Mei‐Chun Lin

1.1k total citations
46 papers, 730 citations indexed

About

Mei‐Chun Lin is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Mei‐Chun Lin has authored 46 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Oncology and 7 papers in Surgery. Recurrent topics in Mei‐Chun Lin's work include Glycosylation and Glycoproteins Research (10 papers), Head and Neck Cancer Studies (6 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Mei‐Chun Lin is often cited by papers focused on Glycosylation and Glycoproteins Research (10 papers), Head and Neck Cancer Studies (6 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Mei‐Chun Lin collaborates with scholars based in Taiwan, Switzerland and Japan. Mei‐Chun Lin's co-authors include Min‐Chuan Huang, Pei‐Jen Lou, Syue‐Ting Chen, Hsueh‐Fen Juan, Chiung‐Hui Liu, Tsung‐Lin Yang, Chia‐Lang Hsu, Miao-Juei Huang, Tsan-Jung Yu and John Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of The Electrochemical Society and Oncogene.

In The Last Decade

Mei‐Chun Lin

44 papers receiving 715 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mei‐Chun Lin Taiwan 15 388 163 113 100 56 46 730
Xing Gu China 17 621 1.6× 187 1.1× 174 1.5× 203 2.0× 72 1.3× 60 1.0k
Md Zahidul Islam Pranjol United Kingdom 16 333 0.9× 126 0.8× 185 1.6× 163 1.6× 20 0.4× 49 878
Jiajia Zheng China 19 343 0.9× 204 1.3× 82 0.7× 141 1.4× 76 1.4× 79 844
Yuki Otsuki Japan 13 372 1.0× 103 0.6× 109 1.0× 64 0.6× 148 2.6× 43 726
Suresh Selvaraj India 10 384 1.0× 134 0.8× 86 0.8× 102 1.0× 28 0.5× 28 751
Lauren Bazinet United States 14 236 0.6× 154 0.9× 81 0.7× 51 0.5× 29 0.5× 18 617
Chengyan Wang China 14 533 1.4× 88 0.5× 125 1.1× 103 1.0× 114 2.0× 41 797
Joanna Gola Poland 14 273 0.7× 124 0.8× 86 0.8× 87 0.9× 115 2.1× 87 626
Agnieszka Krawczenko Poland 16 316 0.8× 141 0.9× 146 1.3× 94 0.9× 132 2.4× 38 797
Caiting Yang China 14 300 0.8× 233 1.4× 125 1.1× 144 1.4× 50 0.9× 33 655

Countries citing papers authored by Mei‐Chun Lin

Since Specialization
Citations

This map shows the geographic impact of Mei‐Chun 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 Mei‐Chun Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei‐Chun Lin more than expected).

Fields of papers citing papers by Mei‐Chun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei‐Chun 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 Mei‐Chun Lin. The network helps show where Mei‐Chun Lin may publish in the future.

Co-authorship network of co-authors of Mei‐Chun Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Mei‐Chun Lin. A scholar is included among the top collaborators of Mei‐Chun Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mei‐Chun Lin. Mei‐Chun Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lin, Mei‐Chun, et al.. (2025). Older adults’ Internet use behavior and its association with accelerometer-derived physical activity. Frontiers in Public Health. 13. 1537309–1537309.
2.
Renesse, Janusz von, Mei‐Chun Lin, & Ping‐Chih Ho. (2025). Tumor-draining lymph nodes – friend or foe during immune checkpoint therapy?. Trends in cancer. 11(7). 676–690. 2 indexed citations
3.
Wang, Cheng‐Ping, et al.. (2024). Margin to depth of invasion ratio as an indicator for stratifying close margins in early-stage oral squamous cell carcinoma. Oral Oncology. 151. 106726–106726. 4 indexed citations
4.
Huang, Yenlin, Yi‐Ju Chen, Hsin-Yi Wu, et al.. (2024). The branched N-glycan of PD-L1 predicts immunotherapy responses in patients with recurrent/metastatic HNSCC. Oncogenesis. 13(1). 36–36. 1 indexed citations
5.
Lin, Mei‐Chun, Hsin‐Yi Wu, Chia‐Lang Hsu, et al.. (2023). Targeting tumor O‐glycosylation modulates cancer–immune‐cell crosstalk and enhances anti‐PD‐1 immunotherapy in head and neck cancer. Molecular Oncology. 18(2). 350–368. 12 indexed citations
6.
Chang, Chun‐Wei, et al.. (2023). Chemoprevention of oral cancer: A review and future perspectives. Head & Neck. 45(4). 1045–1059. 16 indexed citations
7.
Lin, Neng‐Yu, Jian‐Jr Lee, Syue‐Ting Chen, et al.. (2023). Truncation of GalNAc-type O-glycans Suppresses CD44-mediated Osteoclastogenesis and Bone Metastasis in Breast Cancer. Molecular Cancer Research. 21(7). 664–674. 6 indexed citations
8.
Coevoet, Eulalie, et al.. (2022). Planning of Soft-Rigid Hybrid Arms in Contact With Compliant Environment: Application to the Transrectal Biopsy of the Prostate. IEEE Robotics and Automation Letters. 7(2). 4853–4860. 10 indexed citations
9.
Yang, Peiwen, Mei‐Chun Lin, Pei‐Ming Huang, et al.. (2021). Risk Factors and Genetic Biomarkers of Multiple Primary Cancers in Esophageal Cancer Patients. Frontiers in Oncology. 10. 585621–585621. 4 indexed citations
10.
Chen, Tseng‐Cheng, Chi Wang, Mei‐Chun Lin, et al.. (2021). Impact of invasion into cervical esophagus for patients with hypopharyngeal squamous cell carcinoma. Oral Oncology. 125. 105683–105683. 4 indexed citations
11.
Lee, Po‐Chu, Syue‐Ting Chen, Ting‐Chun Kuo, et al.. (2020). C1GALT1 is associated with poor survival and promotes soluble Ephrin A1-mediated cell migration through activation of EPHA2 in gastric cancer. Oncogene. 39(13). 2724–2740. 45 indexed citations
12.
Chen, Syue‐Ting, Ting‐Chun Kuo, Ying-Yu Liao, et al.. (2018). Silencing of MUC20 suppresses the malignant character of pancreatic ductal adenocarcinoma cells through inhibition of the HGF/MET pathway. Oncogene. 37(46). 6041–6053. 41 indexed citations
13.
Lin, Mei‐Chun, Pei‐Wei Shueng, Wei‐Kuo Chang, et al.. (2018). Consensus and clinical recommendations for nutritional intervention for head and neck cancer patients undergoing chemoradiotherapy in Taiwan. Oral Oncology. 81. 16–21. 17 indexed citations
14.
Lin, Mei‐Chun, Hsin‐Yi Wu, Syue‐Ting Chen, et al.. (2018). C1GALT1 predicts poor prognosis and is a potential therapeutic target in head and neck cancer. Oncogene. 37(43). 5780–5793. 54 indexed citations
15.
16.
Wang, Hurng‐Yi, et al.. (2014). Instability of Succinate Dehydrogenase in SDHD Polymorphism Connects Reactive Oxygen Species Production to Nuclear and Mitochondrial Genomic Mutations in Yeast. Antioxidants and Redox Signaling. 22(7). 587–602. 11 indexed citations
17.
Lin, Mei‐Chun, Chang‐Mu Chen, Ham‐Min Tseng, Furen Xiao, & Yi‐Ho Young. (2013). A Proposed Method to Comprehensively Define Outcomes in Acoustic Tumor Patients Undergoing CyberKnife Management. Stereotactic and Functional Neurosurgery. 91(3). 177–185. 19 indexed citations
18.
19.
Shyu, Ming‐Kwang, Mei‐Chun Lin, Jin‐Chung Shih, et al.. (2007). Mucin 15 is expressed in human placenta and suppresses invasion of trophoblast-like cells in vitro. Human Reproduction. 22(10). 2723–2732. 41 indexed citations
20.
Lo, Yuk‐Keung, et al.. (2002). Gossypol, a component in cottonseed, induced increases in cytosolic Ca 2+ levels in Chang liver cells. Toxicon. 40(7). 851–856. 11 indexed citations

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.

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