Linyan Chen
Impact in
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
Papers in ⓘ
- Oncology 13
- Inflammatory Biomarkers in Disease Prognosis 5
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- Radiomics and Machine Learning in Medical Imaging 11
- Co-authors
- Xuelei Ma (27 shared papers)Hao Zeng (18 shared papers)Yuling Luo (6 shared papers)Hanhong Xu (2 shared papers)Sha Zhu (4 shared papers)Jing Chen (1 shared paper)Yeqian Huang (6 shared papers)Manni Wang (3 shared papers)
- Journals
- Medicine (3 papers)International Immunopharmacology (3 papers)Frontiers in Oncology (3 papers)Frontiers in Cell and Developmental Biology (2 papers)Head & Neck (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Linyan Chen
39 papers receiving 616 citations
Peers
Comparison fields: 5 of 89
- Otorhinolaryngology 69
- Cancer Research 167
- Health Informatics 14
- Radiology, Nuclear Medicine and Imaging 191
- Oncology 169
Countries citing papers authored by Linyan Chen
This map shows the geographic impact of Linyan 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 Linyan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linyan Chen more than expected).
Fields of papers citing papers by Linyan Chen
This network shows the impact of papers produced by Linyan 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 Linyan Chen. The network helps show where Linyan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Linyan 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 56 | |
| 2 | 2012 | 47 | |
| 3 | 2021 | 46 | |
| 4 | 2018 | 42 | |
| 5 | 2020 | 34 | |
| 6 | 2017 | 27 | |
| 7 | 2012 | 27 | |
| 8 | 2021 | 27 | |
| 9 | 2017 | 24 | |
| 10 | 2017 | 22 | |
| 11 | 2021 | 20 | |
| 12 | 2021 | 20 | |
| 13 | Esophageal squamous cell carcinoma and ALDH2 and ADH1B polymorphisms in Chinese females. | 2011 | 19 |
| 14 | 2021 | 18 | |
| 15 | 2017 | 18 | |
| 16 | 2019 | 17 | |
| 17 | 2021 | 16 | |
| 18 | 2020 | 16 | |
| 19 | 2020 | 14 | |
| 20 | 2021 | 14 |
About Linyan Chen
Linyan Chen is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research, having authored 39 papers that have together received 623 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers), RNA modifications and cancer (5 papers), AI in cancer detection (5 papers), Ferroptosis and cancer prognosis (5 papers), Renal cell carcinoma treatment (4 papers), Cancer Genomics and Diagnostics (4 papers) and Head and Neck Cancer Studies (4 papers). The work is most often cited by research in Otorhinolaryngology (69 citations), Cancer Research (167 citations), Health Informatics (14 citations), Radiology, Nuclear Medicine and Imaging (191 citations) and Oncology (169 citations). Linyan Chen has collaborated with scholars based in China and United States. Frequent co-authors include Xuelei Ma, Hao Zeng, Yuling Luo, Hanhong Xu, Sha Zhu, Jing Chen, Yeqian Huang, Manni Wang, Qingfang Li and Dan Zhang. Their work appears in journals such as Medicine, International Immunopharmacology, Frontiers in Oncology, Frontiers in Cell and Developmental Biology and Head & Neck.
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.