Helen K. Wong‐Dusting
- Molecular Biology
- Physiology top 10%
- Cellular and Molecular Neuroscience top 10%
- Cardiology and Cardiovascular Medicine
- Endocrine and Autonomic Systems
- Co-authors
- M. J. RandJulianne J. ReidDavid StoryAnthony De LucaChun Guang LiJames ZiogasRichard LoiaconoH. Majewski
- Topics
- Receptor Mechanisms and Signaling (13 papers)Nitric Oxide and Endothelin Effects (8 papers)Neuropeptides and Animal Physiology (8 papers)
- Journals
- British Journal of PharmacologyEuropean Journal of PharmacologyJournal of Pharmacy and Pharmacology
- Partner nations
- Australia
In The Last Decade
Helen K. Wong‐Dusting
20 papers receiving 373 citations
Peers
Comparison fields: 5 of 51
- Molecular Biology 221
- Physiology 198
- Cellular and Molecular Neuroscience 156
- Cardiology and Cardiovascular Medicine 128
- Endocrine and Autonomic Systems 38
Countries citing papers authored by Helen K. Wong‐Dusting
This map shows the geographic impact of Helen K. Wong‐Dusting'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 K. Wong‐Dusting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helen K. Wong‐Dusting more than expected).
Fields of papers citing papers by Helen K. Wong‐Dusting
This network shows the impact of papers produced by Helen K. Wong‐Dusting. 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 K. Wong‐Dusting. The network helps show where Helen K. Wong‐Dusting may publish in the future.
Co-authorship network of co-authors of Helen K. Wong‐Dusting
This figure shows the co-authorship network connecting the top 25 collaborators of Helen K. Wong‐Dusting. A scholar is included among the top collaborators of Helen K. Wong‐Dusting 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 K. Wong‐Dusting. Helen K. Wong‐Dusting is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 6 | |
| 3 | 18 | |
| 4 | 9 | |
| 5 | 25 | |
| 6 | 91 | |
| 7 | 2 | |
| 8 | 28 | |
| 9 | 31 | |
| 10 | 7 | |
| 11 | 24 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 19 | |
| 15 | 39 | |
| 16 | 27 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 9 | |
| 20 | 18 |
About Helen K. Wong‐Dusting
Helen K. Wong‐Dusting is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology, having authored 20 papers that have together received 385 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (13 papers), Nitric Oxide and Endothelin Effects (8 papers) and Neuropeptides and Animal Physiology (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (156 citations), Physiology (198 citations) and Endocrine and Autonomic Systems (38 citations). Helen K. Wong‐Dusting has collaborated with scholars based in Australia. Frequent co-authors include M. J. Rand, Julianne J. Reid, David Story, Anthony De Luca, Chun Guang Li, James Ziogas, Richard Loiacono, H. Majewski, Mylinh La and Phuong A. Vo. Their work appears in journals such as British Journal of Pharmacology, European Journal of Pharmacology and Journal of Pharmacy and Pharmacology.
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.