S. Garavelli
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
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- MicroRNA in disease regulation
Papers in
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- Extracellular vesicles in disease 4
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- Multiple Myeloma Research and Treatments 6
- Acute Myeloid Leukemia Research 2
- Co-authors
- Paola de Candia (11 shared papers)Giuseppe Matarese (8 shared papers)Francesco Prattichizzo (8 shared papers)Veronica De Rosa (4 shared papers)Antonino Neri (9 shared papers)Raffaella Chiaramonte (9 shared papers)M. Colombo (9 shared papers)Natalia Platonova (8 shared papers)
- Journals
- Oncotarget (3 papers)Frontiers in Immunology (2 papers)International Journal of Molecular Sciences (2 papers)iScience (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
S. Garavelli
22 papers receiving 758 citations
Peers
Comparison fields: 5 of 94
- Hematology 102
- Cancer Research 132
- Infectious Diseases 130
- Oncology 176
- Immunology 114
Countries citing papers authored by S. Garavelli
This map shows the geographic impact of S. Garavelli'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 S. Garavelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Garavelli more than expected).
Fields of papers citing papers by S. Garavelli
This network shows the impact of papers produced by S. Garavelli. 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 S. Garavelli. The network helps show where S. Garavelli may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Garavelli, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 133 | |
| 2 | 2019 | 83 | |
| 3 | 2021 | 78 | |
| 4 | 1986 | 69 | |
| 5 | 2015 | 49 | |
| 6 | 2014 | 43 | |
| 7 | 2015 | 37 | |
| 8 | 2018 | 37 | |
| 9 | 2016 | 35 | |
| 10 | 2020 | 29 | |
| 11 | 2020 | 28 | |
| 12 | 2015 | 25 | |
| 13 | 2019 | 24 | |
| 14 | 2019 | 22 | |
| 15 | 2020 | 21 | |
| 16 | 2020 | 19 | |
| 17 | 2016 | 15 | |
| 18 | 2021 | 11 | |
| 19 | 2021 | 5 | |
| 20 | 2021 | 1 |
About S. Garavelli
S. Garavelli is a scholar working on Molecular Biology, Hematology, Immunology, Cancer Research and Oncology, having authored 22 papers that have together received 766 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (6 papers), MicroRNA in disease regulation (5 papers), Extracellular vesicles in disease (4 papers), Diabetes and associated disorders (3 papers), Pancreatic function and diabetes (2 papers), Long-Term Effects of COVID-19 (2 papers), Phagocytosis and Immune Regulation (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Hematology (102 citations), Cancer Research (132 citations), Infectious Diseases (130 citations), Oncology (176 citations) and Immunology (114 citations). S. Garavelli has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Paola de Candia, Giuseppe Matarese, Francesco Prattichizzo, Veronica De Rosa, Antonino Neri, Raffaella Chiaramonte, M. Colombo, Natalia Platonova, Carlo Alviggi and Antonio La Cava. Their work appears in journals such as Oncotarget, Frontiers in Immunology, International Journal of Molecular Sciences, iScience and The International Journal of Biochemistry & Cell Biology.
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.