Xiaowen Chen
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Circular RNAs in diseases
- RNA modifications and cancer
- Bioinformatics and Genomic Networks
Papers in
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- Bioinformatics and Genomic Networks 7
- Epigenetics and DNA Methylation 6
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- Interconnection Networks and Systems 22
- Co-authors
- Feiqiu Wen (23 shared papers)Wei Jiang (14 shared papers)Fanlin Meng (6 shared papers)Shuyuan Wang (10 shared papers)Xia Li (8 shared papers)Zhonghai Lu (17 shared papers)Hailong Xia (3 shared papers)Axel Jantsch (14 shared papers)
- Journals
- Scientific Reports (7 papers)Frontiers in Oncology (3 papers)Blood (2 papers)Bioinformatics (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaSwedenUnited States
In The Last Decade
Xiaowen Chen
108 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 133
- Cancer Research 561
- Molecular Biology 1.0k
- Hardware and Architecture 95
- Pulmonary and Respiratory Medicine 192
- Immunology 107
Countries citing papers authored by Xiaowen Chen
This map shows the geographic impact of Xiaowen 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 Xiaowen Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowen Chen more than expected).
Fields of papers citing papers by Xiaowen Chen
This network shows the impact of papers produced by Xiaowen 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 Xiaowen Chen. The network helps show where Xiaowen Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaowen 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
Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 220 | |
| 2 | 2018 | 106 | |
| 3 | 2020 | 87 | |
| 4 | 2021 | 80 | |
| 5 | 2012 | 68 | |
| 6 | 2015 | 66 | |
| 7 | 2017 | 59 | |
| 8 | 2015 | 57 | |
| 9 | 2013 | 56 | |
| 10 | 2011 | 54 | |
| 11 | 2012 | 43 | |
| 12 | 2013 | 41 | |
| 13 | 2016 | 39 | |
| 14 | 2010 | 33 | |
| 15 | 2010 | 31 | |
| 16 | 2016 | 31 | |
| 17 | 2022 | 30 | |
| 18 | 2021 | 27 | |
| 19 | 2016 | 27 | |
| 20 | 2015 | 26 |
About Xiaowen Chen
Xiaowen Chen is a scholar working on Molecular Biology, Computer Networks and Communications, Hardware and Architecture, Cancer Research and Electrical and Electronic Engineering, having authored 112 papers that have together received 1.8k indexed citations. Recurring topics across this work include Interconnection Networks and Systems (22 papers), Parallel Computing and Optimization Techniques (18 papers), Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (10 papers), Advanced Memory and Neural Computing (9 papers), Bioinformatics and Genomic Networks (7 papers), Supercapacitor Materials and Fabrication (7 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Cancer Research (561 citations), Molecular Biology (1.0k citations), Hardware and Architecture (95 citations), Pulmonary and Respiratory Medicine (192 citations) and Immunology (107 citations). Xiaowen Chen has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Feiqiu Wen, Wei Jiang, Fanlin Meng, Shuyuan Wang, Xia Li, Zhonghai Lu, Hailong Xia, Axel Jantsch, Na Liu and Lianlian Ouyang. Their work appears in journals such as Scientific Reports, Frontiers in Oncology, Blood, Bioinformatics and Oncotarget.
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.