Xiaomu Wei
Impact in
- Cell Biology top 1%
- Hippo pathway signaling and YAP/TAZ
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
-
- Cancer Genomics and Diagnostics 5
- Protease and Inhibitor Mechanisms 3
-
- Multiple Myeloma Research and Treatments 5
- Co-authors
- Zhi-Chun Lai (3 shared papers)Takeshi Shimizu (3 shared papers)Haiyuan Yu (9 shared papers)Steven A. Rosenberg (9 shared papers)Yardena Samuels (9 shared papers)Jimmy Lin (8 shared papers)Todd D. Prickett (6 shared papers)Jishnu Das (7 shared papers)
- Journals
- Nature Genetics (4 papers)PLoS Genetics (3 papers)Human Mutation (2 papers)Cell (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Xiaomu Wei
30 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 88
- Cell Biology 682
- Cancer Research 468
- Molecular Biology 1.4k
- Oncology 377
- Genetics 437
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-authors
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
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 473 | |
| 2 | 2011 | 401 | |
| 3 | 2012 | 312 | |
| 4 | 2013 | 288 | |
| 5 | 2009 | 276 | |
| 6 | 2007 | 173 | |
| 7 | 2013 | 144 | |
| 8 | 2009 | 130 | |
| 9 | 2009 | 123 | |
| 10 | 2011 | 123 | |
| 11 | 2018 | 115 | |
| 12 | 2016 | 85 | |
| 13 | 1998 | 83 | |
| 14 | 2018 | 74 | |
| 15 | 2019 | 52 | |
| 16 | 2010 | 46 | |
| 17 | 2009 | 45 | |
| 18 | 2014 | 38 | |
| 19 | 2013 | 37 | |
| 20 | 2019 | 37 |
About Xiaomu Wei
Xiaomu Wei is a scholar working on Cancer Research, Hematology, Genetics, Molecular Biology and Cell Biology, having authored 31 papers that have together received 3.3k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (7 papers), Bioinformatics and Genomic Networks (7 papers), Multiple Myeloma Research and Treatments (5 papers), Cancer Genomics and Diagnostics (5 papers), Melanoma and MAPK Pathways (5 papers), Protease and Inhibitor Mechanisms (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers) and Cutaneous Melanoma Detection and Management (2 papers). The work is most often cited by research in Cell Biology (682 citations), Cancer Research (468 citations), Molecular Biology (1.4k citations), Oncology (377 citations) and Genetics (437 citations). Xiaomu Wei has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Zhi-Chun Lai, Takeshi Shimizu, Haiyuan Yu, Steven A. Rosenberg, Yardena Samuels, Jimmy Lin, Todd D. Prickett, Jishnu Das, Li‐Lun Ho and Steven M. Lipkin. Their work appears in journals such as Nature Genetics, PLoS Genetics, Human Mutation, Cell and Proceedings of the National Academy of Sciences.
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.