Jillian R. Tate
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Molecular Biology
- Physiology top 10%
- Co-authors
- Francesco DatiArmin SteinmetzSantica M. MarcovinaPeter E. HickmanMauro PanteghiniGus KoerbinRobert H. ChristensonNader Rifai
- Topics
- Acute Myocardial Infarction Research (24 papers)Cardiac Imaging and Diagnostics (13 papers)Cardiac electrophysiology and arrhythmias (12 papers)
- Cited by
- Cardiology and Cardiovascular MedicineStatistics, Probability and UncertaintyRadiology, Nuclear Medicine and Imaging
- Partner nations
- AustraliaUnited StatesNew Zealand
In The Last Decade
Jillian R. Tate
55 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 108
- Cardiology and Cardiovascular Medicine 900
- Surgery 604
- Radiology, Nuclear Medicine and Imaging 446
- Molecular Biology 287
- Physiology 249
Countries citing papers authored by Jillian R. Tate
This map shows the geographic impact of Jillian R. Tate'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 Jillian R. Tate with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jillian R. Tate more than expected).
Fields of papers citing papers by Jillian R. Tate
This network shows the impact of papers produced by Jillian R. Tate. 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 Jillian R. Tate. The network helps show where Jillian R. Tate may publish in the future.
Co-authorship network of co-authors of Jillian R. Tate
This figure shows the co-authorship network connecting the top 25 collaborators of Jillian R. Tate. A scholar is included among the top collaborators of Jillian R. Tate 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 Jillian R. Tate. Jillian R. Tate is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 36 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 28 | |
| 7 | 51 | |
| 8 | 16 | |
| 9 | 55 | |
| 10 | 66 | |
| 11 | 10 | |
| 12 | 69 | |
| 13 | 42 | |
| 14 | 190 | |
| 15 | 28 | |
| 16 | 73 | |
| 17 | 94 | |
| 18 | 12 | |
| 19 | 35 | |
| 20 | 13 |
About Jillian R. Tate
Jillian R. Tate is a scholar working on Statistics, Probability and Uncertainty, Cardiology and Cardiovascular Medicine and Internal Medicine, having authored 57 papers that have together received 1.9k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (24 papers), Cardiac Imaging and Diagnostics (13 papers) and Cardiac electrophysiology and arrhythmias (12 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (900 citations), Statistics, Probability and Uncertainty (169 citations) and Radiology, Nuclear Medicine and Imaging (446 citations). Jillian R. Tate has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include Francesco Dati, Armin Steinmetz, Santica M. Marcovina, Peter E. Hickman, Mauro Panteghini, Gus Koerbin, Robert H. Christenson, Nader Rifai, Jacobus Ungerer and Rémy Couderc. Their work appears in journals such as Circulation, Analytical Biochemistry and Clinical Chemistry.
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.