Huiping Wei
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
Papers in
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- Circular RNAs in diseases 3
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- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 4
- Co-authors
- Xiaoqing Song (8 shared papers)Chenqing Zheng (3 shared papers)Zhi-qing Zhang (1 shared paper)Sufen Chen (1 shared paper)Haifeng Yin (5 shared papers)Chunjie Wang (1 shared paper)Wei Zhou (1 shared paper)Yun Fu (1 shared paper)
In The Last Decade
Huiping Wei
21 papers receiving 361 citations
Peers
Comparison fields: 5 of 91
- Cancer Research 136
- Neurology 32
- Molecular Biology 212
- Developmental Neuroscience 9
- Physiology 54
Countries citing papers authored by Huiping Wei
This map shows the geographic impact of Huiping 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 Huiping Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huiping Wei more than expected).
Fields of papers citing papers by Huiping Wei
This network shows the impact of papers produced by Huiping 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 Huiping Wei. The network helps show where Huiping Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Huiping 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 82 | |
| 2 | 2022 | 56 | |
| 3 | 2019 | 45 | |
| 4 | 2018 | 39 | |
| 5 | 2018 | 30 | |
| 6 | 2016 | 21 | |
| 7 | 2019 | 19 | |
| 8 | 2023 | 13 | |
| 9 | 2019 | 12 | |
| 10 | 2022 | 8 | |
| 11 | 2018 | 7 | |
| 12 | 2022 | 7 | |
| 13 | [Investigations on cordycepin production by solid culture of Cordyceps militaris]. | 2008 | 6 |
| 14 | 2022 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2017 | 3 | |
| 17 | 2017 | 3 | |
| 18 | 2017 | 3 | |
| 19 | [Effect of GABA(B) Receptor Signal to Corticosterone-induced Neuron Apoptosis]. | 2015 | 2 |
| 20 | [The distribution of caspase-3 positive apoptotic cells in 18 months old SD rat's brainstem compared with that in 3 months rat]. | 2014 | 1 |
About Huiping Wei
Huiping Wei is a scholar working on Molecular Biology, Cancer Research, Genetics, Cellular and Molecular Neuroscience and Linguistics and Language, having authored 24 papers that have together received 366 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), Mesenchymal stem cell research (3 papers), Circular RNAs in diseases (3 papers), Inorganic Chemistry and Materials (2 papers), Advanced Battery Materials and Technologies (2 papers), Sunflower and Safflower Cultivation (2 papers) and Multilingual Education and Policy (2 papers). The work is most often cited by research in Cancer Research (136 citations), Neurology (32 citations), Molecular Biology (212 citations), Developmental Neuroscience (9 citations) and Physiology (54 citations). Huiping Wei has collaborated with scholars based in China, Macao and Australia. Frequent co-authors include Xiaoqing Song, Chenqing Zheng, Zhi-qing Zhang, Sufen Chen, Haifeng Yin, Chunjie Wang, Wei Zhou, Yun Fu, Chunjie Yang and Changzheng Li. Their work appears in journals such as Journal of Zhejiang University SCIENCE B, Journal of Integrative Neuroscience, Science China Technological Sciences, Medicine and Frontiers in Neuroscience.
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.