Marcela S. Nadal
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 1%
- Cardiology and Cardiovascular Medicine top 2%
- Cognitive Neuroscience top 5%
- Physiology
- Co-authors
- Bernardo RudyYimy AmarilloAndrés OzaitaEleazar Vega‐Saenz de MieraDavid LauMichael J. SaganichAlan ChowTom McCormack
- Topics
- Ion channel regulation and function (13 papers)Neuroscience and Neuropharmacology Research (11 papers)Cardiac electrophysiology and arrhythmias (8 papers)
- Partner nations
- United StatesArgentinaSpain
In The Last Decade
Marcela S. Nadal
23 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 1.8k
- Cellular and Molecular Neuroscience 1.4k
- Cardiology and Cardiovascular Medicine 707
- Cognitive Neuroscience 338
- Physiology 150
Countries citing papers authored by Marcela S. Nadal
This map shows the geographic impact of Marcela S. Nadal'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 Marcela S. Nadal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcela S. Nadal more than expected).
Fields of papers citing papers by Marcela S. Nadal
This network shows the impact of papers produced by Marcela S. Nadal. 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 Marcela S. Nadal. The network helps show where Marcela S. Nadal may publish in the future.
Co-authorship network of co-authors of Marcela S. Nadal
This figure shows the co-authorship network connecting the top 25 collaborators of Marcela S. Nadal. A scholar is included among the top collaborators of Marcela S. Nadal 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 Marcela S. Nadal. Marcela S. Nadal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 38 | |
| 4 | 3 | |
| 5 | 11 | |
| 6 | 14 | |
| 7 | 37 | |
| 8 | 59 | |
| 9 | 39 | |
| 10 | 105 | |
| 11 | 284 | |
| 12 | 38 | |
| 13 | 36 | |
| 14 | Molecular Diversity of K+ Channelsbreakdown → | 957 |
| 15 | 264 | |
| 16 | 189 | |
| 17 | 40 | |
| 18 | 55 | |
| 19 | 13 | |
| 20 | 70 |
About Marcela S. Nadal
Marcela S. Nadal is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Statistical and Nonlinear Physics, having authored 24 papers that have together received 2.4k indexed citations. Recurring topics across this work include Ion channel regulation and function (13 papers), Neuroscience and Neuropharmacology Research (11 papers) and Cardiac electrophysiology and arrhythmias (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Cardiology and Cardiovascular Medicine (707 citations) and Sensory Systems (141 citations). Marcela S. Nadal has collaborated with scholars based in United States, Argentina and Spain. Frequent co-authors include Bernardo Rudy, Yimy Amarillo, Andrés Ozaita, Eleazar Vega‐Saenz de Miera, David Lau, Michael J. Saganich, Alan Chow, Tom McCormack, William A. Coetzee and David Pountney. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.
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.