Ruby Alonso
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
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- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 14
- T-cell and B-cell Immunology 8
- Immune Cell Function and Interaction 8
- Immunotherapy and Immune Responses 6
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- Glycosylation and Glycoproteins Research 3
- Cell death mechanisms and regulation 2
- Co-authors
- Enrique Montero (5 shared papers)Olivier Lantz (4 shared papers)Virginie Prémel (3 shared papers)Aurélie Darbois (2 shared papers)Laurie Menger (2 shared papers)Marion Salou (2 shared papers)Yves Renaudineau (5 shared papers)François Legoux (1 shared paper)
In The Last Decade
Ruby Alonso
20 papers receiving 677 citations
Peers
Comparison fields: 5 of 76
- Immunology 418
- Oncology 187
- Radiology, Nuclear Medicine and Imaging 79
- Neurology 19
- Genetics 23
Countries citing papers authored by Ruby Alonso
This map shows the geographic impact of Ruby Alonso'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 Ruby Alonso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruby Alonso more than expected).
Fields of papers citing papers by Ruby Alonso
This network shows the impact of papers produced by Ruby Alonso. 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 Ruby Alonso. The network helps show where Ruby Alonso may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruby Alonso, 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 | 2018 | 141 | |
| 2 | 2003 | 80 | |
| 3 | 2023 | 76 | |
| 4 | 2018 | 70 | |
| 5 | 2010 | 56 | |
| 6 | 2010 | 44 | |
| 7 | 2007 | 42 | |
| 8 | 2009 | 28 | |
| 9 | 2010 | 28 | |
| 10 | 2008 | 27 | |
| 11 | 2009 | 20 | |
| 12 | 2013 | 19 | |
| 13 | 2019 | 17 | |
| 14 | 2024 | 15 | |
| 15 | 2008 | 15 | |
| 16 | 2015 | 7 | |
| 17 | 2009 | 3 | |
| 18 | Autoreactive B cells and epigenetics. | 2010 | 3 |
| 19 | 2010 | 1 | |
| 20 | 2010 | 1 |
About Ruby Alonso
Ruby Alonso is a scholar working on Immunology, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 22 papers that have together received 693 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (8 papers), Immunotherapy and Immune Responses (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Immunology (418 citations), Oncology (187 citations), Radiology, Nuclear Medicine and Imaging (79 citations), Neurology (19 citations) and Genetics (23 citations). Ruby Alonso has collaborated with scholars based in Cuba, France and Spain. Frequent co-authors include Enrique Montero, Olivier Lantz, Virginie Prémel, Aurélie Darbois, Laurie Menger, Marion Salou, Yves Renaudineau, François Legoux, Pierre Youinou and Jules Gilet. Their work appears in journals such as International Immunopharmacology, The Journal of Experimental Medicine, Clinical Reviews in Allergy & Immunology, International Immunology and Nature Communications.
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.