Rose Sisk
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Health top 10%
- Intimate Partner and Family Violence
Papers in
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- Chronic Kidney Disease and Diabetes 6
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- Diabetes Treatment and Management 4
- Co-authors
- Glen P. Martin (5 shared papers)Niels Peek (5 shared papers)Matthew Sperrin (4 shared papers)Alain C. Vandal (4 shared papers)Denise Wilson (2 shared papers)Jane Koziol‐McLain (2 shared papers)Shyamala Nada‐Raja (2 shared papers)Karen Eden (1 shared paper)
- Journals
- Journal of Medical Internet Research (2 papers)Journal of Clinical Epidemiology (2 papers)Journal of the American Society of Nephrology (2 papers)Ear and Hearing (1 paper)Journal of Affective Disorders (1 paper)
- Partner nations
- United KingdomNew ZealandUnited States
In The Last Decade
Rose Sisk
16 papers receiving 303 citations
Peers
Comparison fields: 5 of 97
- Health Informatics 14
- Health 65
- Nephrology 33
- Statistics and Probability 26
- Health Information Management 14
Countries citing papers authored by Rose Sisk
This map shows the geographic impact of Rose Sisk'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 Rose Sisk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rose Sisk more than expected).
Fields of papers citing papers by Rose Sisk
This network shows the impact of papers produced by Rose Sisk. 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 Rose Sisk. The network helps show where Rose Sisk may publish in the future.
Co-authors
The 25 scholars most cited alongside Rose Sisk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 68 | |
| 2 | 2020 | 66 | |
| 3 | 2023 | 33 | |
| 4 | 2020 | 30 | |
| 5 | 2020 | 23 | |
| 6 | 2020 | 21 | |
| 7 | 2017 | 18 | |
| 8 | 2018 | 16 | |
| 9 | 2016 | 11 | |
| 10 | 2018 | 7 | |
| 11 | 2023 | 5 | |
| 12 | 2019 | 5 | |
| 13 | 2022 | 3 | |
| 14 | 2019 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2024 | 0 |
About Rose Sisk
Rose Sisk is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, General Health Professions and Artificial Intelligence, having authored 18 papers that have together received 309 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (6 papers), Diabetes Treatment and Management (4 papers), Machine Learning in Healthcare (3 papers), Statistical Methods and Bayesian Inference (2 papers), Intimate Partner and Family Violence (2 papers), Adolescent Sexual and Reproductive Health (2 papers), Child and Adolescent Psychosocial and Emotional Development (2 papers) and Sexual Assault and Victimization Studies (2 papers). The work is most often cited by research in Health Informatics (14 citations), Health (65 citations), Nephrology (33 citations), Statistics and Probability (26 citations) and Health Information Management (14 citations). Rose Sisk has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include Glen P. Martin, Niels Peek, Matthew Sperrin, Alain C. Vandal, Denise Wilson, Jane Koziol‐McLain, Shyamala Nada‐Raja, Karen Eden, Nancy Glass and Maarten van Smeden. Their work appears in journals such as Journal of Medical Internet Research, Journal of Clinical Epidemiology, Journal of the American Society of Nephrology, Ear and Hearing and Journal of Affective Disorders.
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.