Stefano Rivella
Impact in
- Genetics top 0.05%
- Hemoglobinopathies and Related Disorders
- Virus-based gene therapy research
- Hematology top 0.1%
- Iron Metabolism and Disorders
- Erythropoietin and Anemia Treatment
Papers in
- Genetics 134
- Hemoglobinopathies and Related Disorders 133
- Virus-based gene therapy research 21
- Hematology 104
- Iron Metabolism and Disorders 95
- Erythropoietin and Anemia Treatment 16
- Co-authors
- Martina U. MuckenthalerMichel SadelainBruno GalyMatthias W. HentzeElizabeta NemethLaura BredaCarla CasuChad May
- Journals
- Blood (66 papers)American Journal of Hematology (8 papers)Annals of the New York Academy of Sciences (7 papers)Haematologica (6 papers)Genomics (6 papers)
- Partner nations
- United StatesItalyIsrael
In The Last Decade
Stefano Rivella
193 papers receiving 10.2k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Genetics 5.0k
- Hematology 5.0k
- Nutrition and Dietetics 1.5k
- Physiology 1.7k
- Molecular Biology 3.9k
Countries citing papers authored by Stefano Rivella
This map shows the geographic impact of Stefano Rivella'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 Stefano Rivella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Rivella more than expected).
Fields of papers citing papers by Stefano Rivella
This network shows the impact of papers produced by Stefano Rivella. 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 Stefano Rivella. The network helps show where Stefano Rivella may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stefano Rivella, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 8 | |
| 4 | Tmprss6-ASO as a tool for the treatment of Polycythemia Vera mice | 2021 | 1 |
| 5 | 2021 | 12 | |
| 6 | 2021 | 135 | |
| 7 | 2021 | 10 | |
| 8 | 2020 | 18 | |
| 9 | 2018 | 98 | |
| 10 | 2016 | 115 | |
| 11 | 2016 | 59 | |
| 12 | Recent trends in the gene therapy of β-thalassemia | 2015 | 17 |
| 13 | 2015 | 3 | |
| 14 | 2015 | 31 | |
| 15 | 2014 | 71 | |
| 16 | 2013 | 72 | |
| 17 | 2013 | 13 | |
| 18 | 2012 | 19 | |
| 19 | 2007 | 254 | |
| 20 | 1994 | 16 |
About Stefano Rivella
Stefano Rivella is a scholar working on Genetics, Hematology, Physiology, Nutrition and Dietetics and Genetics, having authored 195 papers that have together received 10.4k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (133 papers), Iron Metabolism and Disorders (95 papers), Erythrocyte Function and Pathophysiology (60 papers), CRISPR and Genetic Engineering (24 papers), Virus-based gene therapy research (21 papers), Trace Elements in Health (20 papers), Erythropoietin and Anemia Treatment (16 papers) and Prenatal Screening and Diagnostics (14 papers). The work is most often cited by research in Genetics (5.0k citations), Hematology (5.0k citations), Nutrition and Dietetics (1.5k citations), Physiology (1.7k citations) and Molecular Biology (3.9k citations). Stefano Rivella has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include Martina U. Muckenthaler, Michel Sadelain, Bruno Galy, Matthias W. Hentze, Elizabeta Nemeth, Laura Breda, Carla Casu, Chad May, Tomas Ganz and Erika V. Valore. Their work appears in journals such as Blood, American Journal of Hematology, Annals of the New York Academy of Sciences, Haematologica and Genomics.
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.