WU Guo-ting
Impact in
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- Diabetes Treatment and Management
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Management and Research
Papers in
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- Diabetes Treatment and Management 3
- Diabetes, Cardiovascular Risks, and Lipoproteins 1
-
- Bone health and osteoporosis research 1
- Co-authors
- Lin Wang (1 shared paper)Jun Li (1 shared paper)Weizhong Zhu (1 shared paper)Chunjun Sheng (1 shared paper)Zhi Li (1 shared paper)Fang Li (1 shared paper)Ran Cui (1 shared paper)Xiaoyun Cheng (1 shared paper)
- Journals
- Diabetes Care (2 papers)Diabetes Research and Clinical Practice (1 paper)Journal of Bone and Mineral Metabolism (1 paper)PubMed (2 papers)
- Partner nations
- China
In The Last Decade
WU Guo-ting
6 papers receiving 339 citations
Peers
Comparison fields: 5 of 46
- Endocrinology, Diabetes and Metabolism 205
- Aging 3
- Molecular Biology 84
- Cardiology and Cardiovascular Medicine 26
- Geriatrics and Gerontology 2
Countries citing papers authored by WU Guo-ting
This map shows the geographic impact of WU Guo-ting'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 WU Guo-ting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites WU Guo-ting more than expected).
Fields of papers citing papers by WU Guo-ting
This network shows the impact of papers produced by WU Guo-ting. 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 WU Guo-ting. The network helps show where WU Guo-ting may publish in the future.
Co-authors
The 18 scholars most cited alongside WU Guo-ting, 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 | 2012 | 302 | |
| 2 | 2014 | 25 | |
| 3 | Effects of glibenclamide, glimepiride, and gliclazide on ischemic preconditioning in rat heart. | 2007 | 11 |
| 4 | [Study on the relationship between polymorphisms of peroxisome proliferators-activated receptor-gamma coactivator-1alpha gene and type 2 diabetes in Shanghai Hans in China]. | 2005 | 8 |
| 5 | 2009 | 6 | |
| 6 | 2009 | 3 |
About WU Guo-ting
WU Guo-ting is a scholar working on Endocrinology, Diabetes and Metabolism, Orthopedics and Sports Medicine, Pathology and Forensic Medicine, Molecular Biology and Genetics, having authored 6 papers that have together received 355 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Cardiac Ischemia and Reperfusion (1 paper), Bone health and osteoporosis research (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Genetic Associations and Epidemiology (1 paper) and Genetics and Physical Performance (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (205 citations), Aging (3 citations), Molecular Biology (84 citations), Cardiology and Cardiovascular Medicine (26 citations) and Geriatrics and Gerontology (2 citations). WU Guo-ting has collaborated with scholars based in China. Frequent co-authors include Lin Wang, Jun Li, Weizhong Zhu, Chunjun Sheng, Zhi Li, Fang Li, Ran Cui, Xiaoyun Cheng, Yongchun Yu and Haidong Cai. Their work appears in journals such as Diabetes Care, Diabetes Research and Clinical Practice, Journal of Bone and Mineral Metabolism and PubMed.
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.