Dai Su
Impact in
- Health top 5%
- Health disparities and outcomes
Papers in
- Finance 11
- Healthcare Systems and Reforms 11
-
- Gear and Bearing Dynamics Analysis 4
- Co-authors
- Yingchun Chen (21 shared papers)Xingyu Zhang (4 shared papers)Kevin He (4 shared papers)Xinlin Chen (4 shared papers)Min Tan (8 shared papers)Jingjing Chang (14 shared papers)Yunfan Zhang (3 shared papers)Haomiao Li (15 shared papers)
- Journals
- International Journal of Environmental Research and Public Health (6 papers)BMC Health Services Research (3 papers)BMJ Open (2 papers)BMC Public Health (2 papers)Frontiers in Public Health (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Dai Su
46 papers receiving 479 citations
Peers
Comparison fields: 5 of 119
- Neuropsychology and Physiological Psychology 21
- Health 111
- Finance 89
- Geriatrics and Gerontology 24
- General Health Professions 116
Countries citing papers authored by Dai Su
This map shows the geographic impact of Dai Su'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 Dai Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dai Su more than expected).
Fields of papers citing papers by Dai Su
This network shows the impact of papers produced by Dai Su. 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 Dai Su. The network helps show where Dai Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Dai Su, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 85 | |
| 2 | 2022 | 48 | |
| 3 | 2019 | 39 | |
| 4 | 2020 | 38 | |
| 5 | 2013 | 30 | |
| 6 | 2019 | 30 | |
| 7 | 2021 | 23 | |
| 8 | 2022 | 18 | |
| 9 | 2023 | 15 | |
| 10 | 2018 | 13 | |
| 11 | 2019 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2020 | 9 | |
| 14 | 2013 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2019 | 7 | |
| 17 | 2018 | 7 | |
| 18 | 2013 | 7 | |
| 19 | 2019 | 6 | |
| 20 | 2019 | 6 |
About Dai Su
Dai Su is a scholar working on Finance, Mechanical Engineering, General Health Professions, Economics and Econometrics and Health, having authored 48 papers that have together received 487 indexed citations. Recurring topics across this work include Healthcare Systems and Reforms (11 papers), Healthcare Policy and Management (9 papers), Global Health Care Issues (5 papers), Health disparities and outcomes (5 papers), Global Maternal and Child Health (5 papers), Gear and Bearing Dynamics Analysis (4 papers), Emergency and Acute Care Studies (4 papers) and Intergenerational Family Dynamics and Caregiving (4 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (21 citations), Health (111 citations), Finance (89 citations), Geriatrics and Gerontology (24 citations) and General Health Professions (116 citations). Dai Su has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yingchun Chen, Xingyu Zhang, Kevin He, Xinlin Chen, Min Tan, Jingjing Chang, Yunfan Zhang, Haomiao Li, Amin Al‐Habaibeh and Di Jiang. Their work appears in journals such as International Journal of Environmental Research and Public Health, BMC Health Services Research, BMJ Open, BMC Public Health and Frontiers in Public Health.
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.