Daniela D’Angelo
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Pituitary Gland Disorders and Treatments
Papers in
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- RNA Research and Splicing 8
- Circular RNAs in diseases 4
- Genomics and Chromatin Dynamics 4
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- Cancer-related molecular mechanisms research 10
- MicroRNA in disease regulation 7
- Co-authors
- Alfredo Fusco (21 shared papers)Paula Müssnich (8 shared papers)Jacqueline Trouillas (5 shared papers)Carlo M. Croce (5 shared papers)Vincenza Leone (5 shared papers)Anne Wierinckx (4 shared papers)Dario Palmieri (4 shared papers)Gérald Raverot (4 shared papers)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (3 papers)Cancers (3 papers)Journal of Molecular Medicine (2 papers)Oncogene (2 papers)Oncotarget (2 papers)
- Partner nations
- ItalyBrazilUnited States
In The Last Decade
Daniela D’Angelo
28 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 78
- Cancer Research 507
- Endocrinology, Diabetes and Metabolism 187
- Molecular Biology 679
- Genetics 63
- Biotechnology 30
Countries citing papers authored by Daniela D’Angelo
This map shows the geographic impact of Daniela D’Angelo'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 Daniela D’Angelo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela D’Angelo more than expected).
Fields of papers citing papers by Daniela D’Angelo
This network shows the impact of papers produced by Daniela D’Angelo. 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 Daniela D’Angelo. The network helps show where Daniela D’Angelo may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela D’Angelo, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 129 | |
| 2 | 2011 | 100 | |
| 3 | 2011 | 84 | |
| 4 | 2014 | 75 | |
| 5 | 2011 | 61 | |
| 6 | 2019 | 56 | |
| 7 | 2015 | 50 | |
| 8 | 2015 | 48 | |
| 9 | 1999 | 47 | |
| 10 | 2014 | 38 | |
| 11 | 2016 | 33 | |
| 12 | 2012 | 33 | |
| 13 | 2012 | 33 | |
| 14 | 2013 | 32 | |
| 15 | 2011 | 30 | |
| 16 | 2016 | 30 | |
| 17 | 2009 | 22 | |
| 18 | 2013 | 19 | |
| 19 | 2012 | 19 | |
| 20 | 2019 | 17 |
About Daniela D’Angelo
Daniela D’Angelo is a scholar working on Molecular Biology, Cancer Research, Pharmacology, Oncology and Biotechnology, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), RNA Research and Splicing (8 papers), MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (4 papers), Genomics and Chromatin Dynamics (4 papers), Marine Sponges and Natural Products (3 papers), Microbial Natural Products and Biosynthesis (3 papers) and Sarcoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (507 citations), Endocrinology, Diabetes and Metabolism (187 citations), Molecular Biology (679 citations), Genetics (63 citations) and Biotechnology (30 citations). Daniela D’Angelo has collaborated with scholars based in Italy, Brazil and United States. Frequent co-authors include Alfredo Fusco, Paula Müssnich, Jacqueline Trouillas, Carlo M. Croce, Vincenza Leone, Anne Wierinckx, Dario Palmieri, Gérald Raverot, Monica Fedele and Pierlorenzo Pallante. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Cancers, Journal of Molecular Medicine, Oncogene and Oncotarget.
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.