WU Guo-ting
Impact in
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- Diabetes Treatment and Management
- Diabetes Management and Research
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- Peroxisome Proliferator-Activated Receptors 2
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- Cardiac Ischemia and Reperfusion 1
- Co-authors
- Jiajun Zhao (1 shared paper)Shenghan Lai (1 shared paper)Dajin Zou (1 shared paper)Weili Tang (1 shared paper)Jie Hong (1 shared paper)Hong Li (1 shared paper)Qing Su (1 shared paper)Yifei Zhang (1 shared paper)
- Journals
- Diabetes Research and Clinical Practice (1 paper)Diabetes Care (1 paper)Journal of Bone and Mineral Metabolism (1 paper)Scientia Sinica Technologica (1 paper)PubMed (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
WU Guo-ting
6 papers receiving 308 citations
Peers
Comparison fields: 5 of 63
- Endocrinology, Diabetes and Metabolism 172
- Aging 5
- Molecular Biology 139
- Pharmacology 32
- Geriatrics and Gerontology 6
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 25 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 | 288 | |
| 2 | Effects of glibenclamide, glimepiride, and gliclazide on ischemic preconditioning in rat heart. | 2007 | 10 |
| 3 | [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 |
| 4 | 2009 | 6 | |
| 5 | 2016 | 4 | |
| 6 | 2009 | 3 | |
| 7 | 2021 | 1 |
About WU Guo-ting
WU Guo-ting is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Astronomy and Astrophysics, Applied Mathematics and Orthopedics and Sports Medicine, having authored 7 papers that have together received 320 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (2 papers), Bone health and osteoporosis research (1 paper), Space Exploration and Technology (1 paper), Low-power high-performance VLSI design (1 paper), Planetary Science and Exploration (1 paper), CCD and CMOS Imaging Sensors (1 paper), Gas Dynamics and Kinetic Theory (1 paper) and Cardiac Ischemia and Reperfusion (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (172 citations), Aging (5 citations), Molecular Biology (139 citations), Pharmacology (32 citations) and Geriatrics and Gerontology (6 citations). WU Guo-ting has collaborated with scholars based in China and United States. Frequent co-authors include Jiajun Zhao, Shenghan Lai, Dajin Zou, Weili Tang, Jie Hong, Hong Li, Qing Su, Yifei Zhang, Weiqing Wang and Jie Shen. Their work appears in journals such as Diabetes Research and Clinical Practice, Diabetes Care, Journal of Bone and Mineral Metabolism, Scientia Sinica Technologica 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.