Salvador Sala
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 5%
- Pharmacology top 5%
- Insect Science top 5%
- Cardiology and Cardiovascular Medicine
- Co-authors
- F. SalaManuel CriadoJosé MuletAntonio Campos‐CaroJuan J. BallestaFrancisco Vicente‐AgullóLuis M. ValorDonald R. Matteson
- Topics
- Nicotinic Acetylcholine Receptors Study (44 papers)Receptor Mechanisms and Signaling (34 papers)Ion channel regulation and function (31 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Salvador Sala
59 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 1.3k
- Cellular and Molecular Neuroscience 366
- Pharmacology 246
- Insect Science 207
- Cardiology and Cardiovascular Medicine 69
Countries citing papers authored by Salvador Sala
This map shows the geographic impact of Salvador Sala'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 Salvador Sala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salvador Sala more than expected).
Fields of papers citing papers by Salvador Sala
This network shows the impact of papers produced by Salvador Sala. 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 Salvador Sala. The network helps show where Salvador Sala may publish in the future.
Co-authorship network of co-authors of Salvador Sala
This figure shows the co-authorship network connecting the top 25 collaborators of Salvador Sala. A scholar is included among the top collaborators of Salvador Sala 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 Salvador Sala. Salvador Sala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 44 | |
| 4 | 19 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 20 | |
| 11 | 27 | |
| 12 | Mitochondrial protein expression in rattus norvegicus and human cells | 9 |
| 13 | 18 | |
| 14 | 85 | |
| 15 | 70 | |
| 16 | 47 | |
| 17 | 7 | |
| 18 | 25 | |
| 19 | 17 | |
| 20 | 4 |
About Salvador Sala
Salvador Sala is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Medical Laboratory Technology, having authored 60 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (44 papers), Receptor Mechanisms and Signaling (34 papers) and Ion channel regulation and function (31 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (366 citations), Molecular Biology (1.3k citations) and Insect Science (207 citations). Salvador Sala has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include F. Sala, Manuel Criado, José Mulet, Antonio Campos‐Caro, Juan J. Ballesta, Francisco Vicente‐Agulló, Luis M. Valor, Donald R. Matteson, Luis M. Gutiérrez and Miguel García‐Guzmán. 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.