Jay M. Jarmakani
- Cardiology and Cardiovascular Medicine top 1%
- Epidemiology top 2%
- Pulmonary and Respiratory Medicine top 2%
- Surgery top 5%
- Pathology and Forensic Medicine top 5%
- Co-authors
- T.P. GrahamRamon V. CanentToshio NakanishiMitsuru NakazawaJosephine B. Isabel-JonesGerald F. AtwoodSteven M. YabekG. A. Langer
- Topics
- Cardiovascular Function and Risk Factors (37 papers)Congenital Heart Disease Studies (31 papers)Cardiac electrophysiology and arrhythmias (13 papers)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Jay M. Jarmakani
78 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 85
- Cardiology and Cardiovascular Medicine 1.6k
- Epidemiology 1.1k
- Pulmonary and Respiratory Medicine 861
- Surgery 794
- Pathology and Forensic Medicine 463
Countries citing papers authored by Jay M. Jarmakani
This map shows the geographic impact of Jay M. Jarmakani'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 Jay M. Jarmakani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay M. Jarmakani more than expected).
Fields of papers citing papers by Jay M. Jarmakani
This network shows the impact of papers produced by Jay M. Jarmakani. 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 Jay M. Jarmakani. The network helps show where Jay M. Jarmakani may publish in the future.
Co-authorship network of co-authors of Jay M. Jarmakani
This figure shows the co-authorship network connecting the top 25 collaborators of Jay M. Jarmakani. A scholar is included among the top collaborators of Jay M. Jarmakani 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 Jay M. Jarmakani. Jay M. Jarmakani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 71 | |
| 3 | 10 | |
| 4 | 18 | |
| 5 | 21 | |
| 6 | 5 | |
| 7 | 13 | |
| 8 | 114 | |
| 9 | 12 | |
| 10 | 5 | |
| 11 | 7 | |
| 12 | 9 | |
| 13 | 41 | |
| 14 | 46 | |
| 15 | 87 | |
| 16 | 21 | |
| 17 | 106 | |
| 18 | 25 | |
| 19 | 33 | |
| 20 | 176 |
About Jay M. Jarmakani
Jay M. Jarmakani is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Developmental Neuroscience, having authored 78 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (37 papers), Congenital Heart Disease Studies (31 papers) and Cardiac electrophysiology and arrhythmias (13 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.6k citations), Epidemiology (1.1k citations) and Developmental Neuroscience (122 citations). Jay M. Jarmakani has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include T.P. Graham, Ramon V. Canent, Toshio Nakanishi, Mitsuru Nakazawa, Josephine B. Isabel-Jones, Gerald F. Atwood, Steven M. Yabek, G. A. Langer, M.N. Morrow and Barbara L. George. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and PEDIATRICS.
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.