Shuo Wei
Impact in
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms
- Cancer, Lipids, and Metabolism
- Oncology top 5%
- Peptidase Inhibition and Analysis
- Cancer-related Molecular Pathways
Papers in
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- Signaling Pathways in Disease 14
- Ubiquitin and proteasome pathways 8
- Peroxisome Proliferator-Activated Receptors 7
- Cancer-related gene regulation 6
- Genomics and Chromatin Dynamics 5
- RNA Research and Splicing 4
-
- Protease and Inhibitor Mechanisms 12
- Co-authors
- Keith Brew (9 shared papers)Samuel K. Kulp (7 shared papers)Ching‐Shih Chen (4 shared papers)Jian Yang (3 shared papers)Ching-Shih Chen (5 shared papers)Xiao Zhen Zhou (5 shared papers)Kun Ping Lu (5 shared papers)Harinath Bahudhanapati (6 shared papers)
- Journals
- Journal of Biological Chemistry (8 papers)Carcinogenesis (3 papers)Animals (3 papers)Cancer Research (3 papers)Scientific Reports (3 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Shuo Wei
74 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 130
- Cancer Research 472
- Oncology 471
- Molecular Biology 1.2k
- Cell Biology 156
- Immunology 192
Countries citing papers authored by Shuo Wei
This map shows the geographic impact of Shuo 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 Shuo Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuo Wei more than expected).
Fields of papers citing papers by Shuo Wei
This network shows the impact of papers produced by Shuo 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 Shuo Wei. The network helps show where Shuo Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuo 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 132 | |
| 2 | 2008 | 99 | |
| 3 | 2023 | 89 | |
| 4 | 2015 | 78 | |
| 5 | 2013 | 76 | |
| 6 | 2018 | 70 | |
| 7 | 2008 | 69 | |
| 8 | 2010 | 65 | |
| 9 | 2006 | 60 | |
| 10 | 2006 | 59 | |
| 11 | 2007 | 58 | |
| 12 | 2003 | 55 | |
| 13 | 2009 | 55 | |
| 14 | 2003 | 53 | |
| 15 | 2005 | 52 | |
| 16 | 2010 | 49 | |
| 17 | 2007 | 46 | |
| 18 | 2020 | 42 | |
| 19 | 2007 | 41 | |
| 20 | 2009 | 41 |
About Shuo Wei
Shuo Wei is a scholar working on Molecular Biology, Cancer Research, Oncology, Cellular and Molecular Neuroscience and Immunology, having authored 74 papers that have together received 2.0k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (14 papers), Protease and Inhibitor Mechanisms (12 papers), Peptidase Inhibition and Analysis (10 papers), Ubiquitin and proteasome pathways (8 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Cancer-related gene regulation (6 papers), Genomics and Chromatin Dynamics (5 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Cancer Research (472 citations), Oncology (471 citations), Molecular Biology (1.2k citations), Cell Biology (156 citations) and Immunology (192 citations). Shuo Wei has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Keith Brew, Samuel K. Kulp, Ching‐Shih Chen, Jian Yang, Ching-Shih Chen, Xiao Zhen Zhou, Kun Ping Lu, Harinath Bahudhanapati, K. Ravi Acharya and Chun-Hau Chen. Their work appears in journals such as Journal of Biological Chemistry, Carcinogenesis, Animals, Cancer Research and Scientific Reports.
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.