Léonardo Scarpellino
- Immunology top 0.5%
- T-cell and B-cell Immunology 31
- Immune Cell Function and Interaction 22
- Immunotherapy and Immune Responses 20
- Atherosclerosis and Cardiovascular Diseases 2
- Immune Response and Inflammation 2
- Oncology top 2%
- CAR-T cell therapy research 4
- Hematology top 10%
- Virology top 10%
- Genetics top 10%
- Virus-based gene therapy research 4
-
- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- Werner HeldSanjiv A. LutherHans Acha‐OrbeaSilvia A. Fuertes MarracoImran SiddiquiDaniel E. SpeiserKarin SchaeubleH. Robson MacDonald
- Cited by
- ImmunologyOncologyHematology
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (6 papers)The Journal of Experimental Medicine (5 papers)
- Partner nations
- SwitzerlandItalyUnited States
In The Last Decade
Léonardo Scarpellino
40 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Immunology 2.6k
- Oncology 1.2k
- Hematology 131
- Virology 55
- Genetics 270
Countries citing papers authored by Léonardo Scarpellino
This map shows the geographic impact of Léonardo Scarpellino'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 Léonardo Scarpellino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Léonardo Scarpellino more than expected).
Fields of papers citing papers by Léonardo Scarpellino
This network shows the impact of papers produced by Léonardo Scarpellino. 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 Léonardo Scarpellino. The network helps show where Léonardo Scarpellino may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Léonardo Scarpellino, 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 | 2023 | 2 | |
| 2 | 2023 | 27 | |
| 3 | 2020 | 126 | |
| 4 | 2009 | 2 | |
| 5 | 2009 | 99 | |
| 6 | 2007 | 70 | |
| 7 | 2004 | 153 | |
| 8 | 2003 | 14 | |
| 9 | 1999 | 33 | |
| 10 | 1997 | 31 | |
| 11 | 1996 | 20 | |
| 12 | 1993 | 124 | |
| 13 | 1993 | 67 | |
| 14 | 1992 | 124 | |
| 15 | 1992 | 2 | |
| 16 | 1992 | 29 | |
| 17 | 1990 | 5 | |
| 18 | 1990 | 17 | |
| 19 | 1986 | 95 | |
| 20 | 1985 | 65 |
About Léonardo Scarpellino
Léonardo Scarpellino is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 40 papers that have together received 3.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (31 papers), Immune Cell Function and Interaction (22 papers), Immunotherapy and Immune Responses (20 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Virus-based gene therapy research (4 papers), CAR-T cell therapy research (4 papers), Atherosclerosis and Cardiovascular Diseases (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Immunology (2.6k citations), Oncology (1.2k citations) and Hematology (131 citations). Léonardo Scarpellino has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include Werner Held, Sanjiv A. Luther, Hans Acha‐Orbea, Silvia A. Fuertes Marraco, Imran Siddiqui, Daniel E. Speiser, Karin Schaeuble, H. Robson MacDonald, Alexander N. Shakhov and Santiago J. Carmona. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.
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.