Kathryn Dansie
- Nephrology top 10%
- Public Health, Environmental and Occupational Health
- General Health Professions
- Economics and Econometrics
- Transplantation top 10%
- Co-authors
- Stephen P. McDonaldPhilip A. ClaytonMatthew P. SypekShilpanjali JesudasonEmily DuncansonAllison TongRachael L. MortonSuetonia C. Palmer
- Topics
- Dialysis and Renal Disease Management (12 papers)Health Systems, Economic Evaluations, Quality of Life (4 papers)Renal and Vascular Pathologies (3 papers)
- Journals
- Kidney InternationalJournal of the American Society of NephrologyEuropean Journal of Neuroscience
- Partner nations
- AustraliaNew ZealandUnited Kingdom
In The Last Decade
Kathryn Dansie
21 papers receiving 193 citations
Peers
Comparison fields: 5 of 53
- Nephrology 59
- Public Health, Environmental and Occupational Health 56
- General Health Professions 45
- Economics and Econometrics 43
- Transplantation 37
Countries citing papers authored by Kathryn Dansie
This map shows the geographic impact of Kathryn Dansie'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 Kathryn Dansie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathryn Dansie more than expected).
Fields of papers citing papers by Kathryn Dansie
This network shows the impact of papers produced by Kathryn Dansie. 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 Kathryn Dansie. The network helps show where Kathryn Dansie may publish in the future.
Co-authorship network of co-authors of Kathryn Dansie
This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn Dansie. A scholar is included among the top collaborators of Kathryn Dansie 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 Kathryn Dansie. Kathryn Dansie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 20 | |
| 8 | 10 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 14 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 24 | |
| 16 | 23 | |
| 17 | 19 | |
| 18 | 8 | |
| 19 | 3 | |
| 20 | 14 |
About Kathryn Dansie
Kathryn Dansie is a scholar working on Nephrology, Transplantation and Public Health, Environmental and Occupational Health, having authored 21 papers that have together received 193 indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (12 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Renal and Vascular Pathologies (3 papers). The work is most often cited by research in Transplantation (37 citations), Nephrology (59 citations) and Emergency Medical Services (17 citations). Kathryn Dansie has collaborated with scholars based in Australia, New Zealand and United Kingdom. Frequent co-authors include Stephen P. McDonald, Philip A. Clayton, Matthew P. Sypek, Shilpanjali Jesudason, Emily Duncanson, Allison Tong, Rachael L. Morton, Suetonia C. Palmer, Andrea K. Viecelli and Angela C Webster. Their work appears in journals such as Kidney International, Journal of the American Society of Nephrology and European Journal of Neuroscience.
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.