Clara Velázquez-Sánchez
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Cognitive Neuroscience top 10%
- Developmental Neuroscience top 5%
- Clinical Psychology top 10%
- Co-authors
- Antonio FerragudJuan J. CanalesVicente Hernández‐RabazaValentina SabinoPietro CottoneBarry J. EverittCatherine F. MooreJosé Luís Trejo
- Topics
- Neurotransmitter Receptor Influence on Behavior (12 papers)Receptor Mechanisms and Signaling (10 papers)Neuroscience and Neuropharmacology Research (9 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Clara Velázquez-Sánchez
21 papers receiving 880 citations
Peers
Comparison fields: 5 of 65
- Cellular and Molecular Neuroscience 577
- Molecular Biology 287
- Cognitive Neuroscience 204
- Developmental Neuroscience 167
- Clinical Psychology 142
Countries citing papers authored by Clara Velázquez-Sánchez
This map shows the geographic impact of Clara Velázquez-Sánchez'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 Clara Velázquez-Sánchez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clara Velázquez-Sánchez more than expected).
Fields of papers citing papers by Clara Velázquez-Sánchez
This network shows the impact of papers produced by Clara Velázquez-Sánchez. 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 Clara Velázquez-Sánchez. The network helps show where Clara Velázquez-Sánchez may publish in the future.
Co-authorship network of co-authors of Clara Velázquez-Sánchez
This figure shows the co-authorship network connecting the top 25 collaborators of Clara Velázquez-Sánchez. A scholar is included among the top collaborators of Clara Velázquez-Sánchez 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 Clara Velázquez-Sánchez. Clara Velázquez-Sánchez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 9 | |
| 3 | 5 | |
| 4 | 28 | |
| 5 | 30 | |
| 6 | 49 | |
| 7 | 109 | |
| 8 | 18 | |
| 9 | 15 | |
| 10 | Atypical dopamine transporter inhibitors: candidates for the treatment of psychostimulant addiction | 1 |
| 11 | 15 | |
| 12 | 144 | |
| 13 | 33 | |
| 14 | 36 | |
| 15 | 73 | |
| 16 | 19 | |
| 17 | 29 | |
| 18 | 32 | |
| 19 | 114 | |
| 20 | 90 |
About Clara Velázquez-Sánchez
Clara Velázquez-Sánchez is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 21 papers that have together received 892 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (12 papers), Receptor Mechanisms and Signaling (10 papers) and Neuroscience and Neuropharmacology Research (9 papers). The work is most often cited by research in Developmental Neuroscience (167 citations), Cellular and Molecular Neuroscience (577 citations) and Behavioral Neuroscience (106 citations). Clara Velázquez-Sánchez has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Antonio Ferragud, Juan J. Canales, Vicente Hernández‐Rabaza, Valentina Sabino, Pietro Cottone, Barry J. Everitt, Catherine F. Moore, José Luís Trejo, Juan A. Barcia and Ana Pérez‐Villalba. Their work appears in journals such as Biological Psychiatry, The FASEB Journal and Neuroscience.
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.