Rafael Fernandez-Botrán
- Immunology top 1%
- Molecular Biology
- Epidemiology top 5%
- Oncology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- E S VitettaEllen S. VitettaVirginia M. SandersV M SandersTracy L. StevensA BossieTimothy R. MosmannRobert L. Coffman
- Topics
- Immune Cell Function and Interaction (19 papers)Monoclonal and Polyclonal Antibodies Research (15 papers)T-cell and B-cell Immunology (12 papers)
- Partner nations
- United StatesItalyCosta Rica
In The Last Decade
Rafael Fernandez-Botrán
97 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Immunology 1.8k
- Molecular Biology 638
- Epidemiology 607
- Oncology 444
- Radiology, Nuclear Medicine and Imaging 400
Countries citing papers authored by Rafael Fernandez-Botrán
This map shows the geographic impact of Rafael Fernandez-Botrán'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 Rafael Fernandez-Botrán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Fernandez-Botrán more than expected).
Fields of papers citing papers by Rafael Fernandez-Botrán
This network shows the impact of papers produced by Rafael Fernandez-Botrán. 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 Rafael Fernandez-Botrán. The network helps show where Rafael Fernandez-Botrán may publish in the future.
Co-authorship network of co-authors of Rafael Fernandez-Botrán
This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Fernandez-Botrán. A scholar is included among the top collaborators of Rafael Fernandez-Botrán 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 Rafael Fernandez-Botrán. Rafael Fernandez-Botrán 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 | 13 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 15 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 15 | |
| 9 | 26 | |
| 10 | 36 | |
| 11 | 6 | |
| 12 | 14 | |
| 13 | 29 | |
| 14 | 73 | |
| 15 | 15 | |
| 16 | 88 | |
| 17 | 50 | |
| 18 | 318 | |
| 19 | Regulation of antibody isotype secretion by subsets of antigen-specific helper T cellsbreakdown → | 812 |
| 20 | 6 |
About Rafael Fernandez-Botrán
Rafael Fernandez-Botrán is a scholar working on Behavioral Neuroscience, Biological Psychiatry and Immunology, having authored 100 papers that have together received 3.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (19 papers), Monoclonal and Polyclonal Antibodies Research (15 papers) and T-cell and B-cell Immunology (12 papers). The work is most often cited by research in Immunology (1.8k citations), Behavioral Neuroscience (156 citations) and Biological Psychiatry (109 citations). Rafael Fernandez-Botrán has collaborated with scholars based in United States, Italy and Costa Rica. Frequent co-authors include E S Vitetta, Ellen S. Vitetta, Virginia M. Sanders, V M Sanders, Tracy L. Stevens, A Bossie, Timothy R. Mosmann, Robert L. Coffman, Tim R. Mosmann and Tamara L. Newton. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental 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.