Danilo Cucchi
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Immunology top 5%
- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
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- Hedgehog Signaling Pathway Studies 7
- Epigenetics and DNA Methylation 5
- DNA Repair Mechanisms 2
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- Immune Cell Function and Interaction 4
- Immune cells in cancer 4
- Co-authors
- Claudio Mauro (10 shared papers)Valentina Pucino (5 shared papers)Joanne Smith (5 shared papers)Robert Haas (3 shared papers)Michelangelo Certo (6 shared papers)Enrico De Smaele (7 shared papers)Jurre J. Kamphorst (1 shared paper)Kevin Blighe (1 shared paper)
- Journals
- Cancer Research (2 papers)Oncotarget (2 papers)Cell Metabolism (2 papers)Nature Communications (1 paper)Future Oncology (1 paper)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Danilo Cucchi
21 papers receiving 1.5k citations
Danilo Cucchi's Hit Papers
Peers
Comparison fields: 5 of 111
- Cancer Research 287
- Immunology 392
- Biological Psychiatry 31
- Molecular Biology 799
- Oncology 213
Countries citing papers authored by Danilo Cucchi
This map shows the geographic impact of Danilo Cucchi'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 Danilo Cucchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danilo Cucchi more than expected).
Fields of papers citing papers by Danilo Cucchi
This network shows the impact of papers produced by Danilo Cucchi. 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 Danilo Cucchi. The network helps show where Danilo Cucchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Danilo Cucchi, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Lactate Buildup at the Site of Chronic Inflammation Promotes Disease by Inducing CD4+ T Cell Metabolic Rewiring Hit paper breakdown → | 2019 | 404 |
| 2 | 2017 | 191 | |
| 3 | 2016 | 150 | |
| 4 | 2017 | 118 | |
| 5 | 2016 | 96 | |
| 6 | 2017 | 87 | |
| 7 | 2011 | 80 | |
| 8 | 2018 | 66 | |
| 9 | 2017 | 56 | |
| 10 | 2020 | 50 | |
| 11 | 2019 | 49 | |
| 12 | 2020 | 42 | |
| 13 | 2016 | 39 | |
| 14 | 2016 | 35 | |
| 15 | 2019 | 34 | |
| 16 | 2021 | 29 | |
| 17 | 2012 | 11 | |
| 18 | 2022 | 8 | |
| 19 | 2023 | 3 | |
| 20 | 2025 | 1 |
About Danilo Cucchi
Danilo Cucchi is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Pathology and Forensic Medicine, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (7 papers), Epigenetics and DNA Methylation (5 papers), Immune Cell Function and Interaction (4 papers), Immune cells in cancer (4 papers), Cancer-related Molecular Pathways (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), DNA Repair Mechanisms (2 papers) and Fatty Acid Research and Health (2 papers). The work is most often cited by research in Cancer Research (287 citations), Immunology (392 citations), Biological Psychiatry (31 citations), Molecular Biology (799 citations) and Oncology (213 citations). Danilo Cucchi has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Claudio Mauro, Valentina Pucino, Joanne Smith, Robert Haas, Michelangelo Certo, Enrico De Smaele, Jurre J. Kamphorst, Kevin Blighe, Massimiliano Ruscica and Vinay Bulusu. Their work appears in journals such as Cancer Research, Oncotarget, Cell Metabolism, Nature Communications and Future Oncology.
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.