WU Guo-ting
Impact in
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- Diabetes Treatment and Management
- Diabetes Management and Research
- Diabetes, Cardiovascular Risks, and Lipoproteins
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- Metabolism, Diabetes, and Cancer
Papers in
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- Metabolism, Diabetes, and Cancer 2
- Peroxisome Proliferator-Activated Receptors 2
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- Diabetes Treatment and Management 2
- Diabetes, Cardiovascular Risks, and Lipoproteins 1
- Diabetes Management and Research 1
- Co-authors
- Qing Su (1 shared paper)Weiqing Wang (1 shared paper)Dong Yan (1 shared paper)Yifei Zhang (1 shared paper)Hong Li (1 shared paper)Weili Tang (1 shared paper)Shenghan Lai (1 shared paper)Weifeng Shen (1 shared paper)
- Journals
- Journal of Bone and Mineral Metabolism (1 paper)Diabetes Care (1 paper)Diabetes Research and Clinical Practice (1 paper)Scientia Sinica Technologica (1 paper)PubMed (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
WU Guo-ting
6 papers receiving 296 citations
Peers
Comparison fields: 5 of 68
- Endocrinology, Diabetes and Metabolism 208
- Molecular Biology 165
- Aging 4
- Pharmacology 38
- Cardiology and Cardiovascular Medicine 43
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 | 277 | |
| 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 | 5 | |
| 5 | 2016 | 4 | |
| 6 | 2009 | 2 | |
| 7 | 2021 | 1 |
About WU Guo-ting
WU Guo-ting is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 307 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (2 papers), Diabetes Treatment and Management (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Pancreatic function and diabetes (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Bone health and osteoporosis research (1 paper), Diabetes Management and Research (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (208 citations), Molecular Biology (165 citations), Aging (4 citations), Pharmacology (38 citations) and Cardiology and Cardiovascular Medicine (43 citations). WU Guo-ting has collaborated with scholars based in China and United States. Frequent co-authors include Qing Su, Weiqing Wang, Dong Yan, Yifei Zhang, Hong Li, Weili Tang, Shenghan Lai, Weifeng Shen, Wang Dawang and Jie Hong. Their work appears in journals such as Journal of Bone and Mineral Metabolism, Diabetes Care, Diabetes Research and Clinical Practice, 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.