Keyu Lin
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Circular RNAs in diseases 3
- Angiogenesis and VEGF in Cancer 2
- RNA modifications and cancer 2
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- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 3
- Co-authors
- S.C. Huang (2 shared papers)Ying Su (8 shared papers)M.E. Phelps (2 shared papers)Michael S. Mega (1 shared paper)Arthur W. Toga (1 shared paper)Gary W. Small (1 shared paper)Hua Cao (1 shared paper)Jiawei He (1 shared paper)
- Journals
- Frontiers in Oncology (2 papers)Mammalian Genome (1 paper)Journal of Minimally Invasive Gynecology (1 paper)The Oncologist (1 paper)Acta Tropica (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Keyu Lin
22 papers receiving 329 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 56
- Radiology, Nuclear Medicine and Imaging 81
- Otorhinolaryngology 10
- Oncology 49
- Rheumatology 27
Countries citing papers authored by Keyu Lin
This map shows the geographic impact of Keyu Lin'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 Keyu Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keyu Lin more than expected).
Fields of papers citing papers by Keyu Lin
This network shows the impact of papers produced by Keyu Lin. 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 Keyu Lin. The network helps show where Keyu Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Keyu Lin, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 66 | |
| 2 | 2024 | 41 | |
| 3 | 2020 | 34 | |
| 4 | 1996 | 31 | |
| 5 | 2011 | 27 | |
| 6 | 1998 | 17 | |
| 7 | 2001 | 16 | |
| 8 | 2022 | 14 | |
| 9 | 2022 | 14 | |
| 10 | 2022 | 13 | |
| 11 | 2021 | 12 | |
| 12 | 2021 | 12 | |
| 13 | 1997 | 10 | |
| 14 | 2018 | 9 | |
| 15 | 2015 | 7 | |
| 16 | 2020 | 5 | |
| 17 | 2021 | 4 | |
| 18 | 2015 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 1 |
About Keyu Lin
Keyu Lin is a scholar working on Molecular Biology, Cancer Research, Oncology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 339 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (3 papers), Medical Image Segmentation Techniques (2 papers), Medical Imaging Techniques and Applications (2 papers), Viral-associated cancers and disorders (2 papers), Angiogenesis and VEGF in Cancer (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (56 citations), Radiology, Nuclear Medicine and Imaging (81 citations), Otorhinolaryngology (10 citations), Oncology (49 citations) and Rheumatology (27 citations). Keyu Lin has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include S.C. Huang, Ying Su, M.E. Phelps, Michael S. Mega, Arthur W. Toga, Gary W. Small, Hua Cao, Jiawei He, Xiang Liu and Xingyue Wang. Their work appears in journals such as Frontiers in Oncology, Mammalian Genome, Journal of Minimally Invasive Gynecology, The Oncologist and Acta Tropica.
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.