Wei Chen
- Molecular Biology top 0.1%
- Machine Learning in Bioinformatics 120
- RNA and protein synthesis mechanisms 118
- Genomics and Phylogenetic Studies 115
- RNA modifications and cancer 45
- RNA Research and Splicing 20
- Microbiology top 0.5%
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research 28
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods 17
- Aging top 2%
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- Plant Molecular Biology Research 17
- Co-authors
- Hao LinKuo‐Chen ChouPengmian FengHui DingHua TangHui YangEn-Ze DengHao Lv
- Journals
- Bioinformatics (14 papers)Scientific Reports (13 papers)Molecular Therapy — Nucleic Acids (10 papers)
- Partner nations
- ChinaUnited StatesTürkiye
In The Last Decade
Wei Chen
449 papers receiving 18.2k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Molecular Biology 15.5k
- Microbiology 771
- Cancer Research 1.8k
- Computational Theory and Mathematics 1.3k
- Aging 98
Countries citing papers authored by Wei Chen
This map shows the geographic impact of Wei 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 Wei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Chen more than expected).
Fields of papers citing papers by Wei Chen
This network shows the impact of papers produced by Wei 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 Wei Chen. The network helps show where Wei Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wei 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 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 53 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 0 | |
| 10 | 2022 | 5 | |
| 11 | 2018 | 161 | |
| 12 | 2018 | 8 | |
| 13 | 2016 | 49 | |
| 14 | 2016 | 18 | |
| 15 | 2015 | 278 | |
| 16 | 2014 | 103 | |
| 17 | 2014 | 156 | |
| 18 | 2013 | 35 | |
| 19 | 2012 | 8 | |
| 20 | 2004 | 5 |
About Wei Chen
Wei Chen is a scholar working on Molecular Biology, Pharmacology, Microbiology, Cancer Research and Biotechnology, having authored 483 papers that have together received 18.4k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (120 papers), RNA and protein synthesis mechanisms (118 papers), Genomics and Phylogenetic Studies (115 papers), RNA modifications and cancer (45 papers), Cancer-related molecular mechanisms research (28 papers), RNA Research and Splicing (20 papers), Plant Molecular Biology Research (17 papers) and Computational Drug Discovery Methods (17 papers). The work is most often cited by research in Molecular Biology (15.5k citations), Microbiology (771 citations), Cancer Research (1.8k citations), Computational Theory and Mathematics (1.3k citations) and Aging (98 citations). Wei Chen has collaborated with scholars based in China, United States and Türkiye. Frequent co-authors include Hao Lin, Kuo‐Chen Chou, Pengmian Feng, Hui Ding, Hua Tang, Hui Yang, En-Ze Deng, Hao Lv, Peter D. Adams and Rugang Zhang. Their work appears in journals such as Bioinformatics, Scientific Reports, Molecular Therapy — Nucleic Acids, Briefings in Bioinformatics and Nucleic Acids Research.
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.