Yaomin Wang
Impact in
- Pathology and Forensic Medicine top 10%
- Tea Polyphenols and Effects
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
Papers in
- Nephrology 11
- Renal Diseases and Glomerulopathies 5
- Parathyroid Disorders and Treatments 2
- Co-authors
- Yuqiong Chen (3 shared papers)Zhi Yu (2 shared papers)Shuai Hu (2 shared papers)Yu‐Chuan Li (2 shared papers)Chang He (2 shared papers)Youying Tu (5 shared papers)Dejiang Ni (2 shared papers)Yi Chen (4 shared papers)
- Journals
- Journal of Pain (2 papers)BMC Nephrology (2 papers)Pain (2 papers)Lupus Science & Medicine (2 papers)Molecules (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Yaomin Wang
46 papers receiving 559 citations
Peers
Comparison fields: 5 of 97
- Pathology and Forensic Medicine 154
- Biochemistry 50
- Nephrology 50
- Biological Psychiatry 13
- Food Science 91
Countries citing papers authored by Yaomin Wang
This map shows the geographic impact of Yaomin 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 Yaomin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaomin Wang more than expected).
Fields of papers citing papers by Yaomin Wang
This network shows the impact of papers produced by Yaomin 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 Yaomin Wang. The network helps show where Yaomin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaomin 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 78 | |
| 2 | 2013 | 52 | |
| 3 | 2021 | 43 | |
| 4 | 2017 | 34 | |
| 5 | 2021 | 33 | |
| 6 | 2020 | 24 | |
| 7 | 2017 | 21 | |
| 8 | 2017 | 21 | |
| 9 | 2021 | 20 | |
| 10 | 2019 | 20 | |
| 11 | 2021 | 18 | |
| 12 | 2019 | 18 | |
| 13 | 2016 | 17 | |
| 14 | 2024 | 15 | |
| 15 | 2020 | 13 | |
| 16 | 2023 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 2021 | 8 | |
| 20 | 2023 | 8 |
About Yaomin Wang
Yaomin Wang is a scholar working on Nephrology, Molecular Biology, Physiology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 50 papers that have together received 565 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (5 papers), Renal Diseases and Glomerulopathies (5 papers), Tea Polyphenols and Effects (5 papers), Vasculitis and related conditions (4 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers), Tannin, Tannase and Anticancer Activities (3 papers), Systemic Lupus Erythematosus Research (3 papers) and Parathyroid Disorders and Treatments (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (154 citations), Biochemistry (50 citations), Nephrology (50 citations), Biological Psychiatry (13 citations) and Food Science (91 citations). Yaomin Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Yuqiong Chen, Zhi Yu, Shuai Hu, Yu‐Chuan Li, Chang He, Youying Tu, Dejiang Ni, Yi Chen, Yon Rojanasakul and Gary O. Rankin. Their work appears in journals such as Journal of Pain, BMC Nephrology, Pain, Lupus Science & Medicine and Molecules.
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.