Carolina Gomis‐Pérez
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Physiology
- Cell Biology
- Co-authors
- Álvaro VillarroelAlessandro AlaimoPilar AresoGaneko Bernardo‐SeisdedosPaolo AmbrosinoMaurizio TaglialatelaMaria Virginia SoldovieriJuncal Fernández‐Orth
- Topics
- Cardiac electrophysiology and arrhythmias (15 papers)Ion channel regulation and function (14 papers)Neuroscience and Neuropharmacology Research (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Carolina Gomis‐Pérez
24 papers receiving 458 citations
Peers
Comparison fields: 5 of 68
- Molecular Biology 367
- Cellular and Molecular Neuroscience 182
- Cardiology and Cardiovascular Medicine 181
- Physiology 89
- Cell Biology 54
Countries citing papers authored by Carolina Gomis‐Pérez
This map shows the geographic impact of Carolina Gomis‐Pérez'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 Carolina Gomis‐Pérez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carolina Gomis‐Pérez more than expected).
Fields of papers citing papers by Carolina Gomis‐Pérez
This network shows the impact of papers produced by Carolina Gomis‐Pérez. 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 Carolina Gomis‐Pérez. The network helps show where Carolina Gomis‐Pérez may publish in the future.
Co-authorship network of co-authors of Carolina Gomis‐Pérez
This figure shows the co-authorship network connecting the top 25 collaborators of Carolina Gomis‐Pérez. A scholar is included among the top collaborators of Carolina Gomis‐Pérez 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 Carolina Gomis‐Pérez. Carolina Gomis‐Pérez 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 | 27 | |
| 3 | 6 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 8 | |
| 8 | 22 | |
| 9 | 67 | |
| 10 | 24 | |
| 11 | 8 | |
| 12 | 16 | |
| 13 | 13 | |
| 14 | 36 | |
| 15 | 10 | |
| 16 | 26 | |
| 17 | 79 | |
| 18 | 7 | |
| 19 | 17 | |
| 20 | 23 |
About Carolina Gomis‐Pérez
Carolina Gomis‐Pérez is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 24 papers that have together received 459 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (15 papers), Ion channel regulation and function (14 papers) and Neuroscience and Neuropharmacology Research (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (182 citations), Cardiology and Cardiovascular Medicine (181 citations) and Sensory Systems (28 citations). Carolina Gomis‐Pérez has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Álvaro Villarroel, Alessandro Alaimo, Pilar Areso, Ganeko Bernardo‐Seisdedos, Paolo Ambrosino, Maurizio Taglialatela, Maria Virginia Soldovieri, Juncal Fernández‐Orth, Stephen G. Waxman and Sulayman D. Dib‐Hajj. 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.