Ching‐Yun Wang
Impact in
- Physiology top 5%
- Diet and metabolism studies
- Physical Activity and Health
- Nutrition and Health in Aging
- Dietary Effects on Health
- Statistics and Probability top 5%
Papers in
-
- Statistical Methods and Inference 16
- Statistical Methods and Bayesian Inference 14
- Advanced Causal Inference Techniques 4
- Statistical Methods in Clinical Trials 4
- Physiology 13
- Dietary Effects on Health 5
- Co-authors
- Catherine Duggan (16 shared papers)Anne McTiernan (14 shared papers)Catherine M. Alfano (5 shared papers)Jean de Dieu Tapsoba (15 shared papers)Karen E. Foster‐Schubert (4 shared papers)Kristin L. Campbell (3 shared papers)George L. Blackburn (3 shared papers)Angela Kong (3 shared papers)
- Journals
- Statistics in Medicine (7 papers)Biometrics (4 papers)Cancer Prevention Research (3 papers)Biometrical Journal (2 papers)International Journal of Cancer (2 papers)
- Partner nations
- United StatesTaiwanSouth Africa
In The Last Decade
Ching‐Yun Wang
48 papers receiving 992 citations
Peers
Comparison fields: 5 of 128
- Physiology 391
- Statistics and Probability 82
- Pharmacy 49
- Public Health, Environmental and Occupational Health 255
- Endocrine and Autonomic Systems 51
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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 343 | |
| 2 | 2012 | 53 | |
| 3 | 2015 | 47 | |
| 4 | 2020 | 47 | |
| 5 | 2014 | 42 | |
| 6 | 2015 | 42 | |
| 7 | 2015 | 37 | |
| 8 | 2016 | 35 | |
| 9 | 2019 | 31 | |
| 10 | 2015 | 30 | |
| 11 | 2016 | 29 | |
| 12 | 2014 | 24 | |
| 13 | 2022 | 22 | |
| 14 | 2012 | 21 | |
| 15 | 2018 | 19 | |
| 16 | 2014 | 19 | |
| 17 | 2020 | 18 | |
| 18 | 2014 | 18 | |
| 19 | 2018 | 14 | |
| 20 | 2018 | 14 |
About Ching‐Yun Wang
Ching‐Yun Wang is a scholar working on Statistics and Probability, Physiology, Public Health, Environmental and Occupational Health, Oncology and Epidemiology, having authored 50 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), Eating Disorders and Behaviors (6 papers), Dietary Effects on Health (5 papers), Nutritional Studies and Diet (5 papers), Obesity, Physical Activity, Diet (4 papers), Advanced Causal Inference Techniques (4 papers) and Statistical Methods in Clinical Trials (4 papers). The work is most often cited by research in Physiology (391 citations), Statistics and Probability (82 citations), Pharmacy (49 citations), Public Health, Environmental and Occupational Health (255 citations) and Endocrine and Autonomic Systems (51 citations). Ching‐Yun Wang has collaborated with scholars based in United States, Taiwan and South Africa. Frequent co-authors include Catherine Duggan, Anne McTiernan, Catherine M. Alfano, Jean de Dieu Tapsoba, Karen E. Foster‐Schubert, Kristin L. Campbell, George L. Blackburn, Angela Kong, Liren Xiao and Carolyn Bain. Their work appears in journals such as Statistics in Medicine, Biometrics, Cancer Prevention Research, Biometrical Journal and International Journal of Cancer.
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.