Wei-Che Wu
Impact in
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- Cancer-related molecular mechanisms research
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- RNA modifications and cancer
- Cancer-related gene regulation
- Metabolism, Diabetes, and Cancer
- Gut microbiota and health
- RNA Research and Splicing
Papers in
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- Metabolism, Diabetes, and Cancer 10
- Peroxisome Proliferator-Activated Receptors 5
- RNA modifications and cancer 4
- Muscle Physiology and Disorders 3
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- Adipose Tissue and Metabolism 6
- Co-authors
- Yizhen Wang (15 shared papers)Tizhong Shan (11 shared papers)Xinxia Wang (9 shared papers)Xihong Zhou (5 shared papers)Sisi Wang (4 shared papers)Ziye Xu (7 shared papers)Jie Feng (4 shared papers)Jiaqi Liu (4 shared papers)
In The Last Decade
Wei-Che Wu
23 papers receiving 679 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 142
- Molecular Biology 415
- Physiology 138
- Immunology 79
- Energy Engineering and Power Technology 11
Countries citing papers authored by Wei-Che Wu
This map shows the geographic impact of Wei-Che Wu'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 Wei-Che Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei-Che Wu more than expected).
Fields of papers citing papers by Wei-Che Wu
This network shows the impact of papers produced by Wei-Che Wu. 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 Wei-Che Wu. The network helps show where Wei-Che Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei-Che Wu, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 93 | |
| 2 | 2021 | 84 | |
| 3 | 2018 | 79 | |
| 4 | 2015 | 73 | |
| 5 | 2015 | 54 | |
| 6 | 2016 | 48 | |
| 7 | 2018 | 43 | |
| 8 | 2020 | 43 | |
| 9 | 2017 | 29 | |
| 10 | 2015 | 23 | |
| 11 | 2018 | 20 | |
| 12 | 2016 | 18 | |
| 13 | 2017 | 14 | |
| 14 | 2017 | 13 | |
| 15 | 2014 | 13 | |
| 16 | 2016 | 12 | |
| 17 | 2021 | 9 | |
| 18 | Different cuticular chemical profiles between the monogynous and polygynous forms of the red imported fire ant, Solenopsis invicta (Hymenoptera: Formicidae) in Taiwan. | 2010 | 5 |
| 19 | 2016 | 3 | |
| 20 | 2015 | 2 |
About Wei-Che Wu
Wei-Che Wu is a scholar working on Molecular Biology, Physiology, Surgery, Epidemiology and Cancer Research, having authored 23 papers that have together received 682 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (10 papers), Adipose Tissue and Metabolism (6 papers), Peroxisome Proliferator-Activated Receptors (5 papers), RNA modifications and cancer (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Bladder and Urothelial Cancer Treatments (3 papers), Muscle Physiology and Disorders (3 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Cancer Research (142 citations), Molecular Biology (415 citations), Physiology (138 citations), Immunology (79 citations) and Energy Engineering and Power Technology (11 citations). Wei-Che Wu has collaborated with scholars based in China, Taiwan and Norway. Frequent co-authors include Yizhen Wang, Tizhong Shan, Xinxia Wang, Xihong Zhou, Sisi Wang, Ziye Xu, Jie Feng, Jiaqi Liu, Qing Liu and Min Cai. Their work appears in journals such as Journal of Cellular Physiology, Journal of Physiology and Biochemistry, Scientific Reports, Nutrition & Metabolism and Molecular Pharmaceutics.
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.