Jennifer D. Kunic
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Cellular and Molecular Neuroscience
- Physiology
- Pediatrics, Perinatology and Child Health
- Co-authors
- Alfred L. GeorgeGeorge R. EhringCarlos G. VanoyeHaifa HallaqDao Wen WangKatherine T. MurrayMichael J. AckermanK. Sam Wells
- Topics
- Ion channel regulation and function (5 papers)Cardiac electrophysiology and arrhythmias (4 papers)Ion Transport and Channel Regulation (2 papers)
- Journals
- JAMAAmerican Journal of Physiology-Heart and Circulatory PhysiologyThe Journal of General Physiology
- Partner nations
- United StatesItalySaudi Arabia
In The Last Decade
Jennifer D. Kunic
7 papers receiving 244 citations
Peers
Comparison fields: 5 of 44
- Cardiology and Cardiovascular Medicine 167
- Molecular Biology 158
- Cellular and Molecular Neuroscience 49
- Physiology 28
- Pediatrics, Perinatology and Child Health 17
Countries citing papers authored by Jennifer D. Kunic
This map shows the geographic impact of Jennifer D. Kunic'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 Jennifer D. Kunic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer D. Kunic more than expected).
Fields of papers citing papers by Jennifer D. Kunic
This network shows the impact of papers produced by Jennifer D. Kunic. 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 Jennifer D. Kunic. The network helps show where Jennifer D. Kunic may publish in the future.
Co-authorship network of co-authors of Jennifer D. Kunic
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer D. Kunic. A scholar is included among the top collaborators of Jennifer D. Kunic 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 Jennifer D. Kunic. Jennifer D. Kunic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 46 | |
| 3 | 102 | |
| 4 | 39 | |
| 5 | 33 | |
| 6 | 6 | |
| 7 | 5 |
About Jennifer D. Kunic
Jennifer D. Kunic is a scholar working on Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems and Molecular Biology, having authored 7 papers that have together received 246 indexed citations. Recurring topics across this work include Ion channel regulation and function (5 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Ion Transport and Channel Regulation (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (167 citations), Cellular and Molecular Neuroscience (49 citations) and Molecular Biology (158 citations). Jennifer D. Kunic has collaborated with scholars based in United States, Italy and Saudi Arabia. Frequent co-authors include Alfred L. George, George R. Ehring, Carlos G. Vanoye, Haifa Hallaq, Dao Wen Wang, Katherine T. Murray, Michael J. Ackerman, K. Sam Wells, Alessandra Besana and Melissa L. Will. Their work appears in journals such as JAMA, American Journal of Physiology-Heart and Circulatory Physiology and The Journal of General Physiology.
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.