Cara J. Weisbrod
- Cardiology and Cardiovascular Medicine top 10%
- Complementary and alternative medicine top 5%
- Genetics
- Physiology
- Endocrine and Autonomic Systems top 10%
- Co-authors
- Daniel J. GreenGerry O’DriscollJohn R. HalliwillMichael J. JoynerChristopher T. MinsonLouise H. NaylorG. O’DriscollPeter R. Eastwood
- Topics
- Heart Rate Variability and Autonomic Control (6 papers)Cardiovascular and exercise physiology (3 papers)Cardiovascular Health and Disease Prevention (3 papers)
- Cited by
- Complementary and alternative medicineCardiology and Cardiovascular MedicineEndocrine and Autonomic Systems
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Cara J. Weisbrod
7 papers receiving 351 citations
Peers
Comparison fields: 5 of 50
- Cardiology and Cardiovascular Medicine 261
- Complementary and alternative medicine 105
- Genetics 97
- Physiology 82
- Endocrine and Autonomic Systems 69
Countries citing papers authored by Cara J. Weisbrod
This map shows the geographic impact of Cara J. Weisbrod'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 Cara J. Weisbrod with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cara J. Weisbrod more than expected).
Fields of papers citing papers by Cara J. Weisbrod
This network shows the impact of papers produced by Cara J. Weisbrod. 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 Cara J. Weisbrod. The network helps show where Cara J. Weisbrod may publish in the future.
Co-authorship network of co-authors of Cara J. Weisbrod
This figure shows the co-authorship network connecting the top 25 collaborators of Cara J. Weisbrod. A scholar is included among the top collaborators of Cara J. Weisbrod 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 Cara J. Weisbrod. Cara J. Weisbrod is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 63 | |
| 2 | 18 | |
| 3 | 84 | |
| 4 | 48 | |
| 5 | 9 | |
| 6 | 12 | |
| 7 | Peripheral Vasomotor Responses to Hypoxia in Type 2 Diabetes | 0 |
| 8 | 122 |
About Cara J. Weisbrod
Cara J. Weisbrod is a scholar working on Complementary and alternative medicine, Cardiology and Cardiovascular Medicine and Endocrine and Autonomic Systems, having authored 8 papers that have together received 356 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (6 papers), Cardiovascular and exercise physiology (3 papers) and Cardiovascular Health and Disease Prevention (3 papers). The work is most often cited by research in Complementary and alternative medicine (105 citations), Cardiology and Cardiovascular Medicine (261 citations) and Endocrine and Autonomic Systems (69 citations). Cara J. Weisbrod has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Daniel J. Green, Gerry O’Driscoll, John R. Halliwill, Michael J. Joyner, Christopher T. Minson, Louise H. Naylor, G. O’Driscoll, Peter R. Eastwood, Kyra E. Pyke and Michael E. Tschakovsky. Their work appears in journals such as The Journal of Physiology, Diabetes and Journal of Applied 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.