Yangang Wang
Impact in
- Nephrology top 1%
- Gout, Hyperuricemia, Uric Acid
-
- Thyroid Cancer Diagnosis and Treatment
Papers in
- Nephrology 31
- Gout, Hyperuricemia, Uric Acid 20
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- Diabetes Treatment and Management 13
- Thyroid Cancer Diagnosis and Treatment 12
- Diabetes Management and Research 8
Yangang Wang
129 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Nephrology 607
- Endocrinology, Diabetes and Metabolism 1.2k
- Genetics 272
- Infectious Diseases 397
- Cancer Research 284
Countries citing papers authored by Yangang Wang
This map shows the geographic impact of Yangang 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 Yangang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yangang Wang more than expected).
Fields of papers citing papers by Yangang Wang
This network shows the impact of papers produced by Yangang 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 Yangang Wang. The network helps show where Yangang Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yangang 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 20 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 15 | |
| 10 | 2023 | 2 | |
| 11 | 2022 | 8 | |
| 12 | 2021 | 37 | |
| 13 | 2020 | 14 | |
| 14 | 2020 | 18 | |
| 15 | 2020 | 7 | |
| 16 | Obesity and diabetes as high‐risk factors for severe coronavirus disease 2019 ( Hit paper breakdown → | 2020 | 329 |
| 17 | 2019 | 55 | |
| 18 | 2014 | 93 | |
| 19 | Dietary and lifestyle changes associated with high prevalence of hyperuricemia and gout in the Shandong coastal cities of Eastern China. | 2008 | 208 |
| 20 | [Pioglitazone hydrochloride monotherapy or in combination with sulfonylurea therapy improves glycemia control in patients with type 2 diabetes]. | 2003 | 1 |
About Yangang Wang
Yangang Wang is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Cancer Research, Endocrine and Autonomic Systems and Molecular Biology, having authored 138 papers that have together received 3.7k indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (20 papers), Metabolism, Diabetes, and Cancer (15 papers), Pancreatic function and diabetes (14 papers), Diabetes Treatment and Management (13 papers), Thyroid Cancer Diagnosis and Treatment (12 papers), Diabetes and associated disorders (10 papers), Liver Disease Diagnosis and Treatment (9 papers) and Diabetes Management and Research (8 papers). The work is most often cited by research in Nephrology (607 citations), Endocrinology, Diabetes and Metabolism (1.2k citations), Genetics (272 citations), Infectious Diseases (397 citations) and Cancer Research (284 citations). Yangang Wang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Yue Zhou, Jingwei Chi, Wenshan Lv, Shengli Yan, Jianxia Hu, Shihua Zhao, Bingzi Dong, Mingzhao Xing, Wenjuan Zhao and Zhaohai Jing. Their work appears in journals such as Frontiers in Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Molecular Neurobiology, Diabetes/Metabolism Research and Reviews and Tumor Biology.
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.