B Nadal-Ginard
- Molecular Biology top 0.5%
- Cardiology and Cardiovascular Medicine top 0.5%
- Genetics top 2%
- Cell Biology top 2%
- Cellular and Molecular Neuroscience top 2%
- Co-authors
- Vijak MahdaviSeigo IzumoJames G. PattonChristina SmithAnne‐Marie LompréMuthu PeriasamyNelson Ruiz‐OpazoChristopher W. J. Smith
- Topics
- RNA Research and Splicing (20 papers)Muscle Physiology and Disorders (19 papers)Cardiomyopathy and Myosin Studies (16 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
B Nadal-Ginard
52 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 6.7k
- Cardiology and Cardiovascular Medicine 3.0k
- Genetics 733
- Cell Biology 670
- Cellular and Molecular Neuroscience 666
Countries citing papers authored by B Nadal-Ginard
This map shows the geographic impact of B Nadal-Ginard'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 B Nadal-Ginard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B Nadal-Ginard more than expected).
Fields of papers citing papers by B Nadal-Ginard
This network shows the impact of papers produced by B Nadal-Ginard. 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 B Nadal-Ginard. The network helps show where B Nadal-Ginard may publish in the future.
Co-authorship network of co-authors of B Nadal-Ginard
This figure shows the co-authorship network connecting the top 25 collaborators of B Nadal-Ginard. A scholar is included among the top collaborators of B Nadal-Ginard 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 B Nadal-Ginard. B Nadal-Ginard 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 | 43 | |
| 3 | 116 | |
| 4 | 70 | |
| 5 | 90 | |
| 6 | 121 | |
| 7 | 32 | |
| 8 | 207 | |
| 9 | ALTERNATIVE SPLICING IN THE CONTROL OF GENE EXPRESSIONbreakdown → | 642 |
| 10 | 249 | |
| 11 | 80 | |
| 12 | 382 | |
| 13 | 141 | |
| 14 | 163 | |
| 15 | 78 | |
| 16 | 32 | |
| 17 | Expression of the cardiac ventricular alpha- and beta-myosin heavy chain genes is developmentally and hormonally regulated.breakdown → | 541 |
| 18 | 42 | |
| 19 | 129 | |
| 20 | 8 |
About B Nadal-Ginard
B Nadal-Ginard is a scholar working on Aging, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 52 papers that have together received 8.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (20 papers), Muscle Physiology and Disorders (19 papers) and Cardiomyopathy and Myosin Studies (16 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.0k citations), Molecular Biology (6.7k citations) and Cell Biology (670 citations). B Nadal-Ginard has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Vijak Mahdavi, Seigo Izumo, James G. Patton, Christina Smith, Anne‐Marie Lompré, Muthu Periasamy, Nelson Ruiz‐Opazo, Christopher W. J. Smith, Yi‐Tao Yu and Ruth M. Gubits. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.