Yeye Chen
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
- Neurology 19
- Myasthenia Gravis and Thymoma 15
-
- Lung Cancer Diagnosis and Treatment 9
- Lung Cancer Treatments and Mutations 7
- Co-authors
- Xiaoyun Zhou (16 shared papers)Yingzhi Qin (12 shared papers)Shanqing Li (23 shared papers)Cheng Huang (25 shared papers)Hongsheng Liu (7 shared papers)Zhijun Han (7 shared papers)Dongjie Ma (12 shared papers)Jia He (6 shared papers)
- Journals
- Orphanet Journal of Rare Diseases (2 papers)OncoTargets and Therapy (2 papers)BMC Surgery (2 papers)World Journal of Surgical Oncology (2 papers)Cancer Management and Research (2 papers)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Yeye Chen
44 papers receiving 406 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 173
- Microbiology 4
- Molecular Biology 213
- Neurology 45
- Oncology 72
Countries citing papers authored by Yeye Chen
This map shows the geographic impact of Yeye 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 Yeye Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeye Chen more than expected).
Fields of papers citing papers by Yeye Chen
This network shows the impact of papers produced by Yeye 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 Yeye Chen. The network helps show where Yeye Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yeye 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 48 | |
| 2 | 2017 | 35 | |
| 3 | 2008 | 31 | |
| 4 | 2014 | 29 | |
| 5 | 2018 | 27 | |
| 6 | 2020 | 25 | |
| 7 | 2020 | 23 | |
| 8 | 2020 | 23 | |
| 9 | Circ_0007142/miR-186/FOXK1 axis promoted lung adenocarcinoma progression. | 2020 | 20 |
| 10 | 2017 | 18 | |
| 11 | 2020 | 17 | |
| 12 | 2021 | 12 | |
| 13 | 2016 | 11 | |
| 14 | Serum miR-342-3p is a novel diagnostic and prognostic biomarker for non-small cell lung cancer. | 2018 | 11 |
| 15 | 2022 | 9 | |
| 16 | 2021 | 8 | |
| 17 | 2022 | 6 | |
| 18 | 2008 | 6 | |
| 19 | 2025 | 5 | |
| 20 | 2021 | 5 |
About Yeye Chen
Yeye Chen is a scholar working on Neurology, Pulmonary and Respiratory Medicine, Epidemiology, Oncology and Molecular Biology, having authored 53 papers that have together received 414 indexed citations. Recurring topics across this work include Myasthenia Gravis and Thymoma (15 papers), Neuroendocrine Tumor Research Advances (11 papers), Lung Cancer Diagnosis and Treatment (9 papers), Cancer-related molecular mechanisms research (8 papers), Pituitary Gland Disorders and Treatments (7 papers), Lung Cancer Research Studies (7 papers), Lung Cancer Treatments and Mutations (7 papers) and Circular RNAs in diseases (5 papers). The work is most often cited by research in Cancer Research (173 citations), Microbiology (4 citations), Molecular Biology (213 citations), Neurology (45 citations) and Oncology (72 citations). Yeye Chen has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Xiaoyun Zhou, Yingzhi Qin, Shanqing Li, Cheng Huang, Hongsheng Liu, Zhijun Han, Dongjie Ma, Jia He, Hongsheng Liu and Jiaqi Zhang. Their work appears in journals such as Orphanet Journal of Rare Diseases, OncoTargets and Therapy, BMC Surgery, World Journal of Surgical Oncology and Cancer Management and 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.