Jonathan C. Makielski
- Molecular Biology top 1%
- Cardiology and Cardiovascular Medicine top 0.2%
- Cellular and Molecular Neuroscience top 1%
- Pathology and Forensic Medicine top 1%
- Surgery top 10%
- Co-authors
- Michael J. AckermanZheng FanCarmen R. ValdiviaDavid J. TesterCraig T. JanuaryBin YeQiuming GongZhengfeng Zhou
- Topics
- Cardiac electrophysiology and arrhythmias (92 papers)Ion channel regulation and function (91 papers)Cardiac Ischemia and Reperfusion (22 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Jonathan C. Makielski
120 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 5.8k
- Cardiology and Cardiovascular Medicine 5.6k
- Cellular and Molecular Neuroscience 1.5k
- Pathology and Forensic Medicine 930
- Surgery 354
Countries citing papers authored by Jonathan C. Makielski
This map shows the geographic impact of Jonathan C. Makielski'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 Jonathan C. Makielski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan C. Makielski more than expected).
Fields of papers citing papers by Jonathan C. Makielski
This network shows the impact of papers produced by Jonathan C. Makielski. 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 Jonathan C. Makielski. The network helps show where Jonathan C. Makielski may publish in the future.
Co-authorship network of co-authors of Jonathan C. Makielski
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan C. Makielski. A scholar is included among the top collaborators of Jonathan C. Makielski 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 Jonathan C. Makielski. Jonathan C. Makielski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 15 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 58 | |
| 7 | 46 | |
| 8 | 23 | |
| 9 | Abstract 15643: Loss of IKr in LQT2 Patient iPS-derived Cardiomyocytes : Nonsense Mediated Decay as a Potential Mechanism? | 1 |
| 10 | 43 | |
| 11 | Abstract 13448: The Cardiac Sodium Nav1.5 Channelsome and Sudden Infant Death Syndrome | 3 |
| 12 | 25 | |
| 13 | 225 | |
| 14 | 260 | |
| 15 | 356 | |
| 16 | 86 | |
| 17 | 16 | |
| 18 | 11 | |
| 19 | 2 | |
| 20 | Properties of HERG Channels Stably Expressed in HEK 293 Cells Studied at Physiological Temperaturebreakdown → | 622 |
About Jonathan C. Makielski
Jonathan C. Makielski is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Pathology and Forensic Medicine, having authored 120 papers that have together received 7.7k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (92 papers), Ion channel regulation and function (91 papers) and Cardiac Ischemia and Reperfusion (22 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (5.6k citations), Molecular Biology (5.8k citations) and Cellular and Molecular Neuroscience (1.5k citations). Jonathan C. Makielski has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Michael J. Ackerman, Zheng Fan, Carmen R. Valdivia, David J. Tester, Craig T. January, Bin Ye, Qiuming Gong, Zhengfeng Zhou, Jielin Pu and Argelia Medeiros‐Domingo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.