Wenzhen Wei
Impact in
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- Cancer-related molecular mechanisms research
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- Protein Kinase Regulation and GTPase Signaling
- RNA modifications and cancer
- RNA Research and Splicing
- Cancer-related gene regulation
- PI3K/AKT/mTOR signaling in cancer
Papers in
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- RNA modifications and cancer 3
- Metabolism, Diabetes, and Cancer 2
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- Cancer-related molecular mechanisms research 6
- Cancer, Hypoxia, and Metabolism 2
- MicroRNA in disease regulation 1
- Co-authors
- Yunyun Cheng (13 shared papers)Linlin Hao (12 shared papers)Channing J. Der (1 shared paper)Shayne Y. Huff (1 shared paper)Daniel Broek (1 shared paper)Lawrence A. Quilliam (1 shared paper)Shan Huang (5 shared papers)Zheng Wu (1 shared paper)
In The Last Decade
Wenzhen Wei
19 papers receiving 302 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 49
- Molecular Biology 201
- Microbiology 16
- Cell Biology 34
- Immunology and Allergy 9
Countries citing papers authored by Wenzhen Wei
This map shows the geographic impact of Wenzhen 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 Wenzhen Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenzhen Wei more than expected).
Fields of papers citing papers by Wenzhen Wei
This network shows the impact of papers produced by Wenzhen 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 Wenzhen Wei. The network helps show where Wenzhen Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Wenzhen 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
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 106 | |
| 2 | 2019 | 49 | |
| 3 | 2018 | 33 | |
| 4 | 2017 | 20 | |
| 5 | 2022 | 19 | |
| 6 | 2018 | 16 | |
| 7 | 2018 | 11 | |
| 8 | 2018 | 8 | |
| 9 | 2017 | 8 | |
| 10 | 2019 | 8 | |
| 11 | 2020 | 8 | |
| 12 | 2019 | 5 | |
| 13 | 2019 | 5 | |
| 14 | 2000 | 4 | |
| 15 | 2018 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2018 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2016 | 1 | |
| 20 | 2019 | 0 |
About Wenzhen Wei
Wenzhen Wei is a scholar working on Molecular Biology, Cancer Research, Endocrinology, Diabetes and Metabolism, Genetics and Rheumatology, having authored 20 papers that have together received 308 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), RNA modifications and cancer (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Genetic and phenotypic traits in livestock (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), MicroRNA in disease regulation (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Cancer Research (49 citations), Molecular Biology (201 citations), Microbiology (16 citations), Cell Biology (34 citations) and Immunology and Allergy (9 citations). Wenzhen Wei has collaborated with scholars based in China, Australia and India. Frequent co-authors include Yunyun Cheng, Linlin Hao, Channing J. Der, Shayne Y. Huff, Daniel Broek, Lawrence A. Quilliam, Shan Huang, Zheng Wu, Songcai Liu and Dong Jiang. Their work appears in journals such as Gene, Immunology, International Journal of Biological Macromolecules, In Vitro Cellular & Developmental Biology - Animal and RSC Advances.
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.