Kate Wang
Impact in
- Geriatrics and Gerontology top 2%
- Pharmaceutical Practices and Patient Outcomes
- Health Informatics top 10%
Papers in
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- Pharmaceutical Practices and Patient Outcomes 10
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- EEG and Brain-Computer Interfaces 6
- Co-authors
- Hua Wang (14 shared papers)Yanchun Zhang (6 shared papers)Siuly Siuly (6 shared papers)Khandakar Ahmed (3 shared papers)Rubina Sarki (3 shared papers)Md. Nurul Ahad Tawhid (4 shared papers)J. Simon Bell (7 shared papers)Damiën van Berlo (1 shared paper)
- Journals
- PLoS ONE (3 papers)Australasian Journal on Ageing (3 papers)World Wide Web (2 papers)Journal of Dentistry (2 papers)Journal of the American Medical Directors Association (2 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Kate Wang
45 papers receiving 932 citations
Peers
Comparison fields: 5 of 119
- Geriatrics and Gerontology 129
- Health Informatics 15
- Health Information Management 45
- Urology 51
- Neurology 67
Countries citing papers authored by Kate Wang
This map shows the geographic impact of Kate Wang'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 Kate Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate Wang more than expected).
Fields of papers citing papers by Kate Wang
This network shows the impact of papers produced by Kate Wang. 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 Kate Wang. The network helps show where Kate Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kate Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 141 | |
| 2 | 2021 | 79 | |
| 3 | 2021 | 78 | |
| 4 | 2019 | 59 | |
| 5 | 2018 | 59 | |
| 6 | 2007 | 57 | |
| 7 | 2022 | 54 | |
| 8 | 2022 | 52 | |
| 9 | 2023 | 49 | |
| 10 | 2018 | 46 | |
| 11 | 2016 | 38 | |
| 12 | 2022 | 35 | |
| 13 | 2012 | 24 | |
| 14 | 2022 | 15 | |
| 15 | 2019 | 14 | |
| 16 | 2023 | 14 | |
| 17 | 2021 | 13 | |
| 18 | 2022 | 11 | |
| 19 | 2020 | 10 | |
| 20 | 2023 | 9 |
About Kate Wang
Kate Wang is a scholar working on Geriatrics and Gerontology, Cognitive Neuroscience, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 53 papers that have together received 956 indexed citations. Recurring topics across this work include Pharmaceutical Practices and Patient Outcomes (10 papers), EEG and Brain-Computer Interfaces (6 papers), Retinal Imaging and Analysis (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Artificial Intelligence in Healthcare (3 papers), Privacy-Preserving Technologies in Data (3 papers), Dementia and Cognitive Impairment Research (3 papers) and ECG Monitoring and Analysis (3 papers). The work is most often cited by research in Geriatrics and Gerontology (129 citations), Health Informatics (15 citations), Health Information Management (45 citations), Urology (51 citations) and Neurology (67 citations). Kate Wang has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Hua Wang, Yanchun Zhang, Siuly Siuly, Khandakar Ahmed, Rubina Sarki, Md. Nurul Ahad Tawhid, J. Simon Bell, Damiën van Berlo, Miriam E. Gerlofs-Nijland and Flemming R. Cassee. Their work appears in journals such as PLoS ONE, Australasian Journal on Ageing, World Wide Web, Journal of Dentistry and Journal of the American Medical Directors Association.
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.