Luca Cardone
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
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- Circadian rhythm and melatonin
Papers in
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- PI3K/AKT/mTOR signaling in cancer 4
- Ubiquitin and proteasome pathways 2
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- Circadian rhythm and melatonin 7
- Co-authors
- Paolo Sassone‐Corsi (6 shared papers)Jun Hirayama (3 shared papers)Jorma J. Palvimo (1 shared paper)Francesca Giordano (1 shared paper)Teruya Tamaru (1 shared paper)Enrico V. Avvedimento (5 shared papers)Masao Doi (3 shared papers)Max E. Gottesman (4 shared papers)
- Journals
- Journal of Molecular Biology (2 papers)Molecular Cell (1 paper)iScience (1 paper)BMC Medicine (1 paper)PLoS ONE (1 paper)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Luca Cardone
24 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 99
- Aging 116
- Endocrine and Autonomic Systems 367
- Molecular Biology 671
- Cancer Research 126
- Cellular and Molecular Neuroscience 132
Countries citing papers authored by Luca Cardone
This map shows the geographic impact of Luca Cardone'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 Luca Cardone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Cardone more than expected).
Fields of papers citing papers by Luca Cardone
This network shows the impact of papers produced by Luca Cardone. 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 Luca Cardone. The network helps show where Luca Cardone may publish in the future.
Co-authors
The 25 scholars most cited alongside Luca Cardone, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 273 | |
| 2 | 2008 | 176 | |
| 3 | 2004 | 99 | |
| 4 | 2002 | 94 | |
| 5 | 2003 | 90 | |
| 6 | 2005 | 85 | |
| 7 | 2019 | 78 | |
| 8 | 2005 | 77 | |
| 9 | 2017 | 61 | |
| 10 | 2008 | 49 | |
| 11 | 2013 | 44 | |
| 12 | 1999 | 41 | |
| 13 | 2002 | 41 | |
| 14 | 2016 | 35 | |
| 15 | 2005 | 28 | |
| 16 | 2015 | 14 | |
| 17 | 2003 | 13 | |
| 18 | 2020 | 8 | |
| 19 | 2012 | 8 | |
| 20 | 2024 | 5 |
About Luca Cardone
Luca Cardone is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Plant Science, Oncology and Physiology, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (7 papers), Light effects on plants (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Cancer Genomics and Diagnostics (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Ubiquitin and proteasome pathways (2 papers) and Spaceflight effects on biology (2 papers). The work is most often cited by research in Aging (116 citations), Endocrine and Autonomic Systems (367 citations), Molecular Biology (671 citations), Cancer Research (126 citations) and Cellular and Molecular Neuroscience (132 citations). Luca Cardone has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Paolo Sassone‐Corsi, Jun Hirayama, Jorma J. Palvimo, Francesca Giordano, Teruya Tamaru, Enrico V. Avvedimento, Masao Doi, Max E. Gottesman, Antonio Feliciello and S Varrone. Their work appears in journals such as Journal of Molecular Biology, Molecular Cell, iScience, BMC Medicine 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.