Angelita Rebollo
- Molecular Biology top 5%
- Immunology top 2%
- Oncology top 5%
- Cancer Research top 10%
- Cell Biology top 5%
- Co-authors
- Carlos Martı́nez-AAlphonse Garcı́aAarne FleischerXavier CaylaVerónica AyllónChristian SchmittLaure DumoutierJean‐Christophe Renauld
- Topics
- Cell death mechanisms and regulation (30 papers)Protein Kinase Regulation and GTPase Signaling (16 papers)Ubiquitin and proteasome pathways (15 papers)
- Cited by
- ImmunologyMolecular BiologyVirology
- Journals
- SHILAP Revista de lepidopterologíaThe EMBO JournalBlood
In The Last Decade
Angelita Rebollo
108 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 117
- Molecular Biology 1.9k
- Immunology 938
- Oncology 529
- Cancer Research 280
- Cell Biology 271
Countries citing papers authored by Angelita Rebollo
This map shows the geographic impact of Angelita Rebollo'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 Angelita Rebollo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angelita Rebollo more than expected).
Fields of papers citing papers by Angelita Rebollo
This network shows the impact of papers produced by Angelita Rebollo. 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 Angelita Rebollo. The network helps show where Angelita Rebollo may publish in the future.
Co-authorship network of co-authors of Angelita Rebollo
This figure shows the co-authorship network connecting the top 25 collaborators of Angelita Rebollo. A scholar is included among the top collaborators of Angelita Rebollo 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 Angelita Rebollo. Angelita Rebollo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 110 | |
| 5 | 6 | |
| 6 | 39 | |
| 7 | 29 | |
| 8 | 36 | |
| 9 | 264 | |
| 10 | 46 | |
| 11 | 24 | |
| 12 | 132 | |
| 13 | 44 | |
| 14 | 22 | |
| 15 | 124 | |
| 16 | 35 | |
| 17 | 43 | |
| 18 | 59 | |
| 19 | 4 | |
| 20 | OX48, a monoclonal antibody against a 70,000 MW rat activation antigen expressed by T cells bearing the high-affinity interleukin-2 receptor. | 4 |
About Angelita Rebollo
Angelita Rebollo is a scholar working on Immunology, Molecular Biology and Oncology, having authored 109 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (30 papers), Protein Kinase Regulation and GTPase Signaling (16 papers) and Ubiquitin and proteasome pathways (15 papers). The work is most often cited by research in Immunology (938 citations), Molecular Biology (1.9k citations) and Virology (105 citations). Angelita Rebollo has collaborated with scholars based in France, Spain and Belgium. Frequent co-authors include Carlos Martı́nez-A, Alphonse Garcı́a, Aarne Fleischer, Xavier Cayla, Verónica Ayllón, Christian Schmitt, Laure Dumoutier, Jean‐Christophe Renauld, Dolores Pérez‐Sala and Frédéric Dessauge. Their work appears in journals such as SHILAP Revista de lepidopterología, The EMBO Journal and Blood.
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.