Daniela D’Angelo
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Pituitary Gland Disorders and Treatments
- Thyroid Cancer Diagnosis and Treatment
Papers in
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- MicroRNA in disease regulation 10
- Cancer-related molecular mechanisms research 4
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- Pituitary Gland Disorders and Treatments 5
- Co-authors
- Alfredo Fusco (21 shared papers)Paula Müssnich (8 shared papers)Jacqueline Trouillas (5 shared papers)Carlo Maria Croce (5 shared papers)Anne Wierinckx (4 shared papers)Vincenza Leone (5 shared papers)Dario Palmieri (4 shared papers)Gérald Raverot (4 shared papers)
In The Last Decade
Daniela D’Angelo
29 papers receiving 1k citations
Peers
Comparison fields: 5 of 64
- Cancer Research 453
- Endocrinology, Diabetes and Metabolism 290
- Molecular Biology 266
- Biotechnology 23
- Oncology 74
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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 132 | |
| 2 | 2011 | 100 | |
| 3 | 2011 | 84 | |
| 4 | 2014 | 77 | |
| 5 | 2011 | 63 | |
| 6 | 2019 | 57 | |
| 7 | 2015 | 49 | |
| 8 | 2015 | 48 | |
| 9 | 1999 | 45 | |
| 10 | 2014 | 40 | |
| 11 | 2012 | 34 | |
| 12 | 2013 | 33 | |
| 13 | 2016 | 33 | |
| 14 | 2012 | 32 | |
| 15 | 2011 | 30 | |
| 16 | 2016 | 30 | |
| 17 | 2013 | 23 | |
| 18 | 2009 | 22 | |
| 19 | 2012 | 19 | |
| 20 | 2015 | 18 |
About Daniela D’Angelo
Daniela D’Angelo is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism, Molecular Biology, Biotechnology and Hematology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Pituitary Gland Disorders and Treatments (5 papers), Cancer-related molecular mechanisms research (4 papers), Cancer therapeutics and mechanisms (2 papers), Marine Sponges and Natural Products (2 papers), Cancer Mechanisms and Therapy (2 papers), Signaling Pathways in Disease (1 paper) and Proteoglycans and glycosaminoglycans research (1 paper). The work is most often cited by research in Cancer Research (453 citations), Endocrinology, Diabetes and Metabolism (290 citations), Molecular Biology (266 citations), Biotechnology (23 citations) and Oncology (74 citations). Daniela D’Angelo has collaborated with scholars based in Italy, Brazil and France. Frequent co-authors include Alfredo Fusco, Paula Müssnich, Jacqueline Trouillas, Carlo Maria Croce, Anne Wierinckx, Vincenza Leone, Dario Palmieri, Gérald Raverot, Monica Fedele and Pierlorenzo Pallante. Their work appears in journals such as Cancers, Oncotarget, The Journal of Clinical Endocrinology & Metabolism, Blood and Journal of Molecular Medicine.
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.