Rafael González‐Cano
- Molecular Biology
- Physiology top 10%
- Cellular and Molecular Neuroscience top 5%
- Pharmacology
- Environmental Chemistry top 10%
- Co-authors
- Francisco R. NietoEnrique J. CobosMiguel Á. TejadaCristina Sánchez–FernándezJosé M. BaeyensCruz Miguel CendánÁngeles Montilla‐GarcíaM. Carmen Ruiz‐Cantero
- Topics
- Pain Mechanisms and Treatments (18 papers)Pharmacological Receptor Mechanisms and Effects (15 papers)Neuropeptides and Animal Physiology (14 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Rafael González‐Cano
29 papers receiving 793 citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 472
- Physiology 336
- Cellular and Molecular Neuroscience 326
- Pharmacology 85
- Environmental Chemistry 63
Countries citing papers authored by Rafael González‐Cano
This map shows the geographic impact of Rafael González‐Cano'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 González‐Cano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael González‐Cano more than expected).
Fields of papers citing papers by Rafael González‐Cano
This network shows the impact of papers produced by Rafael González‐Cano. 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 González‐Cano. The network helps show where Rafael González‐Cano may publish in the future.
Co-authorship network of co-authors of Rafael González‐Cano
This figure shows the co-authorship network connecting the top 25 collaborators of Rafael González‐Cano. A scholar is included among the top collaborators of Rafael González‐Cano 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 González‐Cano. Rafael González‐Cano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 8 | |
| 9 | 10 | |
| 10 | 33 | |
| 11 | 8 | |
| 12 | 41 | |
| 13 | 43 | |
| 14 | 61 | |
| 15 | 12 | |
| 16 | 51 | |
| 17 | 33 | |
| 18 | 26 | |
| 19 | 64 | |
| 20 | 70 |
About Rafael González‐Cano
Rafael González‐Cano is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Physiology, having authored 32 papers that have together received 808 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (18 papers), Pharmacological Receptor Mechanisms and Effects (15 papers) and Neuropeptides and Animal Physiology (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (326 citations), Physiology (336 citations) and Behavioral Neuroscience (32 citations). Rafael González‐Cano has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Francisco R. Nieto, Enrique J. Cobos, Miguel Á. Tejada, Cristina Sánchez–Fernández, José M. Baeyens, Cruz Miguel Cendán, Ángeles Montilla‐García, M. Carmen Ruiz‐Cantero, José Manuel Entrena and Manuel Merlos. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Physiology and Scientific Reports.
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.