Michael C. Sanguinetti
- Molecular Biology top 0.1%
- Cardiology and Cardiovascular Medicine top 0.05%
- Cellular and Molecular Neuroscience top 0.1%
- Pathology and Forensic Medicine top 2%
- Computational Theory and Mathematics top 1%
- Co-authors
- Mark T. KeatingNancy K. JurkiewiczMartin Tristani‐FirouziMark CurranJohn S. MitchesonRobert S. KassIgor SplawskiAnruo Zou
- Topics
- Cardiac electrophysiology and arrhythmias (151 papers)Ion channel regulation and function (149 papers)Neuroscience and Neuropharmacology Research (46 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Michael C. Sanguinetti
164 papers receiving 20.7k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Molecular Biology 18.5k
- Cardiology and Cardiovascular Medicine 16.8k
- Cellular and Molecular Neuroscience 7.0k
- Pathology and Forensic Medicine 564
- Computational Theory and Mathematics 529
Countries citing papers authored by Michael C. Sanguinetti
This map shows the geographic impact of Michael C. Sanguinetti'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 Michael C. Sanguinetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael C. Sanguinetti more than expected).
Fields of papers citing papers by Michael C. Sanguinetti
This network shows the impact of papers produced by Michael C. Sanguinetti. 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 Michael C. Sanguinetti. The network helps show where Michael C. Sanguinetti may publish in the future.
Co-authorship network of co-authors of Michael C. Sanguinetti
This figure shows the co-authorship network connecting the top 25 collaborators of Michael C. Sanguinetti. A scholar is included among the top collaborators of Michael C. Sanguinetti 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 Michael C. Sanguinetti. Michael C. Sanguinetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 11 | |
| 4 | 83 | |
| 5 | 71 | |
| 6 | 24 | |
| 7 | 38 | |
| 8 | 456 | |
| 9 | 31 | |
| 10 | 47 | |
| 11 | IS003 Open-state Block and Closed-state Unblock of HERG Channels by Vesnarinone | 0 |
| 12 | 15 | |
| 13 | 185 | |
| 14 | 136 | |
| 15 | Mutations in the hminK gene cause long QT syndrome and suppress lKs functionbreakdown → | 581 |
| 16 | 24 | |
| 17 | Two components of cardiac delayed rectifier K+ current. Differential sensitivity to block by class III antiarrhythmic agents.breakdown → | 1206 |
| 18 | 15 | |
| 19 | 171 | |
| 20 | 220 |
About Michael C. Sanguinetti
Michael C. Sanguinetti is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Molecular Biology, having authored 166 papers that have together received 21.2k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (151 papers), Ion channel regulation and function (149 papers) and Neuroscience and Neuropharmacology Research (46 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (16.8k citations), Cellular and Molecular Neuroscience (7.0k citations) and Molecular Biology (18.5k citations). Michael C. Sanguinetti has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Mark T. Keating, Nancy K. Jurkiewicz, Martin Tristani‐Firouzi, Mark Curran, John S. Mitcheson, Robert S. Kass, Igor Splawski, Anruo Zou, Jun Chen and Peter Spector. Their work appears in journals such as Nature, Science and Cell.
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.