M. Ángela Aznar
- Immunology top 1%
- Oncology top 2%
- Molecular Biology top 10%
- Biomedical Engineering top 10%
- Genetics top 10%
- Co-authors
- Ignacio MeleroJosé Luis Perez‐GraciaMaría E. Rodríguez-RuizIñaki EtxeberríaPedro BerraondoMiguel F. SanmamedMaría C. OchoaMariano Ponz‐Sarvisé
- Topics
- CAR-T cell therapy research (10 papers)Immune Cell Function and Interaction (10 papers)Immunotherapy and Immune Responses (8 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- Nature reviews. CancerBloodImmunity
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
M. Ángela Aznar
23 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Immunology 1.5k
- Oncology 1.5k
- Molecular Biology 715
- Biomedical Engineering 295
- Genetics 206
Countries citing papers authored by M. Ángela Aznar
This map shows the geographic impact of M. Ángela Aznar'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 M. Ángela Aznar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Ángela Aznar more than expected).
Fields of papers citing papers by M. Ángela Aznar
This network shows the impact of papers produced by M. Ángela Aznar. 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 M. Ángela Aznar. The network helps show where M. Ángela Aznar may publish in the future.
Co-authorship network of co-authors of M. Ángela Aznar
This figure shows the co-authorship network connecting the top 25 collaborators of M. Ángela Aznar. A scholar is included among the top collaborators of M. Ángela Aznar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Ángela Aznar. M. Ángela Aznar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Deletion of the inhibitory co-receptor CTLA-4 enhances and invigorates chimeric antigen receptor T cellsbreakdown → | 104 |
| 3 | 103 | |
| 4 | 32 | |
| 5 | 65 | |
| 6 | 7 | |
| 7 | Cytokines in clinical cancer immunotherapybreakdown → | 855 |
| 8 | 35 | |
| 9 | 1 | |
| 10 | 31 | |
| 11 | 10 | |
| 12 | 47 | |
| 13 | 99 | |
| 14 | 362 | |
| 15 | 89 | |
| 16 | Evolving synergistic combinations of targeted immunotherapies to combat cancerbreakdown → | 498 |
| 17 | 22 | |
| 18 | 25 | |
| 19 | 61 | |
| 20 | 21 |
About M. Ángela Aznar
M. Ángela Aznar is a scholar working on Immunology, Oncology and Cancer Research, having authored 23 papers that have together received 2.5k indexed citations. Recurring topics across this work include CAR-T cell therapy research (10 papers), Immune Cell Function and Interaction (10 papers) and Immunotherapy and Immune Responses (8 papers). The work is most often cited by research in Immunology (1.5k citations), Oncology (1.5k citations) and Cancer Research (201 citations). M. Ángela Aznar has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Ignacio Melero, José Luis Perez‐Gracia, María E. Rodríguez-Ruiz, Iñaki Etxeberría, Pedro Berraondo, Miguel F. Sanmamed, María C. Ochoa, Mariano Ponz‐Sarvisé, Alan J. Korman and Eduardo Castañón. Their work appears in journals such as Nature reviews. Cancer, Blood and Immunity.
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.