Yao Wang
Impact in
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- Natural Antidiabetic Agents Studies
- Diabetes Treatment and Management
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
Papers in
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- Metabolism, Diabetes, and Cancer 10
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- Diabetes Treatment and Management 12
- Natural Antidiabetic Agents Studies 4
- Co-authors
- Dongmin Liu (13 shared papers)Hana Alkhalidy (9 shared papers)Jing Luo (6 shared papers)William T. Moore (3 shared papers)Ryan P. McMillan (3 shared papers)Haoran Shen (1 shared paper)Guoyin Kai (2 shared papers)Fenfen Huang (2 shared papers)
- Journals
- PLoS ONE (6 papers)Frontiers in Endocrinology (4 papers)Scientific Reports (3 papers)Frontiers in Public Health (3 papers)The FASEB Journal (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yao Wang
111 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 152
- Endocrinology, Diabetes and Metabolism 426
- Biochemistry 150
- Molecular Biology 960
- Obstetrics and Gynecology 83
- Complementary and alternative medicine 87
Countries citing papers authored by Yao Wang
This map shows the geographic impact of Yao 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 Yao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Wang more than expected).
Fields of papers citing papers by Yao Wang
This network shows the impact of papers produced by Yao 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 Yao Wang. The network helps show where Yao Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yao 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 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 124 | |
| 2 | 2018 | 109 | |
| 3 | 2018 | 104 | |
| 4 | 2018 | 101 | |
| 5 | 2017 | 98 | |
| 6 | 2020 | 89 | |
| 7 | 2007 | 85 | |
| 8 | 2021 | 69 | |
| 9 | 2022 | 67 | |
| 10 | 2015 | 62 | |
| 11 | 2022 | 58 | |
| 12 | 2021 | 51 | |
| 13 | 2018 | 51 | |
| 14 | 2023 | 49 | |
| 15 | 2005 | 47 | |
| 16 | 2010 | 46 | |
| 17 | 2016 | 45 | |
| 18 | 2016 | 44 | |
| 19 | 2015 | 42 | |
| 20 | 2016 | 41 |
About Yao Wang
Yao Wang is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Surgery and Pediatrics, Perinatology and Child Health, having authored 125 papers that have together received 2.4k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (12 papers), Metabolism, Diabetes, and Cancer (10 papers), Pancreatic function and diabetes (7 papers), Pregnancy and preeclampsia studies (6 papers), Adipose Tissue and Metabolism (6 papers), Diet and metabolism studies (5 papers), Erythrocyte Function and Pathophysiology (4 papers) and Natural Antidiabetic Agents Studies (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (426 citations), Biochemistry (150 citations), Molecular Biology (960 citations), Obstetrics and Gynecology (83 citations) and Complementary and alternative medicine (87 citations). Yao Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Dongmin Liu, Hana Alkhalidy, Jing Luo, William T. Moore, Ryan P. McMillan, Haoran Shen, Guoyin Kai, Fenfen Huang, Guiying Nie and Zhipeng Tao. Their work appears in journals such as PLoS ONE, Frontiers in Endocrinology, Scientific Reports, Frontiers in Public Health and The FASEB Journal.
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.