Silvia Rizzi
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in
-
- Lymphoma Diagnosis and Treatment 11
- Genetics 9
- Chronic Lymphocytic Leukemia Research 8
- Co-authors
- Rune Lindahl‐Jacobsen (12 shared papers)James W. Vaupel (7 shared papers)Luca Arcaini (12 shared papers)Sara Rattotti (10 shared papers)Marco Paulli (11 shared papers)Michele Merli (11 shared papers)Jutta Gampe (1 shared paper)Paul H.C. Eilers (1 shared paper)
- Journals
- Blood (4 papers)American Journal of Epidemiology (2 papers)Scandinavian Journal of Public Health (2 papers)International Journal of Epidemiology (2 papers)International Journal of Forecasting (1 paper)
- Partner nations
- DenmarkItalyUnited States
In The Last Decade
Silvia Rizzi
34 papers receiving 645 citations
Peers
Comparison fields: 5 of 99
- Genetics 168
- Pathology and Forensic Medicine 188
- Health 72
- Demography 81
- Hepatology 47
Countries citing papers authored by Silvia Rizzi
This map shows the geographic impact of Silvia Rizzi'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 Silvia Rizzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Rizzi more than expected).
Fields of papers citing papers by Silvia Rizzi
This network shows the impact of papers produced by Silvia Rizzi. 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 Silvia Rizzi. The network helps show where Silvia Rizzi may publish in the future.
Co-authors
The 25 scholars most cited alongside Silvia Rizzi, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 110 | |
| 2 | 2015 | 51 | |
| 3 | 2018 | 51 | |
| 4 | 2009 | 48 | |
| 5 | 2022 | 47 | |
| 6 | 2008 | 43 | |
| 7 | 2010 | 30 | |
| 8 | 2020 | 26 | |
| 9 | 2010 | 25 | |
| 10 | 2009 | 23 | |
| 11 | 2011 | 21 | |
| 12 | 2018 | 17 | |
| 13 | 2021 | 16 | |
| 14 | 2016 | 15 | |
| 15 | 2018 | 13 | |
| 16 | 2011 | 13 | |
| 17 | 2018 | 13 | |
| 18 | 2009 | 12 | |
| 19 | 2021 | 12 | |
| 20 | 2016 | 10 |
About Silvia Rizzi
Silvia Rizzi is a scholar working on Pathology and Forensic Medicine, Genetics, General Health Professions, Oncology and Demography, having authored 34 papers that have together received 655 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (11 papers), Chronic Lymphocytic Leukemia Research (8 papers), Insurance, Mortality, Demography, Risk Management (6 papers), Global Health Care Issues (5 papers), Climate Change and Health Impacts (4 papers), Viral-associated cancers and disorders (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Health disparities and outcomes (3 papers). The work is most often cited by research in Genetics (168 citations), Pathology and Forensic Medicine (188 citations), Health (72 citations), Demography (81 citations) and Hepatology (47 citations). Silvia Rizzi has collaborated with scholars based in Denmark, Italy and United States. Frequent co-authors include Rune Lindahl‐Jacobsen, James W. Vaupel, Luca Arcaini, Sara Rattotti, Marco Paulli, Michele Merli, Jutta Gampe, Paul H.C. Eilers, Cristiana Pascutto and Emanuela Boveri. Their work appears in journals such as Blood, American Journal of Epidemiology, Scandinavian Journal of Public Health, International Journal of Epidemiology and International Journal of Forecasting.
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.