Aaron J. Trask
- Cardiology and Cardiovascular Medicine top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Surgery
- Physiology top 10%
- Co-authors
- Carlos M. FerrarioJewell A. JessupMark C. ChappellPamela A. LucchesiAdrian C. EddyHicham LabaziPaige S. KatzJasmina Varagić
- Topics
- Cardiovascular Function and Risk Factors (14 papers)Renin-Angiotensin System Studies (11 papers)Hormonal Regulation and Hypertension (9 papers)
- Partner nations
- United StatesBrazilUnited Kingdom
In The Last Decade
Aaron J. Trask
57 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 108
- Cardiology and Cardiovascular Medicine 973
- Endocrinology, Diabetes and Metabolism 480
- Molecular Biology 463
- Surgery 253
- Physiology 242
Countries citing papers authored by Aaron J. Trask
This map shows the geographic impact of Aaron J. Trask'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 Aaron J. Trask with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron J. Trask more than expected).
Fields of papers citing papers by Aaron J. Trask
This network shows the impact of papers produced by Aaron J. Trask. 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 Aaron J. Trask. The network helps show where Aaron J. Trask may publish in the future.
Co-authorship network of co-authors of Aaron J. Trask
This figure shows the co-authorship network connecting the top 25 collaborators of Aaron J. Trask. A scholar is included among the top collaborators of Aaron J. Trask 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 Aaron J. Trask. Aaron J. Trask 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 | 1 | |
| 3 | 9 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 109 | |
| 7 | 1 | |
| 8 | 18 | |
| 9 | 64 | |
| 10 | 14 | |
| 11 | 61 | |
| 12 | 63 | |
| 13 | 13 | |
| 14 | 16 | |
| 15 | 21 | |
| 16 | 26 | |
| 17 | 11 | |
| 18 | 89 | |
| 19 | 322 | |
| 20 | Autonomous artificial neural network star tracker for spacecraft attitude determination | 1 |
About Aaron J. Trask
Aaron J. Trask is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery, having authored 57 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (14 papers), Renin-Angiotensin System Studies (11 papers) and Hormonal Regulation and Hypertension (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (973 citations), Endocrinology, Diabetes and Metabolism (480 citations) and Pharmacology (168 citations). Aaron J. Trask has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Carlos M. Ferrario, Jewell A. Jessup, Mark C. Chappell, Pamela A. Lucchesi, Adrian C. Eddy, Hicham Labazi, Paige S. Katz, Jasmina Varagić, Brenda Lilly and Mary J. Cismowski. Their work appears in journals such as PLoS ONE, Circulation Research and Scientific Reports.
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.