Carmen Priolo
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism 10
- Cancer, Hypoxia, and Metabolism 6
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer 6
- Metabolomics and Mass Spectrometry Studies 3
- Oncology top 10%
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- Prostate Cancer Treatment and Research 5
- Renal cell carcinoma treatment 4
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- Tuberous Sclerosis Complex Research 12
- Histiocytic Disorders and Treatments 3
- Co-authors
- Massimo LodaGiorgia ZadraElizabeth P. HenskeStephen P. FinnEwa SicińskaAlfredo PontecorviNatalia ScagliaCornelia Photopoulos
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (1 paper)PLoS ONE (2 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Carmen Priolo
34 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 86
- Cancer Research 498
- Molecular Biology 930
- Oncology 312
- Pulmonary and Respiratory Medicine 317
- Endocrinology, Diabetes and Metabolism 155
Countries citing papers authored by Carmen Priolo
This map shows the geographic impact of Carmen Priolo'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 Carmen Priolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen Priolo more than expected).
Fields of papers citing papers by Carmen Priolo
This network shows the impact of papers produced by Carmen Priolo. 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 Carmen Priolo. The network helps show where Carmen Priolo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carmen Priolo, 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 | 1 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 63 | |
| 6 | 2021 | 4 | |
| 7 | 2020 | 7 | |
| 8 | 2020 | 21 | |
| 9 | 2019 | 9 | |
| 10 | 2017 | 15 | |
| 11 | 2015 | 24 | |
| 12 | 2014 | 21 | |
| 13 | 2014 | 112 | |
| 14 | 2014 | 30 | |
| 15 | 2013 | 50 | |
| 16 | 2013 | 30 | |
| 17 | 2010 | 149 | |
| 18 | 2010 | 44 | |
| 19 | 2009 | 67 | |
| 20 | 2006 | 123 |
About Carmen Priolo
Carmen Priolo is a scholar working on Cancer Research, Physiology and Applied Microbiology and Biotechnology, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Tuberous Sclerosis Complex Research (12 papers), Cancer, Lipids, and Metabolism (10 papers), Cancer, Hypoxia, and Metabolism (6 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Prostate Cancer Treatment and Research (5 papers), Renal cell carcinoma treatment (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Histiocytic Disorders and Treatments (3 papers). The work is most often cited by research in Cancer Research (498 citations), Molecular Biology (930 citations) and Oncology (312 citations). Carmen Priolo has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Massimo Loda, Giorgia Zadra, Elizabeth P. Henske, Stephen P. Finn, Ewa Sicińska, Alfredo Pontecorvi, Natalia Scaglia, Cornelia Photopoulos, Alessandro Porrello and Antonella Farsetti. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.
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.