Begonya Comin-Anduix
- Immunology top 1%
- Immunotherapy and Immune Responses 19
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 7
- Oncology top 1%
- CAR-T cell therapy research 12
- Cancer Immunotherapy and Biomarkers 10
- Cytokine Signaling Pathways and Interactions 4
- Molecular Biology top 5%
- Melanoma and MAPK Pathways 11
- Cancer Research top 5%
- Genetics top 10%
- Virus-based gene therapy research 6
- Co-authors
- Antoni RibasThomas G. GraeberRichard C. KoyaHelena Escuin-OrdinasThinle ChodonRoger S. LoBlanca Homet MorenoSiwen Hu‐Lieskovan
- Cited by
- ImmunologyOncologyMolecular Biology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesSpainNetherlands
In The Last Decade
Begonya Comin-Anduix
42 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Immunology 2.1k
- Oncology 2.6k
- Molecular Biology 1.7k
- Cancer Research 338
- Genetics 142
Countries citing papers authored by Begonya Comin-Anduix
This map shows the geographic impact of Begonya Comin-Anduix'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 Begonya Comin-Anduix with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Begonya Comin-Anduix more than expected).
Fields of papers citing papers by Begonya Comin-Anduix
This network shows the impact of papers produced by Begonya Comin-Anduix. 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 Begonya Comin-Anduix. The network helps show where Begonya Comin-Anduix may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Begonya Comin-Anduix, 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 | 32 | |
| 2 | 2024 | 1 | |
| 3 | 2018 | 12 | |
| 4 | Interferon Receptor Signaling Pathways Regulating PD-L1 and PD-L2 Expressionbreakdown → | 2017 | 1327 |
| 5 | 2016 | 75 | |
| 6 | 2014 | 285 | |
| 7 | 2014 | 85 | |
| 8 | 2013 | 112 | |
| 9 | 2012 | 187 | |
| 10 | 2011 | 60 | |
| 11 | 2011 | 27 | |
| 12 | 2011 | 78 | |
| 13 | 2011 | 183 | |
| 14 | 2009 | 288 | |
| 15 | 2008 | 115 | |
| 16 | 2008 | 84 | |
| 17 | 2008 | 17 | |
| 18 | 2007 | 35 | |
| 19 | 2005 | 23 | |
| 20 | 2004 | 89 |
About Begonya Comin-Anduix
Begonya Comin-Anduix is a scholar working on Immunology, Oncology and Toxicology, having authored 42 papers that have together received 4.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (19 papers), CAR-T cell therapy research (12 papers), Melanoma and MAPK Pathways (11 papers), Cancer Immunotherapy and Biomarkers (10 papers), Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (7 papers), Virus-based gene therapy research (6 papers) and Cytokine Signaling Pathways and Interactions (4 papers). The work is most often cited by research in Immunology (2.1k citations), Oncology (2.6k citations) and Molecular Biology (1.7k citations). Begonya Comin-Anduix has collaborated with scholars based in United States, Spain and Netherlands. Frequent co-authors include Antoni Ribas, Thomas G. Graeber, Richard C. Koya, Helena Escuin-Ordinas, Thinle Chodon, Roger S. Lo, Blanca Homet Moreno, Siwen Hu‐Lieskovan, Ángel García-Díaz and Willy Hugo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature 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.