Ching‐Yun Wang
Impact in
- Physiology top 10%
- Diet and metabolism studies
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
Papers in
-
- Statistical Methods and Inference 16
- Statistical Methods and Bayesian Inference 14
- Advanced Causal Inference Techniques 4
- Statistical Methods in Clinical Trials 4
- Statistical Distribution Estimation and Applications 3
- Physiology 10
- Dietary Effects on Health 4
- Telomeres, Telomerase, and Senescence 3
- Co-authors
- Catherine Duggan (17 shared papers)Anne McTiernan (15 shared papers)Jean de Dieu Tapsoba (16 shared papers)Catherine M. Alfano (5 shared papers)Karen E. Foster‐Schubert (4 shared papers)Kristin L. Campbell (3 shared papers)Liren Xiao (3 shared papers)George L. Blackburn (3 shared papers)
- Journals
- Statistics in Medicine (7 papers)Biometrics (4 papers)Cancer Prevention Research (3 papers)Cancer Epidemiology Biomarkers & Prevention (2 papers)The International Journal of Biostatistics (2 papers)
- Partner nations
- United StatesTaiwanSouth Africa
In The Last Decade
Ching‐Yun Wang
48 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 124
- Physiology 269
- Statistics and Probability 80
- Pharmacy 29
- Endocrine and Autonomic Systems 42
- Public Health, Environmental and Occupational Health 139
Countries citing papers authored by Ching‐Yun Wang
This map shows the geographic impact of Ching‐Yun Wang'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 Ching‐Yun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching‐Yun Wang more than expected).
Fields of papers citing papers by Ching‐Yun Wang
This network shows the impact of papers produced by Ching‐Yun Wang. 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 Ching‐Yun Wang. The network helps show where Ching‐Yun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ching‐Yun Wang, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 349 | |
| 2 | 2012 | 53 | |
| 3 | 2015 | 51 | |
| 4 | 2020 | 51 | |
| 5 | 2015 | 43 | |
| 6 | 2014 | 42 | |
| 7 | 2015 | 37 | |
| 8 | 2016 | 35 | |
| 9 | 2019 | 35 | |
| 10 | 2016 | 31 | |
| 11 | 2015 | 30 | |
| 12 | 2014 | 25 | |
| 13 | 2022 | 24 | |
| 14 | 2012 | 21 | |
| 15 | 2014 | 20 | |
| 16 | 2018 | 19 | |
| 17 | 2020 | 19 | |
| 18 | 2014 | 18 | |
| 19 | 2018 | 15 | |
| 20 | 2017 | 14 |
About Ching‐Yun Wang
Ching‐Yun Wang is a scholar working on Statistics and Probability, Physiology, Oncology, Molecular Biology and Epidemiology, having authored 52 papers that have together received 1.0k indexed citations. Recurring topics across this work include Statistical Methods and Inference (16 papers), Statistical Methods and Bayesian Inference (14 papers), Advanced Causal Inference Techniques (4 papers), Dietary Effects on Health (4 papers), Statistical Methods in Clinical Trials (4 papers), Statistical Distribution Estimation and Applications (3 papers), Telomeres, Telomerase, and Senescence (3 papers) and Vitamin D Research Studies (3 papers). The work is most often cited by research in Physiology (269 citations), Statistics and Probability (80 citations), Pharmacy (29 citations), Endocrine and Autonomic Systems (42 citations) and Public Health, Environmental and Occupational Health (139 citations). Ching‐Yun Wang has collaborated with scholars based in United States, Taiwan and South Africa. Frequent co-authors include Catherine Duggan, Anne McTiernan, Jean de Dieu Tapsoba, Catherine M. Alfano, Karen E. Foster‐Schubert, Kristin L. Campbell, Liren Xiao, George L. Blackburn, Angela Kong and Carolyn Bain. Their work appears in journals such as Statistics in Medicine, Biometrics, Cancer Prevention Research, Cancer Epidemiology Biomarkers & Prevention and The International Journal of Biostatistics.
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.