Chun‐Wei Chen
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Materials Chemistry top 2%
- Carbon and Quantum Dots Applications
- Graphene research and applications
- Nanocluster Synthesis and Applications
Papers in
- Hematology 19
- Acute Myeloid Leukemia Research 18
-
- Protein Degradation and Inhibitors 17
- Epigenetics and DNA Methylation 11
- Genomics and Chromatin Dynamics 8
- Histone Deacetylase Inhibitors Research 7
- Cancer-related gene regulation 7
- RNA modifications and cancer 6
- Co-authors
- Hsin‐An ChenGoki EdaManish ChhowallaHisato YamaguchiCecilia MatteviYin‐Chou LinScott A. ArmstrongRichard P. Koche
- Journals
- Blood (13 papers)Nature Communications (2 papers)Cancers (2 papers)Molecular Cell (2 papers)Vaccines (2 papers)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Chun‐Wei Chen
84 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Hematology 561
- Materials Chemistry 2.0k
- Electronic, Optical and Magnetic Materials 419
- Molecular Biology 1.6k
- Biomedical Engineering 867
Countries citing papers authored by Chun‐Wei Chen
This map shows the geographic impact of Chun‐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 Chun‐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 Chun‐Wei Chen more than expected).
Fields of papers citing papers by Chun‐Wei Chen
This network shows the impact of papers produced by Chun‐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 Chun‐Wei Chen. The network helps show where Chun‐Wei Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chun‐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 | 4 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 12 | |
| 9 | 2021 | 4 | |
| 10 | 2018 | 84 | |
| 11 | 2017 | 35 | |
| 12 | 2017 | 149 | |
| 13 | 2016 | 166 | |
| 14 | 2016 | 118 | |
| 15 | 2015 | 40 | |
| 16 | 2015 | 155 | |
| 17 | 2014 | 132 | |
| 18 | 2014 | 7 | |
| 19 | 2009 | 1 | |
| 20 | 2004 | 87 |
About Chun‐Wei Chen
Chun‐Wei Chen is a scholar working on Hematology, Molecular Biology, Virology, Immunology and Genetics, having authored 87 papers that have together received 4.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (18 papers), Protein Degradation and Inhibitors (17 papers), Epigenetics and DNA Methylation (11 papers), Genomics and Chromatin Dynamics (8 papers), Histone Deacetylase Inhibitors Research (7 papers), Cancer-related gene regulation (7 papers), Graphene research and applications (7 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Hematology (561 citations), Materials Chemistry (2.0k citations), Electronic, Optical and Magnetic Materials (419 citations), Molecular Biology (1.6k citations) and Biomedical Engineering (867 citations). Chun‐Wei Chen has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Hsin‐An Chen, Goki Eda, Manish Chhowalla, Hisato Yamaguchi, Cecilia Mattevi, Yin‐Chou Lin, Scott A. Armstrong, Richard P. Koche, Mitsuru Akashi and Takeshi Serizawa. Their work appears in journals such as Blood, Nature Communications, Cancers, Molecular Cell and Vaccines.
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.