Ariel Savina
- Immunology top 0.5%
- Immunotherapy and Immune Responses 18
- Immune Cell Function and Interaction 13
- T-cell and B-cell Immunology 8
- Immune cells in cancer 6
- Cancer Research top 0.5%
- Molecular Biology top 1%
- Extracellular vesicles in disease 5
- Physiology top 1%
- Immunology and Allergy top 2%
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- Monoclonal and Polyclonal Antibodies Research 10
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- HER2/EGFR in Cancer Research 7
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- Lymphoma Diagnosis and Treatment 6
- Co-authors
- Sebastián AmigorenaMaría Isabel ColomboOlivier JoffreÉlodie SeguraMichel VidalMiguel C. SeabraGraça RaposoLuís F. Moita
- Journals
- Cell (2 papers)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- FranceSwitzerlandUnited States
In The Last Decade
Ariel Savina
58 papers receiving 8.8k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Immunology 4.2k
- Cancer Research 2.0k
- Molecular Biology 5.1k
- Physiology 220
- Immunology and Allergy 282
Countries citing papers authored by Ariel Savina
This map shows the geographic impact of Ariel Savina'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 Ariel Savina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ariel Savina more than expected).
Fields of papers citing papers by Ariel Savina
This network shows the impact of papers produced by Ariel Savina. 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 Ariel Savina. The network helps show where Ariel Savina may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ariel Savina, 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 | 2020 | 25 | |
| 2 | 2019 | 24 | |
| 3 | 2019 | 21 | |
| 4 | 2018 | 14 | |
| 5 | 2018 | 137 | |
| 6 | 2018 | 14 | |
| 7 | 2017 | 17 | |
| 8 | 2017 | 18 | |
| 9 | 2016 | 9 | |
| 10 | 2015 | 148 | |
| 11 | 2013 | 29 | |
| 12 | 2013 | 47 | |
| 13 | 2013 | 16 | |
| 14 | 2012 | 69 | |
| 15 | 2012 | 109 | |
| 16 | 2011 | 242 | |
| 17 | 2009 | 46 | |
| 18 | 2009 | 232 | |
| 19 | 2007 | 415 | |
| 20 | 2004 | 402 |
About Ariel Savina
Ariel Savina is a scholar working on Immunology, Oncology and Pathology and Forensic Medicine, having authored 59 papers that have together received 8.9k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (18 papers), Immune Cell Function and Interaction (13 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), T-cell and B-cell Immunology (8 papers), HER2/EGFR in Cancer Research (7 papers), Immune cells in cancer (6 papers), Lymphoma Diagnosis and Treatment (6 papers) and Extracellular vesicles in disease (5 papers). The work is most often cited by research in Immunology (4.2k citations), Cancer Research (2.0k citations) and Molecular Biology (5.1k citations). Ariel Savina has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Sebastián Amigorena, María Isabel Colombo, Olivier Joffre, Élodie Segura, Michel Vidal, Miguel C. Seabra, Graça Raposo, Luís F. Moita, Catarina Moita and Nir Hacohen. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.