J. R. Oliver
- Cellular and Molecular Neuroscience top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Endocrine and Autonomic Systems top 2%
- Molecular Biology
- Surgery top 10%
- Co-authors
- Paul KörnerJohn O. WilloughbyW.W. BlessingTong H. JohPeter R.C. HoweMarcello CostaJohn B. FurnessIan L. Gibbins
- Topics
- Atrial Fibrillation Management and Outcomes (6 papers)Neuropeptides and Animal Physiology (5 papers)Heart Rate Variability and Autonomic Control (5 papers)
- Cited by
- Endocrine and Autonomic SystemsCellular and Molecular NeuroscienceCardiology and Cardiovascular Medicine
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
J. R. Oliver
42 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 99
- Cellular and Molecular Neuroscience 569
- Cardiology and Cardiovascular Medicine 402
- Endocrine and Autonomic Systems 389
- Molecular Biology 344
- Surgery 338
Countries citing papers authored by J. R. Oliver
This map shows the geographic impact of J. R. Oliver'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 J. R. Oliver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. R. Oliver more than expected).
Fields of papers citing papers by J. R. Oliver
This network shows the impact of papers produced by J. R. Oliver. 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 J. R. Oliver. The network helps show where J. R. Oliver may publish in the future.
Co-authorship network of co-authors of J. R. Oliver
This figure shows the co-authorship network connecting the top 25 collaborators of J. R. Oliver. A scholar is included among the top collaborators of J. R. Oliver 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 J. R. Oliver. J. R. Oliver is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 59 | |
| 2 | 11 | |
| 3 | 30 | |
| 4 | 31 | |
| 5 | 13 | |
| 6 | 8 | |
| 7 | 3 | |
| 8 | 28 | |
| 9 | 12 | |
| 10 | 43 | |
| 11 | 3 | |
| 12 | 36 | |
| 13 | 18 | |
| 14 | 180 | |
| 15 | 115 | |
| 16 | 83 | |
| 17 | 33 | |
| 18 | 35 | |
| 19 | 5 | |
| 20 | 4 |
About J. R. Oliver
J. R. Oliver is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (6 papers), Neuropeptides and Animal Physiology (5 papers) and Heart Rate Variability and Autonomic Control (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (389 citations), Cellular and Molecular Neuroscience (569 citations) and Cardiology and Cardiovascular Medicine (402 citations). J. R. Oliver has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Paul Körner, John O. Willoughby, W.W. Blessing, Tong H. Joh, Peter R.C. Howe, Marcello Costa, John B. Furness, Ian L. Gibbins, S.R. Wagle and Robert Scragg. Their work appears in journals such as Circulation Research, The Journal of Comparative Neurology and Brain Research.
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.