Shuchen Lin
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
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- Cancer Cells and Metastasis
Papers in
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- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 3
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- Circular RNAs in diseases 4
- RNA modifications and cancer 2
- Co-authors
- Daliu Min (12 shared papers)Zhihua Gan (11 shared papers)Kun Han (9 shared papers)Yuh‐Shan Jou (2 shared papers)Chin‐Fu Hsiao (1 shared paper)Yung-Chie Lee (1 shared paper)Chen‐Tu Wu (1 shared paper)Yih‐Leong Chang (1 shared paper)
- Journals
- OncoTargets and Therapy (3 papers)BMC Cancer (2 papers)The Breast (2 papers)Bioscience Reports (1 paper)Neoplasia (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Shuchen Lin
26 papers receiving 492 citations
Peers
Comparison fields: 5 of 71
- Cancer Research 168
- Oncology 156
- Pulmonary and Respiratory Medicine 170
- Molecular Biology 245
- Applied Microbiology and Biotechnology 6
Countries citing papers authored by Shuchen Lin
This map shows the geographic impact of Shuchen 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 Shuchen Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuchen Lin more than expected).
Fields of papers citing papers by Shuchen Lin
This network shows the impact of papers produced by Shuchen 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 Shuchen Lin. The network helps show where Shuchen Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuchen 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 95 | |
| 2 | 2016 | 61 | |
| 3 | 2016 | 49 | |
| 4 | 2011 | 39 | |
| 5 | 2022 | 35 | |
| 6 | 2015 | 32 | |
| 7 | 2017 | 27 | |
| 8 | 2017 | 21 | |
| 9 | 2016 | 19 | |
| 10 | 2019 | 17 | |
| 11 | 2014 | 14 | |
| 12 | 2020 | 10 | |
| 13 | 2015 | 9 | |
| 14 | Prognostic value of SOX2 in digestive tumors: a meta-analysis. | 2014 | 8 |
| 15 | 2020 | 7 | |
| 16 | 2017 | 7 | |
| 17 | 2015 | 6 | |
| 18 | 1970 | 6 | |
| 19 | 2016 | 6 | |
| 20 | 2021 | 6 |
About Shuchen Lin
Shuchen Lin is a scholar working on Cancer Research, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 26 papers that have together received 494 indexed citations. Recurring topics across this work include Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (4 papers), Cancer Cells and Metastasis (3 papers), Cancer-related molecular mechanisms research (3 papers), Endometrial and Cervical Cancer Treatments (2 papers), Cancer-related Molecular Pathways (2 papers), RNA modifications and cancer (2 papers) and Sarcoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (168 citations), Oncology (156 citations), Pulmonary and Respiratory Medicine (170 citations), Molecular Biology (245 citations) and Applied Microbiology and Biotechnology (6 citations). Shuchen Lin has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Daliu Min, Zhihua Gan, Kun Han, Yuh‐Shan Jou, Chin‐Fu Hsiao, Yung-Chie Lee, Chen‐Tu Wu, Yih‐Leong Chang, Yan Zhou and Zhonghua Tao. Their work appears in journals such as OncoTargets and Therapy, BMC Cancer, The Breast, Bioscience Reports and Neoplasia.
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.