Beatriz López‐Corcuera
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 5%
- Biochemistry top 0.5%
- Cell Biology top 2%
- Physiology top 5%
- Co-authors
- Carmen AragónQing‐Rong LiuHannah NelsonSreekala MandiyanNathan NelsonEnrique NúñezArjan GeerlingsRodrigo M. Maza
- Topics
- Neuroscience and Neuropharmacology Research (41 papers)Ion channel regulation and function (20 papers)Amino Acid Enzymes and Metabolism (18 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
Beatriz López‐Corcuera
55 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 92
- Cellular and Molecular Neuroscience 1.8k
- Molecular Biology 1.4k
- Biochemistry 772
- Cell Biology 491
- Physiology 370
Countries citing papers authored by Beatriz López‐Corcuera
This map shows the geographic impact of Beatriz López‐Corcuera'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 Beatriz López‐Corcuera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beatriz López‐Corcuera more than expected).
Fields of papers citing papers by Beatriz López‐Corcuera
This network shows the impact of papers produced by Beatriz López‐Corcuera. 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 Beatriz López‐Corcuera. The network helps show where Beatriz López‐Corcuera may publish in the future.
Co-authorship network of co-authors of Beatriz López‐Corcuera
This figure shows the co-authorship network connecting the top 25 collaborators of Beatriz López‐Corcuera. A scholar is included among the top collaborators of Beatriz López‐Corcuera 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 Beatriz López‐Corcuera. Beatriz López‐Corcuera 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 | 5 | |
| 3 | 4 | |
| 4 | 16 | |
| 5 | 5 | |
| 6 | 29 | |
| 7 | 22 | |
| 8 | 34 | |
| 9 | 18 | |
| 10 | 41 | |
| 11 | 7 | |
| 12 | 27 | |
| 13 | 90 | |
| 14 | 27 | |
| 15 | 33 | |
| 16 | 20 | |
| 17 | 70 | |
| 18 | 89 | |
| 19 | 2 | |
| 20 | 62 |
About Beatriz López‐Corcuera
Beatriz López‐Corcuera is a scholar working on Biochemistry, Cellular and Molecular Neuroscience and Cell Biology, having authored 56 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (41 papers), Ion channel regulation and function (20 papers) and Amino Acid Enzymes and Metabolism (18 papers). The work is most often cited by research in Biochemistry (772 citations), Cellular and Molecular Neuroscience (1.8k citations) and Cell Biology (491 citations). Beatriz López‐Corcuera has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Carmen Aragón, Qing‐Rong Liu, Hannah Nelson, Sreekala Mandiyan, Nathan Nelson, Enrique Núñez, Arjan Geerlings, Rodrigo M. Maza, Cecilio Giménez and Jesús Vázquez. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of 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.