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- HIV-related health complications and treatments 5
- Co-authors
- Stefano FiorucciBarbara RengaAndrea MencarelliSabrina CiprianiAngela ZampellaEleonora DistruttiMauro SalviChristian Borgo
- Cited by
- OncologyHepatologyToxicology
- Partner nations
- ItalyJapanNew Zealand
In The Last Decade
Claudio D’Amore
72 papers receiving 2.4k citations
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 7 | |
| 3 | 2022 | 3 | |
| 4 | 2022 | 3 | |
| 5 | 2021 | 16 | |
| 6 | 2021 | 4 | |
| 7 | 2021 | 1 | |
| 8 | 2020 | 17 | |
| 9 | 2019 | 10 | |
| 10 | 2015 | 49 | |
| 11 | 2014 | 15 | |
| 12 | 2013 | 15 | |
| 13 | 2013 | 17 | |
| 14 | 2012 | 71 | |
| 15 | 2012 | 19 | |
| 16 | 2012 | 94 | |
| 17 | 2012 | 21 | |
| 18 | 2012 | 17 | |
| 19 | 2011 | 47 | |
| 20 | 2011 | 29 |
About Claudio D’Amore
Claudio D’Amore is a scholar working on Toxicology, Virology, Oncology, Biotechnology and Biochemistry, 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), Cholesterol and Lipid Metabolism (10 papers), Estrogen and related hormone effects (10 papers), Liver Disease Diagnosis and Treatment (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Marine Sponges and Natural Products (5 papers), Cystic Fibrosis Research Advances (5 papers) and HIV-related health complications and treatments (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.