Chin‐Wei Lin

934 total citations
23 papers, 578 citations indexed

About

Chin‐Wei Lin is a scholar working on Molecular Biology, Materials Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chin‐Wei Lin has authored 23 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Materials Chemistry and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chin‐Wei Lin's work include Glycosylation and Glycoproteins Research (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Carbohydrate Chemistry and Synthesis (5 papers). Chin‐Wei Lin is often cited by papers focused on Glycosylation and Glycoproteins Research (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Carbohydrate Chemistry and Synthesis (5 papers). Chin‐Wei Lin collaborates with scholars based in Taiwan and United States. Chin‐Wei Lin's co-authors include Chung‐Yi Wu, Chi‐Huey Wong, Cheng‐Chi Wang, Chiu‐Hsien Wu, Yen‐Lin Huang, Alice L. Yu, Jung‐Tung Hung, Chien‐Tai Ren, Jyh‐Cherng Yu and Kuen-Lin Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Chin‐Wei Lin

21 papers receiving 567 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chin‐Wei Lin Taiwan 12 305 193 136 125 113 23 578
Kuo‐Ting Huang Taiwan 15 602 2.0× 123 0.6× 387 2.8× 71 0.6× 222 2.0× 34 835
Ji Hoon Lee South Korea 15 257 0.8× 70 0.4× 136 1.0× 137 1.1× 45 0.4× 36 667
Jean‐Marie Swiecicki France 14 434 1.4× 56 0.3× 136 1.0× 76 0.6× 47 0.4× 19 621
Rosalie L. M. Teeuwen Netherlands 10 242 0.8× 75 0.4× 219 1.6× 60 0.5× 52 0.5× 10 552
Yoshimasa Kawaguchi Japan 12 560 1.8× 201 1.0× 48 0.4× 64 0.5× 49 0.4× 46 866
Ching‐Ching Yu Taiwan 18 561 1.8× 44 0.2× 363 2.7× 66 0.5× 98 0.9× 29 762
Waldemar Schrimpf Germany 14 370 1.2× 33 0.2× 95 0.7× 199 1.6× 52 0.5× 16 786
Silvia Angeloni Switzerland 10 240 0.8× 36 0.2× 94 0.7× 61 0.5× 86 0.8× 14 481
Nicolas Laurent United Kingdom 13 618 2.0× 78 0.4× 280 2.1× 50 0.4× 140 1.2× 26 779
Kjell Magnusson Sweden 6 235 0.8× 285 1.5× 46 0.3× 69 0.6× 102 0.9× 10 580

Countries citing papers authored by Chin‐Wei Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Wei Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chin‐Wei Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Chin‐Wei Lin. A scholar is included among the top collaborators of Chin‐Wei 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 Chin‐Wei Lin. Chin‐Wei 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, Chin‐Wei, et al.. (2024). Two-dimensional superconductivity with exotic magnetotransports in conventional superconductor BiIn2. Materials Today Physics. 46. 101505–101505. 1 indexed citations
2.
Tsai, Po‐Yu, et al.. (2024). Enhanced visible-light photocatalytic activity of Fe3O4@MoS2@Au nanocomposites for methylene blue degradation through Plasmon-Induced charge transfer. Separation and Purification Technology. 342. 126988–126988. 9 indexed citations
3.
4.
Lin, Chin‐Wei, Po‐Han Lin, Ting‐Bin Chen, et al.. (2024). Ultrasensitive miRNA-135a-5p biochip for early Alzheimer's disease detection utilizing magneto-optical faraday effect and magnetoplasmonic nanoparticles. Sensors and Actuators B Chemical. 427. 137134–137134.
5.
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7.
Kumar, Utkarsh, et al.. (2022). A simple and fast method for the fabrication of p-type β-Ga2O3 by electrochemical oxidation method with DFT interpretation. Nanotechnology. 34(7). 75704–75704. 11 indexed citations
8.
Chen, Kuen-Lin, Chin‐Wei Lin, Jianming Chen, et al.. (2022). Sensitivity enhancement of magneto-optical Faraday effect immunoassay method based on biofunctionalized γ-Fe2O3@Au core-shell magneto-plasmonic nanoparticles for the blood detection of Alzheimer's disease. Nanomedicine Nanotechnology Biology and Medicine. 46. 102601–102601. 6 indexed citations
9.
Lin, Chin‐Wei, et al.. (2021). Improvement of multisource localization of magnetic particles in an animal. Scientific Reports. 11(1). 9628–9628. 1 indexed citations
10.
Chen, Kuen-Lin, et al.. (2021). A magneto-optical biochip for rapid assay based on the Cotton–Mouton effect of γ-Fe2O3@Au core/shell nanoparticles. Journal of Nanobiotechnology. 19(1). 301–301. 16 indexed citations
11.
Lin, Chin‐Wei, Jianming Chen, Chiu‐Hsien Wu, et al.. (2019). Magneto-Optical Characteristics of Streptavidin-Coated Fe3O4@Au Core-Shell Nanoparticles for Potential Applications on Biomedical Assays. Scientific Reports. 9(1). 16466–16466. 23 indexed citations
12.
Lin, Chin‐Wei, et al.. (2016). Ultraviolet photodetector and gas sensor based on amorphous In-Ga-Zn-O film. Thin Solid Films. 618. 73–76. 11 indexed citations
13.
Tsai, Tsung-I, Shiou‐Ting Li, Sachin S. Shivatare, et al.. (2016). An Effective Bacterial Fucosidase for Glycoprotein Remodeling. ACS Chemical Biology. 12(1). 63–72. 35 indexed citations
14.
Wu, Chiu‐Hsien, et al.. (2015). Highly sensitive amorphous In–Ga–Zn–O films for ppb-level ozone sensing: Effects of deposition temperature. Sensors and Actuators B Chemical. 211. 354–358. 28 indexed citations
15.
Liang, C. Jason, Sheng‐Kai Wang, Chin‐Wei Lin, et al.. (2011). Effects of Neighboring Glycans on Antibody–Carbohydrate Interaction. Angewandte Chemie International Edition. 50(7). 1608–1612. 54 indexed citations
16.
Liang, C. Jason, Sheng‐Kai Wang, Chin‐Wei Lin, et al.. (2011). Effects of Neighboring Glycans on Antibody–Carbohydrate Interaction. Angewandte Chemie. 123(7). 1646–1650. 12 indexed citations
17.
Han, Jeng‐Liang, Susan Y. Tseng, Hsinyu Lee, et al.. (2010). Glycan Array on Aluminum Oxide-Coated Glass Slides through Phosphonate Chemistry. Journal of the American Chemical Society. 132(38). 13371–13380. 51 indexed citations
18.
Tseng, Susan Y., Cheng‐Chi Wang, Chin‐Wei Lin, et al.. (2008). Glycan Arrays on Aluminum‐Coated Glass Slides. Chemistry - An Asian Journal. 3(8-9). 1395–1405. 21 indexed citations
19.
Huang, Chung‐Ming, et al.. (2008). A Proactive mobile‐initiated fast handoff scheme using the multihomed approach. Wireless Communications and Mobile Computing. 9(9). 1194–1205.
20.
Wang, Cheng‐Chi, Yen‐Lin Huang, Chien‐Tai Ren, et al.. (2008). Glycan microarray of Globo H and related structures for quantitative analysis of breast cancer. Proceedings of the National Academy of Sciences. 105(33). 11661–11666. 115 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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