Xiaomu Wei
- Cell Biology top 0.2%
- Hippo pathway signaling and YAP/TAZ 4
- Molecular Biology top 2%
- Bioinformatics and Genomic Networks 9
- Melanoma and MAPK Pathways 6
- Wnt/β-catenin signaling in development and cancer 4
- Fungal and yeast genetics research 3
- Oncology top 5%
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 4
- Biochemistry top 5%
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- Computational Drug Discovery Methods 4
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- Genomics and Rare Diseases 3
- Co-authors
- Zhi-Chun LaiBin ZhaoPan ZhengJoungmok KimKun‐Liang GuanWeiquan LiRyan S. UdanTsuneo Ikenoue
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Xiaomu Wei
26 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Cell Biology 2.9k
- Molecular Biology 3.4k
- Oncology 819
- Cancer Research 389
- Biochemistry 166
Countries citing papers authored by Xiaomu Wei
This map shows the geographic impact of Xiaomu 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 Xiaomu Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaomu Wei more than expected).
Fields of papers citing papers by Xiaomu Wei
This network shows the impact of papers produced by Xiaomu 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 Xiaomu Wei. The network helps show where Xiaomu Wei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaomu 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 | 2021 | 3 | |
| 2 | 2019 | 45 | |
| 3 | 2018 | 100 | |
| 4 | 2017 | 1 | |
| 5 | 2016 | 74 | |
| 6 | 2014 | 37 | |
| 7 | 2013 | 36 | |
| 8 | A Spatio-Temporal Understanding of Growth Regulation during the Salt Stress Response in Arabidopsisbreakdown → | 2013 | 326 |
| 9 | 2012 | 8 | |
| 10 | 2012 | 25 | |
| 11 | 2012 | 289 | |
| 12 | 2011 | 31 | |
| 13 | 2011 | 115 | |
| 14 | 2011 | 347 | |
| 15 | 2010 | 41 | |
| 16 | 2009 | 45 | |
| 17 | 2009 | 115 | |
| 18 | 2007 | 176 | |
| 19 | Inactivation of YAP oncoprotein by the Hippo pathway is involved in cell contact inhibition and tissue growth controlbreakdown → | 2007 | 2424 |
| 20 | 2005 | 472 |
About Xiaomu Wei
Xiaomu Wei is a scholar working on Molecular Biology, Cancer Research, Immunology and Allergy, Cell Biology and Computational Theory and Mathematics, having authored 26 papers that have together received 5.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (9 papers), Melanoma and MAPK Pathways (6 papers), Computational Drug Discovery Methods (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Cancer Genomics and Diagnostics (4 papers), Genomics and Rare Diseases (3 papers) and Fungal and yeast genetics research (3 papers). The work is most often cited by research in Cell Biology (2.9k citations), Molecular Biology (3.4k citations), Oncology (819 citations), Cancer Research (389 citations) and Biochemistry (166 citations). Xiaomu Wei has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Zhi-Chun Lai, Bin Zhao, Pan Zheng, Joungmok Kim, Kun‐Liang Guan, Weiquan Li, Ryan S. Udan, Tsuneo Ikenoue, Li Li and Keqiang Ye. Their work appears in journals such as Nature Genetics, PLoS Genetics, Cell, Human Mutation and Nature Methods.
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.