Meiting Chen
Impact in
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- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA modifications and cancer
- Mitochondrial Function and Pathology
- Extracellular vesicles in disease
Papers in
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- Lymphoma Diagnosis and Treatment 11
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- MicroRNA in disease regulation 3
- Breast Cancer Treatment Studies 3
- Co-authors
- Haifeng Mao (2 shared papers)Shao-Peng Lin (2 shared papers)Youming Long (2 shared papers)Ji-hang Yuan (1 shared paper)Fang Wang (1 shared paper)Mei Huang (1 shared paper)Qingsong Yang (1 shared paper)Shuhan Sun (1 shared paper)
- Journals
- BMC Cancer (5 papers)Annals of Hematology (3 papers)Frontiers in Oncology (2 papers)Cellular & Molecular Biology Letters (2 papers)Cancer Medicine (2 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Meiting Chen
74 papers receiving 936 citations
Peers
Comparison fields: 5 of 93
- Cancer Research 97
- Molecular Biology 325
- Oncology 96
- Hepatology 37
- Pathology and Forensic Medicine 59
Countries citing papers authored by Meiting Chen
This map shows the geographic impact of Meiting 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 Meiting Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meiting Chen more than expected).
Fields of papers citing papers by Meiting Chen
This network shows the impact of papers produced by Meiting 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 Meiting Chen. The network helps show where Meiting Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Meiting 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 139 | |
| 2 | 2022 | 97 | |
| 3 | 2022 | 76 | |
| 4 | 2017 | 41 | |
| 5 | 2023 | 35 | |
| 6 | 2024 | 35 | |
| 7 | 2017 | 34 | |
| 8 | 2021 | 29 | |
| 9 | 2024 | 29 | |
| 10 | 2021 | 28 | |
| 11 | 2023 | 28 | |
| 12 | 2019 | 23 | |
| 13 | 2016 | 17 | |
| 14 | 2021 | 16 | |
| 15 | 2021 | 15 | |
| 16 | 2024 | 15 | |
| 17 | 2023 | 14 | |
| 18 | 2020 | 13 | |
| 19 | 2021 | 12 | |
| 20 | 2021 | 12 |
About Meiting Chen
Meiting Chen is a scholar working on Pathology and Forensic Medicine, Cancer Research, Oncology, Animal Science and Zoology and Surgery, having authored 76 papers that have together received 948 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (11 papers), Animal Virus Infections Studies (5 papers), HER2/EGFR in Cancer Research (5 papers), Bladder and Urothelial Cancer Treatments (4 papers), Viral-associated cancers and disorders (3 papers), MicroRNA in disease regulation (3 papers), Extracellular vesicles in disease (3 papers) and Breast Cancer Treatment Studies (3 papers). The work is most often cited by research in Cancer Research (97 citations), Molecular Biology (325 citations), Oncology (96 citations), Hepatology (37 citations) and Pathology and Forensic Medicine (59 citations). Meiting Chen has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Haifeng Mao, Shao-Peng Lin, Youming Long, Ji-hang Yuan, Fang Wang, Mei Huang, Qingsong Yang, Shuhan Sun, Huilin Jiang and Cong Xue. Their work appears in journals such as BMC Cancer, Annals of Hematology, Frontiers in Oncology, Cellular & Molecular Biology Letters and Cancer Medicine.
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.