Helen Skews
- Cardiology and Cardiovascular Medicine top 5%
- Physiology
- Surgery
- Molecular Biology
- Complementary and alternative medicine top 5%
- Co-authors
- Alex BobikGraham P. JackmanMurray EslerP LeonardGarry JenningsPaul KörnerAllan J. McLeanPeter J. Little
- Topics
- Cardiovascular Syncope and Autonomic Disorders (4 papers)Hormonal Regulation and Hypertension (3 papers)Heart Rate Variability and Autonomic Control (3 papers)
- Cited by
- Cardiology and Cardiovascular MedicineComplementary and alternative medicineBehavioral Neuroscience
- Partner nations
- AustraliaSri LankaUnited Kingdom
In The Last Decade
Helen Skews
16 papers receiving 859 citations
Peers
Comparison fields: 5 of 88
- Cardiology and Cardiovascular Medicine 484
- Physiology 166
- Surgery 159
- Molecular Biology 139
- Complementary and alternative medicine 123
Countries citing papers authored by Helen Skews
This map shows the geographic impact of Helen Skews'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 Helen Skews with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helen Skews more than expected).
Fields of papers citing papers by Helen Skews
This network shows the impact of papers produced by Helen Skews. 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 Helen Skews. The network helps show where Helen Skews may publish in the future.
Co-authorship network of co-authors of Helen Skews
This figure shows the co-authorship network connecting the top 25 collaborators of Helen Skews. A scholar is included among the top collaborators of Helen Skews 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 Helen Skews. Helen Skews is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 50 | |
| 3 | 26 | |
| 4 | 71 | |
| 5 | 125 | |
| 6 | 6 | |
| 7 | 138 | |
| 8 | 43 | |
| 9 | 55 | |
| 10 | 10 | |
| 11 | 49 | |
| 12 | 17 | |
| 13 | Study of noradrenaline uptake and spillover to plasma in normal subjects and patients with essential hypertension. | 8 |
| 14 | Norepinephrine kinetics in patients with idiopathic autonomic insufficiency. | 14 |
| 15 | 43 | |
| 16 | 301 |
About Helen Skews
Helen Skews is a scholar working on Behavioral Neuroscience, Pharmacology and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 964 indexed citations. Recurring topics across this work include Cardiovascular Syncope and Autonomic Disorders (4 papers), Hormonal Regulation and Hypertension (3 papers) and Heart Rate Variability and Autonomic Control (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (484 citations), Complementary and alternative medicine (123 citations) and Behavioral Neuroscience (50 citations). Helen Skews has collaborated with scholars based in Australia, Sri Lanka and United Kingdom. Frequent co-authors include Alex Bobik, Graham P. Jackman, Murray Esler, P Leonard, Garry Jennings, Paul Körner, Allan J. McLean, Peter J. Little, F. J. Dudley and V. Carson. Their work appears in journals such as Hypertension, Life Sciences and Clinical Pharmacology & Therapeutics.
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.