Roberto E. Dina
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
Papers in
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- Thyroid Cancer Diagnosis and Treatment 8
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- Ovarian cancer diagnosis and treatment 6
- Co-authors
- G. Angus McIndoe (9 shared papers)W. Patrick Soutter (11 shared papers)Nandita M. deSouza (9 shared papers)Vincenzo Eusebi (7 shared papers)Sadaf Ghaem‐Maghami (10 shared papers)Jan Joris Brosens (4 shared papers)Eric W.‐F. Lam (2 shared papers)Aldo Scarpa (6 shared papers)
- Journals
- Cytopathology (10 papers)British Journal of Cancer (4 papers)Clinical Cancer Research (4 papers)Histopathology (4 papers)American Journal of Roentgenology (3 papers)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Roberto E. Dina
84 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 65
- Cancer Research 273
- Reproductive Medicine 137
- Epidemiology 426
- Obstetrics and Gynecology 113
- Oncology 226
Countries citing papers authored by Roberto E. Dina
This map shows the geographic impact of Roberto E. Dina'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 Roberto E. Dina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto E. Dina more than expected).
Fields of papers citing papers by Roberto E. Dina
This network shows the impact of papers produced by Roberto E. Dina. 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 Roberto E. Dina. The network helps show where Roberto E. Dina may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto E. Dina, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 297 | |
| 2 | 2008 | 194 | |
| 3 | 2011 | 154 | |
| 4 | 1990 | 128 | |
| 5 | 2001 | 112 | |
| 6 | 2014 | 95 | |
| 7 | 2007 | 93 | |
| 8 | 2008 | 71 | |
| 9 | 2004 | 67 | |
| 10 | 2009 | 65 | |
| 11 | 2005 | 63 | |
| 12 | 2006 | 62 | |
| 13 | 2009 | 61 | |
| 14 | 2017 | 60 | |
| 15 | 2004 | 54 | |
| 16 | 1984 | 53 | |
| 17 | 2004 | 50 | |
| 18 | 2012 | 47 | |
| 19 | 2016 | 46 | |
| 20 | 2013 | 45 |
About Roberto E. Dina
Roberto E. Dina is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Epidemiology, Surgery and Oncology, having authored 86 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (9 papers), Thyroid Cancer Diagnosis and Treatment (8 papers), Ovarian cancer diagnosis and treatment (6 papers), Colorectal Cancer Screening and Detection (3 papers), AI in cancer detection (3 papers), Adrenal and Paraganglionic Tumors (3 papers), Innovations in Medical Education (2 papers) and Endometrial and Cervical Cancer Treatments (2 papers). The work is most often cited by research in Cancer Research (273 citations), Reproductive Medicine (137 citations), Epidemiology (426 citations), Obstetrics and Gynecology (113 citations) and Oncology (226 citations). Roberto E. Dina has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include G. Angus McIndoe, W. Patrick Soutter, Nandita M. deSouza, Vincenzo Eusebi, Sadaf Ghaem‐Maghami, Jan Joris Brosens, Eric W.‐F. Lam, Aldo Scarpa, Giuseppe Franzin and Maria Luisa Carcangiu. Their work appears in journals such as Cytopathology, British Journal of Cancer, Clinical Cancer Research, Histopathology and American Journal of Roentgenology.
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.