Xiaowei Chen
- Cancer Research top 2%
- Cancer-related molecular mechanisms research 14
- Aging top 2%
- Cell Biology top 1%
- Cellular transport and secretion 15
- Endoplasmic Reticulum Stress and Disease 9
- Molecular Biology top 2%
- RNA modifications and cancer 14
- RNA Research and Splicing 13
- Biochemistry top 2%
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- Pancreatic function and diabetes 11
- Cholesterol and Lipid Metabolism 9
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- Adipose Tissue and Metabolism 9
- Co-authors
- Alan R. SaltielThomas LufkinManfred FraschDara E. LetoShian-Huey ChiangChu WangQian WangBen Margolis
- Cited by
- Cancer ResearchAgingCell Biology
- Journals
- Proceedings of the National Academy of Sciences (7 papers)Molecular Biology of the Cell (5 papers)PLoS ONE (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaowei Chen
155 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 169
- Cancer Research 1.0k
- Aging 112
- Cell Biology 911
- Molecular Biology 3.0k
- Biochemistry 176
Countries citing papers authored by Xiaowei Chen
This map shows the geographic impact of Xiaowei Chen'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 Xiaowei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowei Chen more than expected).
Fields of papers citing papers by Xiaowei Chen
This network shows the impact of papers produced by Xiaowei Chen. 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 Xiaowei Chen. The network helps show where Xiaowei Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaowei Chen, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 5 | |
| 11 | 2021 | 3 | |
| 12 | 2020 | 58 | |
| 13 | 2020 | 79 | |
| 14 | 2020 | 45 | |
| 15 | 2020 | 112 | |
| 16 | 2020 | 48 | |
| 17 | 2010 | 172 | |
| 18 | 2009 | 76 | |
| 19 | [Indigenous and imported low molecular weight heparin in the treatment of chronic hepatitis B and cirrhosis with hepatitis B virus: a prospective randomized controlled clinical study]. | 2007 | 8 |
| 20 | 2006 | 45 |
About Xiaowei Chen
Xiaowei Chen is a scholar working on Cancer Research, Aging, Cell Biology, Biochemistry and Molecular Biology, having authored 172 papers that have together received 5.1k indexed citations. Recurring topics across this work include Cellular transport and secretion (15 papers), RNA modifications and cancer (14 papers), Cancer-related molecular mechanisms research (14 papers), RNA Research and Splicing (13 papers), Pancreatic function and diabetes (11 papers), Endoplasmic Reticulum Stress and Disease (9 papers), Adipose Tissue and Metabolism (9 papers) and Cholesterol and Lipid Metabolism (9 papers). The work is most often cited by research in Cancer Research (1.0k citations), Aging (112 citations), Cell Biology (911 citations), Molecular Biology (3.0k citations) and Biochemistry (176 citations). Xiaowei Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Alan R. Saltiel, Thomas Lufkin, Manfred Frasch, Dara E. Leto, Shian-Huey Chiang, Chu Wang, Qian Wang, Ben Margolis, Mayumi Inoue and Frank J. Slack. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Biology of the Cell, PLoS ONE, Journal of Biological Chemistry and RNA.
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.