Shu‐Ling Tsai
Impact in
- Demography top 5%
- Global Educational Reforms and Inequalities
Papers in
-
- Primary Care and Health Outcomes 3
- Global Health Care Issues 3
-
- Intergenerational and Educational Inequality Studies 5
- Co-authors
- Robert M. Hauser (3 shared papers)William H. Sewell (1 shared paper)Chi‐Chen Chen (1 shared paper)Shou‐Hsia Cheng (1 shared paper)Yossi Shavit (3 shared papers)Michael L. Smith (3 shared papers)Yu Xie (2 shared papers)Ya‐yu Lo (1 shared paper)
- Journals
- Sociology of Education (3 papers)Health Policy (2 papers)Journal of the American Medical Directors Association (2 papers)Medical Care (2 papers)Social Science & Medicine (1 paper)
- Partner nations
- TaiwanUnited StatesSouth Korea
In The Last Decade
Shu‐Ling Tsai
40 papers receiving 811 citations
Peers
Comparison fields: 5 of 109
- Research and Theory 8
- Demography 82
- Education 196
- Emergency Medical Services 39
- Sociology and Political Science 249
Countries citing papers authored by Shu‐Ling Tsai
This map shows the geographic impact of Shu‐Ling Tsai'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 Shu‐Ling Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu‐Ling Tsai more than expected).
Fields of papers citing papers by Shu‐Ling Tsai
This network shows the impact of papers produced by Shu‐Ling Tsai. 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 Shu‐Ling Tsai. The network helps show where Shu‐Ling Tsai may publish in the future.
Co-authors
The 25 scholars most cited alongside Shu‐Ling Tsai, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1983 | 209 | |
| 2 | 2003 | 78 | |
| 3 | 2012 | 65 | |
| 4 | 2008 | 46 | |
| 5 | 2015 | 36 | |
| 6 | 2017 | 33 | |
| 7 | 1994 | 33 | |
| 8 | 2014 | 27 | |
| 9 | 2017 | 26 | |
| 10 | 2017 | 25 | |
| 11 | 2016 | 24 | |
| 12 | 2020 | 23 | |
| 13 | 2008 | 21 | |
| 14 | 2007 | 18 | |
| 15 | 2013 | 17 | |
| 16 | 2010 | 17 | |
| 17 | 2007 | 16 | |
| 18 | 2015 | 16 | |
| 19 | 2010 | 16 | |
| 20 | 2018 | 15 |
About Shu‐Ling Tsai
Shu‐Ling Tsai is a scholar working on General Health Professions, Sociology and Political Science, Economics and Econometrics, Demography and Education, having authored 42 papers that have together received 893 indexed citations. Recurring topics across this work include Global Educational Reforms and Inequalities (6 papers), School Choice and Performance (6 papers), Intergenerational and Educational Inequality Studies (5 papers), Healthcare Policy and Management (4 papers), Patient Safety and Medication Errors (3 papers), Primary Care and Health Outcomes (3 papers), Labor market dynamics and wage inequality (3 papers) and Global Health Care Issues (3 papers). The work is most often cited by research in Research and Theory (8 citations), Demography (82 citations), Education (196 citations), Emergency Medical Services (39 citations) and Sociology and Political Science (249 citations). Shu‐Ling Tsai has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Robert M. Hauser, William H. Sewell, Chi‐Chen Chen, Shou‐Hsia Cheng, Yossi Shavit, Michael L. Smith, Yu Xie, Ya‐yu Lo, Gwendolyn Cartledge and Nicole Huang. Their work appears in journals such as Sociology of Education, Health Policy, Journal of the American Medical Directors Association, Medical Care and Social Science & Medicine.
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.