Meijun Chen
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 1%
- RNA modifications and cancer
- Single-cell and spatial transcriptomics
- Epigenetics and DNA Methylation
- RNA Research and Splicing
Papers in
-
- Analytical Chemistry and Sensors 4
Meijun Chen
109 papers receiving 9.4k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Cancer Research 1.5k
- Molecular Biology 4.9k
- Immunology 1.4k
- Aging 85
- Oncology 1.0k
Countries citing papers authored by Meijun Chen
This map shows the geographic impact of Meijun 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 Meijun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meijun Chen more than expected).
Fields of papers citing papers by Meijun Chen
This network shows the impact of papers produced by Meijun 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 Meijun Chen. The network helps show where Meijun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Meijun 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 | 2 | |
| 3 | Fully Polymeric Conductive Hydrogels with Low Hysteresis and High Toughness as Multi‐Responsive and Self‐Powered Wearable Sensors Hit paper breakdown → | 2024 | 92 |
| 4 | 2024 | 4 | |
| 5 | 2024 | 17 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 14 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 37 | |
| 11 | 2023 | 33 | |
| 12 | 2022 | 11 | |
| 13 | ggtreeExtra: Compact Visualization of Richly Annotated Phylogenetic Data Hit paper breakdown → | 2021 | 177 |
| 14 | 2021 | 45 | |
| 15 | clusterProfiler 4.0: A universal enrichment tool for interpreting omics data Hit paper breakdown → | 2021 | 7083 |
| 16 | 2021 | 7 | |
| 17 | 2017 | 26 | |
| 18 | 2016 | 1 | |
| 19 | 2016 | 85 | |
| 20 | [Mixture effects to vitellogenin induction by four environmental estrogens in freshwater fish]. | 2008 | 2 |
About Meijun Chen
Meijun Chen is a scholar working on Molecular Medicine, Bioengineering, Modeling and Simulation, Microbiology and Molecular Biology, having authored 119 papers that have together received 9.5k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (7 papers), Radical Photochemical Reactions (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), RNA modifications and cancer (5 papers), Catalytic C–H Functionalization Methods (4 papers), Smoking Behavior and Cessation (4 papers), Syphilis Diagnosis and Treatment (4 papers) and Analytical Chemistry and Sensors (4 papers). The work is most often cited by research in Cancer Research (1.5k citations), Molecular Biology (4.9k citations), Immunology (1.4k citations), Aging (85 citations) and Oncology (1.0k citations). Meijun Chen has collaborated with scholars based in China, Hong Kong and Taiwan. Frequent co-authors include Li Zhan, Guangchuang Yu, Shuangbin Xu, Lang Zhou, Tingze Feng, Zehan Dai, Wenli Tang, Tianzhi Wu, Erqiang Hu and Xiaochen Bo. Their work appears in journals such as Scientific Reports, Journal of Agricultural and Food Chemistry, The Innovation, Advanced Functional Materials and Materials Science and Engineering C.
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.