Mei Chen
Impact in
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- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
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- RNA modifications and cancer
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
- Renal and related cancers
Papers in
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- Epigenetics and DNA Methylation 4
- Cancer-related gene regulation 3
- RNA modifications and cancer 3
- Wnt/β-catenin signaling in development and cancer 2
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- Natural Language Processing Techniques 2
- Topic Modeling 2
- Co-authors
- Yuanhui Gao (9 shared papers)Zhenyu Nie (6 shared papers)Hui Cao (5 shared papers)Xiaohong Wen (4 shared papers)Peng‐Sheng Zheng (1 shared paper)Shufang Zhang (6 shared papers)Denggao Huang (5 shared papers)Hui Cao (2 shared papers)
- Journals
- PeerJ (2 papers)Remote Sensing (2 papers)Frontiers in Immunology (2 papers)Frontiers in Pharmacology (2 papers)Heliyon (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Mei Chen
23 papers receiving 343 citations
Peers
Comparison fields: 5 of 61
- Cancer Research 95
- Molecular Biology 220
- Pulmonary and Respiratory Medicine 68
- Oncology 32
- Organic Chemistry 37
Countries citing papers authored by Mei Chen
This map shows the geographic impact of Mei 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 Mei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Chen more than expected).
Fields of papers citing papers by Mei Chen
This network shows the impact of papers produced by Mei 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 Mei Chen. The network helps show where Mei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Mei 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 84 | |
| 2 | 2022 | 56 | |
| 3 | 2019 | 46 | |
| 4 | 2017 | 27 | |
| 5 | 2020 | 21 | |
| 6 | 2021 | 21 | |
| 7 | 2022 | 15 | |
| 8 | 2020 | 13 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2019 | 9 | |
| 13 | 2020 | 7 | |
| 14 | 2023 | 4 | |
| 15 | 2025 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2025 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2023 | 2 |
About Mei Chen
Mei Chen is a scholar working on Molecular Biology, Artificial Intelligence, Cancer Research, Pulmonary and Respiratory Medicine and Atmospheric Science, having authored 24 papers that have together received 349 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Cancer-related gene regulation (3 papers), RNA modifications and cancer (3 papers), Ferroptosis and cancer prognosis (2 papers), Climate variability and models (2 papers), Natural Language Processing Techniques (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Cancer Research (95 citations), Molecular Biology (220 citations), Pulmonary and Respiratory Medicine (68 citations), Oncology (32 citations) and Organic Chemistry (37 citations). Mei Chen has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yuanhui Gao, Zhenyu Nie, Hui Cao, Xiaohong Wen, Peng‐Sheng Zheng, Shufang Zhang, Denggao Huang, Hui Cao, Yanling Peng and Fei Wang. Their work appears in journals such as PeerJ, Remote Sensing, Frontiers in Immunology, Frontiers in Pharmacology and Heliyon.
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.