Rafael Alonso
- Molecular Biology
- Genetics top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 10%
- Co-authors
- Raquel MarínMario Dı́azMiriam González‐GómezBorja GuerraCristina M. RamírezGuadalberto HernándezGundela MeyerJames D. Fraser
- Topics
- Estrogen and related hormone effects (26 papers)Multiple Myeloma Research and Treatments (18 papers)Hypothalamic control of reproductive hormones (13 papers)
- Cited by
- Behavioral NeuroscienceEndocrinology, Diabetes and MetabolismEndocrine and Autonomic Systems
- Partner nations
- SpainUnited StatesUruguay
In The Last Decade
Rafael Alonso
96 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 541
- Genetics 527
- Endocrinology, Diabetes and Metabolism 348
- Cellular and Molecular Neuroscience 272
- Physiology 246
Countries citing papers authored by Rafael Alonso
This map shows the geographic impact of Rafael 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 Rafael Alonso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Alonso more than expected).
Fields of papers citing papers by Rafael Alonso
This network shows the impact of papers produced by Rafael 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 Rafael Alonso. The network helps show where Rafael Alonso may publish in the future.
Co-authorship network of co-authors of Rafael Alonso
This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Alonso. A scholar is included among the top collaborators of Rafael Alonso 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 Alonso. Rafael Alonso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 9 | |
| 3 | 30 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 17 | |
| 8 | 1 | |
| 9 | 27 | |
| 10 | 30 | |
| 11 | 30 | |
| 12 | 26 | |
| 13 | 10 | |
| 14 | 75 | |
| 15 | 1 | |
| 16 | 16 | |
| 17 | 12 | |
| 18 | 17 | |
| 19 | 4 | |
| 20 | 7 |
About Rafael Alonso
Rafael Alonso is a scholar working on Behavioral Neuroscience, Hematology and Endocrine and Autonomic Systems, having authored 100 papers that have together received 1.6k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (26 papers), Multiple Myeloma Research and Treatments (18 papers) and Hypothalamic control of reproductive hormones (13 papers). The work is most often cited by research in Behavioral Neuroscience (145 citations), Endocrinology, Diabetes and Metabolism (348 citations) and Endocrine and Autonomic Systems (134 citations). Rafael Alonso has collaborated with scholars based in Spain, United States and Uruguay. Frequent co-authors include Raquel Marín, Mario Dı́az, Miriam González‐Gómez, Borja Guerra, Cristina M. Ramírez, Guadalberto Hernández, Gundela Meyer, James D. Fraser, Pedro Abreu and Carlos G. Pérez‐García. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.
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.