Sergio D’Antico
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Hepatology top 5%
Papers in
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- Acute Lymphoblastic Leukemia research 3
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- Retinal and Macular Surgery 4
- Co-authors
- Paola Manzini (5 shared papers)Giovanni Camussi (4 shared papers)Maria Felice Brizzi (3 shared papers)Ciro Tetta (2 shared papers)Antonio Piga (2 shared papers)Filomena Longo (2 shared papers)Mario Rizzetto (1 shared paper)Giulio Marchesini (1 shared paper)
In The Last Decade
Sergio D’Antico
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Cancer Research 266
- Hepatology 120
- Hematology 119
- Genetics 100
- Epidemiology 311
Countries citing papers authored by Sergio D’Antico
This map shows the geographic impact of Sergio D’Antico'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 Sergio D’Antico with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio D’Antico more than expected).
Fields of papers citing papers by Sergio D’Antico
This network shows the impact of papers produced by Sergio D’Antico. 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 Sergio D’Antico. The network helps show where Sergio D’Antico may publish in the future.
Co-authors
The 25 scholars most cited alongside Sergio D’Antico, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 361 | |
| 2 | 2016 | 261 | |
| 3 | 2019 | 210 | |
| 4 | 2009 | 52 | |
| 5 | 2012 | 39 | |
| 6 | 2009 | 38 | |
| 7 | 2016 | 32 | |
| 8 | 2023 | 25 | |
| 9 | 2005 | 22 | |
| 10 | 2009 | 16 | |
| 11 | 2010 | 13 | |
| 12 | 2021 | 12 | |
| 13 | Screening selected blood donors with biochemical iron overload for hemochromatosis: a regional experience. | 2004 | 11 |
| 14 | 2024 | 6 | |
| 15 | 2016 | 6 | |
| 16 | 2024 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2012 | 2 | |
| 19 | 2013 | 1 | |
| 20 | 2024 | 1 |
About Sergio D’Antico
Sergio D’Antico is a scholar working on Public Health, Environmental and Occupational Health, Radiology, Nuclear Medicine and Imaging, Hematology, Surgery and Molecular Biology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Retinal and Macular Surgery (4 papers), Extracellular vesicles in disease (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Iron Metabolism and Disorders (3 papers), MicroRNA in disease regulation (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), RNA Interference and Gene Delivery (2 papers) and Folate and B Vitamins Research (1 paper). The work is most often cited by research in Cancer Research (266 citations), Hepatology (120 citations), Hematology (119 citations), Genetics (100 citations) and Epidemiology (311 citations). Sergio D’Antico has collaborated with scholars based in Italy and Belarus. Frequent co-authors include Paola Manzini, Giovanni Camussi, Maria Felice Brizzi, Ciro Tetta, Antonio Piga, Filomena Longo, Mario Rizzetto, Giulio Marchesini, P. Massarenti and Nicola Leone. Their work appears in journals such as Eye, European Journal of Ophthalmology, Hepatology, Otolaryngology and Leukemia.
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.