Esperanza Agulló-Pascual
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Cell Biology
- Epidemiology
- Co-authors
- Mario DelmarEli RothenbergMarina CerroneAlejandra Leo‐MacíasXianming LinMingliang ZhangAnna PfennigerDavid Fenyö
- Topics
- Cardiac electrophysiology and arrhythmias (13 papers)Connexins and lens biology (6 papers)Cardiovascular Effects of Exercise (6 papers)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Esperanza Agulló-Pascual
23 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 80
- Cardiology and Cardiovascular Medicine 614
- Molecular Biology 605
- Cellular and Molecular Neuroscience 151
- Cell Biology 92
- Epidemiology 50
Countries citing papers authored by Esperanza Agulló-Pascual
This map shows the geographic impact of Esperanza Agulló-Pascual'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 Esperanza Agulló-Pascual with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Esperanza Agulló-Pascual more than expected).
Fields of papers citing papers by Esperanza Agulló-Pascual
This network shows the impact of papers produced by Esperanza Agulló-Pascual. 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 Esperanza Agulló-Pascual. The network helps show where Esperanza Agulló-Pascual may publish in the future.
Co-authorship network of co-authors of Esperanza Agulló-Pascual
This figure shows the co-authorship network connecting the top 25 collaborators of Esperanza Agulló-Pascual. A scholar is included among the top collaborators of Esperanza Agulló-Pascual 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 Esperanza Agulló-Pascual. Esperanza Agulló-Pascual is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 20 | |
| 3 | 11 | |
| 4 | 15 | |
| 5 | 20 | |
| 6 | 12 | |
| 7 | 16 | |
| 8 | 67 | |
| 9 | 30 | |
| 10 | 99 | |
| 11 | 30 | |
| 12 | 74 | |
| 13 | 36 | |
| 14 | 93 | |
| 15 | 99 | |
| 16 | 233 | |
| 17 | 59 | |
| 18 | 5 | |
| 19 | 35 | |
| 20 | 24 |
About Esperanza Agulló-Pascual
Esperanza Agulló-Pascual is a scholar working on Cardiology and Cardiovascular Medicine, Cell Biology and Biophysics, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (13 papers), Connexins and lens biology (6 papers) and Cardiovascular Effects of Exercise (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (614 citations), Molecular Biology (605 citations) and Structural Biology (12 citations). Esperanza Agulló-Pascual has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Mario Delmar, Eli Rothenberg, Marina Cerrone, Alejandra Leo‐Macías, Xianming Lin, Mingliang Zhang, Anna Pfenniger, David Fenyö, Sarah Keegan and Valeria Novelli. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Nature Communications.
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.