Yanping Wei
Impact in
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
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- Brucella: diagnosis, epidemiology, treatment
Papers in
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- Metabolism and Genetic Disorders 6
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- Folate and B Vitamins Research 4
- Co-authors
- Cui Liying (4 shared papers)Min Qian (4 shared papers)Bin Peng (3 shared papers)Chenhui Mao (2 shared papers)Liying Cui (2 shared papers)Ying Chun Ge (1 shared paper)Haitao Ren (1 shared paper)Li Wang (1 shared paper)
- Journals
- Neurological Sciences (5 papers)Biomedicine & Pharmacotherapy (2 papers)Frontiers in Neurology (2 papers)Journal of Neurology (2 papers)Cellular and Molecular Immunology (1 paper)
- Partner nations
- ChinaUnited StatesPhilippines
In The Last Decade
Yanping Wei
22 papers receiving 332 citations
Peers
Comparison fields: 5 of 74
- Clinical Biochemistry 55
- Small Animals 20
- Neurology 38
- Rheumatology 35
- Complementary and alternative medicine 17
Countries citing papers authored by Yanping Wei
This map shows the geographic impact of Yanping Wei'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 Yanping Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanping Wei more than expected).
Fields of papers citing papers by Yanping Wei
This network shows the impact of papers produced by Yanping Wei. 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 Yanping Wei. The network helps show where Yanping Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanping Wei, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 70 | |
| 2 | 2023 | 64 | |
| 3 | 2018 | 31 | |
| 4 | 2019 | 19 | |
| 5 | 2021 | 18 | |
| 6 | 2020 | 18 | |
| 7 | 2021 | 15 | |
| 8 | 2023 | 15 | |
| 9 | Epidemiologic Association of Nonalcoholic Fatty Liver Disease and Urinary Calculi: a Population-based Cross-sectional Study in Southern China. | 2018 | 15 |
| 10 | 2014 | 13 | |
| 11 | 2024 | 10 | |
| 12 | 2020 | 9 | |
| 13 | 2023 | 9 | |
| 14 | 2019 | 8 | |
| 15 | 2018 | 7 | |
| 16 | 2020 | 5 | |
| 17 | 2018 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2020 | 2 | |
| 20 | 2025 | 1 |
About Yanping Wei
Yanping Wei is a scholar working on Clinical Biochemistry, Rheumatology, Neurology, Biological Psychiatry and Molecular Biology, having authored 22 papers that have together received 337 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (7 papers), Metabolism and Genetic Disorders (6 papers), ATP Synthase and ATPases Research (4 papers), Folate and B Vitamins Research (4 papers), Tryptophan and brain disorders (2 papers), RNA modifications and cancer (2 papers), Porphyrin Metabolism and Disorders (2 papers) and Intracerebral and Subarachnoid Hemorrhage Research (1 paper). The work is most often cited by research in Clinical Biochemistry (55 citations), Small Animals (20 citations), Neurology (38 citations), Rheumatology (35 citations) and Complementary and alternative medicine (17 citations). Yanping Wei has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Cui Liying, Min Qian, Bin Peng, Chenhui Mao, Liying Cui, Ying Chun Ge, Haitao Ren, Li Wang, Siyuan Fan and Taisheng Li. Their work appears in journals such as Neurological Sciences, Biomedicine & Pharmacotherapy, Frontiers in Neurology, Journal of Neurology and Cellular and Molecular Immunology.
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.