Daniel D’Andrea
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- NF-κB Signaling Pathways
-
- Protein Structure and Dynamics
- RNA modifications and cancer
- RNA Research and Splicing
- Circular RNAs in diseases
- RNA and protein synthesis mechanisms
Papers in
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- RNA Research and Splicing 3
- Gene expression and cancer classification 2
- Circular RNAs in diseases 2
- Hedgehog Signaling Pathway Studies 2
- Oncology 8
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Anna Tramontano (7 shared papers)Bohdan Monastyrskyy (2 shared papers)Andriy Kryshtafovych (2 shared papers)Krzysztof Fidelis (2 shared papers)Daria Capece (7 shared papers)Luigi Grassi (6 shared papers)Daniela Verzella (7 shared papers)Guido Franzoso (6 shared papers)
- Journals
- Proteins Structure Function and Bioinformatics (2 papers)Scientific Reports (2 papers)Nature Communications (1 paper)Cell Reports (1 paper)PLoS ONE (1 paper)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Daniel D’Andrea
24 papers receiving 660 citations
Peers
Comparison fields: 5 of 82
- Cancer Research 197
- Molecular Biology 436
- Immunology 98
- Oncology 91
- Genetics 30
Countries citing papers authored by Daniel D’Andrea
This map shows the geographic impact of Daniel D’Andrea'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 Daniel D’Andrea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel D’Andrea more than expected).
Fields of papers citing papers by Daniel D’Andrea
This network shows the impact of papers produced by Daniel D’Andrea. 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 Daniel D’Andrea. The network helps show where Daniel D’Andrea may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel D’Andrea, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 83 | |
| 2 | 2013 | 64 | |
| 3 | 2015 | 64 | |
| 4 | 2017 | 53 | |
| 5 | 2017 | 50 | |
| 6 | 2017 | 45 | |
| 7 | 2015 | 34 | |
| 8 | 2018 | 33 | |
| 9 | 2018 | 30 | |
| 10 | 2013 | 30 | |
| 11 | 2020 | 28 | |
| 12 | 2018 | 25 | |
| 13 | 2023 | 24 | |
| 14 | 2010 | 18 | |
| 15 | 2024 | 18 | |
| 16 | 2022 | 14 | |
| 17 | 2014 | 13 | |
| 18 | 2022 | 12 | |
| 19 | 2010 | 10 | |
| 20 | 2021 | 4 |
About Daniel D’Andrea
Daniel D’Andrea is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Epidemiology, having authored 25 papers that have together received 662 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), RNA Research and Splicing (3 papers), Gene expression and cancer classification (2 papers), interferon and immune responses (2 papers), Circular RNAs in diseases (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Immune Cell Function and Interaction (2 papers) and NF-κB Signaling Pathways (2 papers). The work is most often cited by research in Cancer Research (197 citations), Molecular Biology (436 citations), Immunology (98 citations), Oncology (91 citations) and Genetics (30 citations). Daniel D’Andrea has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Anna Tramontano, Bohdan Monastyrskyy, Andriy Kryshtafovych, Krzysztof Fidelis, Daria Capece, Luigi Grassi, Daniela Verzella, Guido Franzoso, Jason Bennett and Laura Tornatore. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Scientific Reports, Nature Communications, Cell Reports 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.