S. Kubalak
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Cellular and Molecular Neuroscience top 10%
- Surgery
- Genetics
- Co-authors
- Kenneth R. ChienE. D. DysonHenry M. SucovRonald M. EvansTerrence X. O’BrienWanda C. Miller‐HanceRobert S. KassMatt Davies
- Topics
- Ion channel regulation and function (4 papers)Receptor Mechanisms and Signaling (3 papers)Cardiac electrophysiology and arrhythmias (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesSwitzerlandNetherlands
In The Last Decade
S. Kubalak
14 papers receiving 980 citations
Peers
Comparison fields: 5 of 67
- Molecular Biology 824
- Cardiology and Cardiovascular Medicine 467
- Cellular and Molecular Neuroscience 155
- Surgery 115
- Genetics 109
Countries citing papers authored by S. Kubalak
This map shows the geographic impact of S. Kubalak'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 S. Kubalak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Kubalak more than expected).
Fields of papers citing papers by S. Kubalak
This network shows the impact of papers produced by S. Kubalak. 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 S. Kubalak. The network helps show where S. Kubalak may publish in the future.
Co-authorship network of co-authors of S. Kubalak
This figure shows the co-authorship network connecting the top 25 collaborators of S. Kubalak. A scholar is included among the top collaborators of S. Kubalak 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 S. Kubalak. S. Kubalak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 159 | |
| 3 | 5 | |
| 4 | 33 | |
| 5 | 157 | |
| 6 | The molecular genetics of retinoic acid receptors: cardiovascular and limb development. | 7 |
| 7 | 50 | |
| 8 | 170 | |
| 9 | 138 | |
| 10 | 194 | |
| 11 | 25 | |
| 12 | 20 | |
| 13 | 14 | |
| 14 | 9 |
About S. Kubalak
S. Kubalak is a scholar working on Cardiology and Cardiovascular Medicine, Physiology and Molecular Biology, having authored 14 papers that have together received 1000 indexed citations. Recurring topics across this work include Ion channel regulation and function (4 papers), Receptor Mechanisms and Signaling (3 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (467 citations), Molecular Biology (824 citations) and Cellular and Molecular Neuroscience (155 citations). S. Kubalak has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Kenneth R. Chien, E. D. Dyson, Henry M. Sucov, Ronald M. Evans, Terrence X. O’Brien, Wanda C. Miller‐Hance, Robert S. Kass, Matt Davies, John Ross and Rui-Hai An. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.