Ching‐Ray Yu
Impact in
- Applied Psychology top 10%
- Behavioral Health and Interventions
- Nephrology top 10%
- Parathyroid Disorders and Treatments
Papers in
- Genetics 5
- Estrogen and related hormone effects 4
- Co-authors
- Peter W. Park (2 shared papers)Jon O. Ebbert (1 shared paper)Thomas McRae (1 shared paper)Robert West (1 shared paper)Stephen I. Rennard (1 shared paper)Cristina Russ (1 shared paper)John R. Hughes (1 shared paper)Michael P. Dutro (1 shared paper)
- Journals
- Menopause The Journal of The North American Menopause Society (4 papers)JAMA (1 paper)Contemporary Clinical Trials (1 paper)Neuropharmacology (1 paper)Academic Radiology (1 paper)
- Partner nations
- United StatesSwedenPortugal
In The Last Decade
Ching‐Ray Yu
16 papers receiving 383 citations
Peers
Comparison fields: 5 of 87
- Applied Psychology 46
- Nephrology 43
- Physiology 150
- Molecular Biology 176
- Statistics and Probability 18
Countries citing papers authored by Ching‐Ray Yu
This map shows the geographic impact of Ching‐Ray Yu'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‐Ray Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching‐Ray Yu more than expected).
Fields of papers citing papers by Ching‐Ray Yu
This network shows the impact of papers produced by Ching‐Ray Yu. 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‐Ray Yu. The network helps show where Ching‐Ray Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ching‐Ray Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 142 | |
| 2 | 2019 | 111 | |
| 3 | 2013 | 38 | |
| 4 | 2019 | 27 | |
| 5 | 2017 | 22 | |
| 6 | 2015 | 9 | |
| 7 | 2017 | 7 | |
| 8 | 2014 | 7 | |
| 9 | 2020 | 6 | |
| 10 | 2014 | 5 | |
| 11 | 2016 | 5 | |
| 12 | 2016 | 5 | |
| 13 | 2012 | 4 | |
| 14 | 2017 | 4 | |
| 15 | 2023 | 2 | |
| 16 | 2008 | 1 | |
| 17 | 2016 | 0 |
About Ching‐Ray Yu
Ching‐Ray Yu is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Oncology, having authored 17 papers that have together received 395 indexed citations. Recurring topics across this work include Menopause: Health Impacts and Treatments (4 papers), Estrogen and related hormone effects (4 papers), Statistical Methods and Bayesian Inference (3 papers), Smoking Behavior and Cessation (2 papers), Behavioral Health and Interventions (2 papers), Statistical Methods in Clinical Trials (2 papers), Phytoestrogen effects and research (2 papers) and Folate and B Vitamins Research (2 papers). The work is most often cited by research in Applied Psychology (46 citations), Nephrology (43 citations), Physiology (150 citations), Molecular Biology (176 citations) and Statistics and Probability (18 citations). Ching‐Ray Yu has collaborated with scholars based in United States, Sweden and Portugal. Frequent co-authors include Peter W. Park, Jon O. Ebbert, Thomas McRae, Robert West, Stephen I. Rennard, Cristina Russ, John R. Hughes, Michael P. Dutro, Kelly H. Zou and Martin Carlsson. Their work appears in journals such as Menopause The Journal of The North American Menopause Society, JAMA, Contemporary Clinical Trials, Neuropharmacology and Academic Radiology.
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.