Shaoping Wang
Impact in
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- Traditional Chinese Medicine Analysis
- Nephrology top 10%
Papers in
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- Natural product bioactivities and synthesis 8
- Metabolomics and Mass Spectrometry Studies 6
- Kruppel-like factors research 3
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- Traditional Chinese Medicine Analysis 9
- Co-authors
- Long Dai (24 shared papers)Shengguang Wang (1 shared paper)Shiming Zhang (1 shared paper)Peng Fei Gao (1 shared paper)Jiayu Zhang (17 shared papers)Jinghua Liu (7 shared papers)Shujuan Cheng (5 shared papers)Fan Dong (10 shared papers)
- Journals
- Arabian Journal of Chemistry (7 papers)Current Drug Metabolism (5 papers)Molecules (5 papers)Frontiers in Pharmacology (3 papers)Biomedicine & Pharmacotherapy (2 papers)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Shaoping Wang
50 papers receiving 697 citations
Peers
Comparison fields: 5 of 93
- Complementary and alternative medicine 56
- Nephrology 43
- Biochemistry 38
- Pharmacology 48
- Molecular Biology 358
Countries citing papers authored by Shaoping Wang
This map shows the geographic impact of Shaoping 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 Shaoping Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoping Wang more than expected).
Fields of papers citing papers by Shaoping Wang
This network shows the impact of papers produced by Shaoping 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 Shaoping Wang. The network helps show where Shaoping Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaoping 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 145 | |
| 2 | 2022 | 66 | |
| 3 | 2014 | 45 | |
| 4 | 2018 | 42 | |
| 5 | 2021 | 39 | |
| 6 | 2021 | 26 | |
| 7 | 2020 | 21 | |
| 8 | 2021 | 21 | |
| 9 | 2017 | 20 | |
| 10 | 2022 | 18 | |
| 11 | 2022 | 18 | |
| 12 | 2019 | 16 | |
| 13 | 2021 | 16 | |
| 14 | 2020 | 14 | |
| 15 | 2018 | 14 | |
| 16 | 2020 | 12 | |
| 17 | 2021 | 10 | |
| 18 | 2023 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2021 | 9 |
About Shaoping Wang
Shaoping Wang is a scholar working on Molecular Biology, Complementary and alternative medicine, Analytical Chemistry, Plant Science and Pathology and Forensic Medicine, having authored 51 papers that have together received 704 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (9 papers), Natural product bioactivities and synthesis (8 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Chromatography in Natural Products (5 papers), Phytochemistry and Biological Activities (4 papers), Phytoestrogen effects and research (4 papers), Insect Utilization and Effects (3 papers) and Kruppel-like factors research (3 papers). The work is most often cited by research in Complementary and alternative medicine (56 citations), Nephrology (43 citations), Biochemistry (38 citations), Pharmacology (48 citations) and Molecular Biology (358 citations). Shaoping Wang has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Long Dai, Shengguang Wang, Shiming Zhang, Peng Fei Gao, Jiayu Zhang, Jinghua Liu, Shujuan Cheng, Fan Dong, Jiayu Zhang and Yuan Lv. Their work appears in journals such as Arabian Journal of Chemistry, Current Drug Metabolism, Molecules, Frontiers in Pharmacology and Biomedicine & Pharmacotherapy.
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.