Verónica González-Núñez
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Cell Biology top 10%
- Social Psychology
- Physiology
- Co-authors
- Raquel E. Rodrı́guezEzequiel Marrón Fernández de VelascoRogelio González‐SarmientoGemma ArsequellAlejandro Barrallo‐GimenoG. ValenciaJohn R. TraynorNoelia Pinal
- Topics
- Neuropeptides and Animal Physiology (16 papers)Receptor Mechanisms and Signaling (14 papers)Zebrafish Biomedical Research Applications (6 papers)
- Journals
- International Journal of Molecular SciencesNeuroscienceJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- SpainUnited KingdomHungary
In The Last Decade
Verónica González-Núñez
26 papers receiving 522 citations
Peers
Comparison fields: 5 of 72
- Cellular and Molecular Neuroscience 300
- Molecular Biology 257
- Cell Biology 165
- Social Psychology 69
- Physiology 61
Countries citing papers authored by Verónica González-Núñez
This map shows the geographic impact of Verónica González-Núñez'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 Verónica González-Núñez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Verónica González-Núñez more than expected).
Fields of papers citing papers by Verónica González-Núñez
This network shows the impact of papers produced by Verónica González-Núñez. 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 Verónica González-Núñez. The network helps show where Verónica González-Núñez may publish in the future.
Co-authorship network of co-authors of Verónica González-Núñez
This figure shows the co-authorship network connecting the top 25 collaborators of Verónica González-Núñez. A scholar is included among the top collaborators of Verónica González-Núñez 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 Verónica González-Núñez. Verónica González-Núñez 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 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 13 | |
| 7 | 28 | |
| 8 | 23 | |
| 9 | 4 | |
| 10 | 26 | |
| 11 | 24 | |
| 12 | 8 | |
| 13 | 57 | |
| 14 | 6 | |
| 15 | 11 | |
| 16 | 36 | |
| 17 | 24 | |
| 18 | 39 | |
| 19 | 10 | |
| 20 | 18 |
About Verónica González-Núñez
Verónica González-Núñez is a scholar working on Cellular and Molecular Neuroscience, Family Practice and Physiology, having authored 30 papers that have together received 531 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (16 papers), Receptor Mechanisms and Signaling (14 papers) and Zebrafish Biomedical Research Applications (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (300 citations), Cell Biology (165 citations) and Endocrine and Autonomic Systems (41 citations). Verónica González-Núñez has collaborated with scholars based in Spain, United Kingdom and Hungary. Frequent co-authors include Raquel E. Rodrı́guez, Ezequiel Marrón Fernández de Velasco, Rogelio González‐Sarmiento, Gemma Arsequell, Alejandro Barrallo‐Gimeno, G. Valencia, John R. Traynor, Noelia Pinal, Aidan Budd and Géza Tóth. Their work appears in journals such as International Journal of Molecular Sciences, Neuroscience and Journal of Pharmacology and Experimental Therapeutics.
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.