Su‐Ying Liang
- General Health Professions top 5%
- Oncology top 10%
- Economics and Econometrics top 2%
- Public Health, Environmental and Occupational Health top 5%
- Pulmonary and Respiratory Medicine
- Co-authors
- Jennifer S. HaasKathryn A. PhillipsDean SonnebornCelia P. KaplanLaurence C. BakerJulie SakowskiCharles E. McCullochKarla Kerlikowske
- Topics
- Global Cancer Incidence and Screening (18 papers)Healthcare Policy and Management (16 papers)Health Systems, Economic Evaluations, Quality of Life (14 papers)
- Partner nations
- United StatesUnited KingdomQatar
In The Last Decade
Su‐Ying Liang
71 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 120
- General Health Professions 446
- Oncology 436
- Economics and Econometrics 432
- Public Health, Environmental and Occupational Health 291
- Pulmonary and Respiratory Medicine 152
Countries citing papers authored by Su‐Ying Liang
This map shows the geographic impact of Su‐Ying Liang'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 Su‐Ying Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su‐Ying Liang more than expected).
Fields of papers citing papers by Su‐Ying Liang
This network shows the impact of papers produced by Su‐Ying Liang. 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 Su‐Ying Liang. The network helps show where Su‐Ying Liang may publish in the future.
Co-authorship network of co-authors of Su‐Ying Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Su‐Ying Liang. A scholar is included among the top collaborators of Su‐Ying Liang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Su‐Ying Liang. Su‐Ying Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | 16 | |
| 9 | 20 | |
| 10 | 21 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 26 | |
| 16 | 14 | |
| 17 | 2 | |
| 18 | 12 | |
| 19 | 76 | |
| 20 | Does patient cost sharing matter? Its impact on recommended versus controversial cancer screening services. | 24 |
About Su‐Ying Liang
Su‐Ying Liang is a scholar working on Oncology, Economics and Econometrics and General Health Professions, having authored 76 papers that have together received 1.4k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (18 papers), Healthcare Policy and Management (16 papers) and Health Systems, Economic Evaluations, Quality of Life (14 papers). The work is most often cited by research in General Health Professions (446 citations), Oncology (436 citations) and Economics and Econometrics (432 citations). Su‐Ying Liang has collaborated with scholars based in United States, United Kingdom and Qatar. Frequent co-authors include Jennifer S. Haas, Kathryn A. Phillips, Kathryn A. Phillips, Dean Sonneborn, Celia P. Kaplan, Laurence C. Baker, Julie Sakowski, Charles E. McCulloch, Karla Kerlikowske and Douglas A. Conrad. Their work appears in journals such as JAMA, Nature Communications and Journal of Clinical Oncology.
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.