Helen Fu
Impact in
- General Health Professions top 10%
- Mobile Health and mHealth Applications
- Health Literacy and Information Accessibility
Papers in
-
- Mobile Health and mHealth Applications 5
- Patient Satisfaction in Healthcare 1
-
- Chronic Disease Management Strategies 3
- Hepatitis B Virus Studies 1
- Co-authors
- Terrence J Adam (6 shared papers)Jean F. Wyman (5 shared papers)Cynthia R. Gross (1 shared paper)Siobhan McMahon (1 shared paper)Thomas S. Dee (1 shared paper)Arlene S. Bierman (2 shared papers)Jing Wang (1 shared paper)Lipika Samal (1 shared paper)
- Journals
- Blood (3 papers)The Annals of Family Medicine (2 papers)CIN Computers Informatics Nursing (2 papers)Journal of Medical Internet Research (1 paper)Economics of Education Review (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Helen Fu
16 papers receiving 315 citations
Peers
Comparison fields: 5 of 79
- General Health Professions 129
- Family Practice 8
- Applied Psychology 18
- Health Information Management 14
- Health Informatics 4
Countries citing papers authored by Helen Fu
This map shows the geographic impact of Helen Fu'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 Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helen Fu more than expected).
Fields of papers citing papers by Helen Fu
This network shows the impact of papers produced by Helen Fu. 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 Fu. The network helps show where Helen Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Helen Fu, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 124 | |
| 2 | 2021 | 64 | |
| 3 | 2004 | 48 | |
| 4 | 2019 | 21 | |
| 5 | 2020 | 20 | |
| 6 | 2022 | 14 | |
| 7 | 2020 | 9 | |
| 8 | 2022 | 8 | |
| 9 | 2009 | 7 | |
| 10 | 2020 | 5 | |
| 11 | 2021 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2020 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2014 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2001 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2019 | 0 | |
| 20 | 2023 | 0 |
About Helen Fu
Helen Fu is a scholar working on General Health Professions, Epidemiology, Endocrinology, Diabetes and Metabolism, Surgery and Immunology, having authored 24 papers that have together received 341 indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (5 papers), Diabetes Management and Education (4 papers), Chronic Disease Management Strategies (3 papers), Complement system in diseases (3 papers), Renal Diseases and Glomerulopathies (2 papers), Diabetes Management and Research (1 paper), Patient Satisfaction in Healthcare (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in General Health Professions (129 citations), Family Practice (8 citations), Applied Psychology (18 citations), Health Information Management (14 citations) and Health Informatics (4 citations). Helen Fu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Terrence J Adam, Jean F. Wyman, Cynthia R. Gross, Siobhan McMahon, Thomas S. Dee, Arlene S. Bierman, Jing Wang, Lipika Samal, David A. Dorr and Rubina Rizvi. Their work appears in journals such as Blood, The Annals of Family Medicine, CIN Computers Informatics Nursing, Journal of Medical Internet Research and Economics of Education Review.
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.