Sheng‐Yan Lin
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Acute Myeloid Leukemia Research
Papers in
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- Gene expression and cancer classification 2
- Retinoids in leukemia and cellular processes 2
- Bioinformatics and Genomic Networks 2
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- Acute Myeloid Leukemia Research 4
- Co-authors
- Min‐Hsing Chang (1 shared paper)An‐Yuan Guo (7 shared papers)Qiong Zhang (5 shared papers)Feifei Hu (4 shared papers)Zheng Ye (1 shared paper)Yao Lv (1 shared paper)Zhichao Chen (5 shared papers)Yan Wang (1 shared paper)
- Journals
- Briefings in Bioinformatics (2 papers)Biochemical Engineering Journal (1 paper)Acta Pharmacologica Sinica (1 paper)Frontiers in Cellular and Infection Microbiology (1 paper)International Journal of Hydrogen Energy (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Sheng‐Yan Lin
18 papers receiving 262 citations
Peers
Comparison fields: 5 of 66
- Cancer Research 56
- Hematology 31
- Renewable Energy, Sustainability and the Environment 43
- Rheumatology 28
- Molecular Biology 103
Countries citing papers authored by Sheng‐Yan Lin
This map shows the geographic impact of Sheng‐Yan 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 Sheng‐Yan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng‐Yan Lin more than expected).
Fields of papers citing papers by Sheng‐Yan Lin
This network shows the impact of papers produced by Sheng‐Yan 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 Sheng‐Yan Lin. The network helps show where Sheng‐Yan Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Sheng‐Yan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 48 | |
| 2 | 2019 | 40 | |
| 3 | 2019 | 22 | |
| 4 | 2019 | 21 | |
| 5 | 2017 | 20 | |
| 6 | 2017 | 19 | |
| 7 | 2022 | 17 | |
| 8 | 2017 | 17 | |
| 9 | 2019 | 16 | |
| 10 | 2017 | 10 | |
| 11 | 2023 | 9 | |
| 12 | 2021 | 8 | |
| 13 | 2020 | 6 | |
| 14 | 2018 | 6 | |
| 15 | 2022 | 3 | |
| 16 | 2016 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 1 |
About Sheng‐Yan Lin
Sheng‐Yan Lin is a scholar working on Molecular Biology, Hematology, Rheumatology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 266 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Gene expression and cancer classification (2 papers), Retinoids in leukemia and cellular processes (2 papers), IgG4-Related and Inflammatory Diseases (2 papers), Bioinformatics and Genomic Networks (2 papers), Cell Adhesion Molecules Research (2 papers), Sarcoma Diagnosis and Treatment (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Cancer Research (56 citations), Hematology (31 citations), Renewable Energy, Sustainability and the Environment (43 citations), Rheumatology (28 citations) and Molecular Biology (103 citations). Sheng‐Yan Lin has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Min‐Hsing Chang, An‐Yuan Guo, Qiong Zhang, Feifei Hu, Zheng Ye, Yao Lv, Zhichao Chen, Yan Wang, Lingli Dong and Shaozhe Cai. Their work appears in journals such as Briefings in Bioinformatics, Biochemical Engineering Journal, Acta Pharmacologica Sinica, Frontiers in Cellular and Infection Microbiology and International Journal of Hydrogen Energy.
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.