William C. Hsiao
- Finance top 0.1%
- Healthcare Systems and Reforms 49
- General Health Professions top 0.1%
- Global Health Care Issues 34
- Primary Care and Health Outcomes 14
- Healthcare cost, quality, practices 6
- Patient Satisfaction in Healthcare 4
- Economics and Econometrics top 0.1%
- Healthcare Policy and Management 52
- Health Systems, Economic Evaluations, Quality of Life 10
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- Global Maternal and Child Health 23
- Health top 1%
- Co-authors
- Winnie YipWen ChenJui-fen Rachel LuDavid BlumenthalShanlian HuAlan MaynardJin MaYuanli Liu
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
William C. Hsiao
82 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Finance 4.0k
- General Health Professions 4.3k
- Economics and Econometrics 3.5k
- Pediatrics, Perinatology and Child Health 2.2k
- Health 614
Countries citing papers authored by William C. Hsiao
This map shows the geographic impact of William C. Hsiao'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 William C. Hsiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William C. Hsiao more than expected).
Fields of papers citing papers by William C. Hsiao
This network shows the impact of papers produced by William C. Hsiao. 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 William C. Hsiao. The network helps show where William C. Hsiao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William C. Hsiao, 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 | 2023 | 1 | |
| 2 | 2023 | 8 | |
| 3 | 2023 | 0 | |
| 4 | 2019 | 6 | |
| 5 | 2015 | 156 | |
| 6 | 2011 | 5 | |
| 7 | 2010 | 316 | |
| 8 | 2009 | 9 | |
| 9 | 2008 | 80 | |
| 10 | 2005 | 66 | |
| 11 | 2005 | 132 | |
| 12 | 2005 | 107 | |
| 13 | 2004 | 37 | |
| 14 | Effectiveness of Community Health Financing in Meeting the Cost of Illness | 2002 | 4 |
| 15 | 1999 | 212 | |
| 16 | 1996 | 37 | |
| 17 | 1995 | 71 | |
| 18 | 1995 | 223 | |
| 19 | 1994 | 53 | |
| 20 | 1988 | 298 |
About William C. Hsiao
William C. Hsiao is a scholar working on Finance, General Health Professions and Economics and Econometrics, having authored 84 papers that have together received 7.8k indexed citations. Recurring topics across this work include Healthcare Policy and Management (52 papers), Healthcare Systems and Reforms (49 papers), Global Health Care Issues (34 papers), Global Maternal and Child Health (23 papers), Primary Care and Health Outcomes (14 papers), Health Systems, Economic Evaluations, Quality of Life (10 papers), Healthcare cost, quality, practices (6 papers) and Patient Satisfaction in Healthcare (4 papers). The work is most often cited by research in Finance (4.0k citations), General Health Professions (4.3k citations) and Economics and Econometrics (3.5k citations). William C. Hsiao has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Winnie Yip, Wen Chen, Jui-fen Rachel Lu, David Blumenthal, Shanlian Hu, Alan Maynard, Jin Ma, Yuanli Liu, Edmund R. Becker and Peter Braun. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
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.