Shao‐Yu Lin

1.7k total citations · 1 hit paper
17 papers, 753 citations indexed

About

Shao‐Yu Lin is a scholar working on Cell Biology, Molecular Biology and Plant Science. According to data from OpenAlex, Shao‐Yu Lin has authored 17 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cell Biology, 3 papers in Molecular Biology and 3 papers in Plant Science. Recurrent topics in Shao‐Yu Lin's work include Endoplasmic Reticulum Stress and Disease (4 papers), Plant-Microbe Interactions and Immunity (3 papers) and Experience-Based Knowledge Management (2 papers). Shao‐Yu Lin is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (4 papers), Plant-Microbe Interactions and Immunity (3 papers) and Experience-Based Knowledge Management (2 papers). Shao‐Yu Lin collaborates with scholars based in United States, China and Taiwan. Shao‐Yu Lin's co-authors include Justin K. Ichida, Yingxiao Shi, Karthik Krishnamurthy, Xinmei Wen, Udai Bhan Pandey, Shashirekha S. Markandaiah, Davide Trotti, Thomas Westergard, Neil A. Shneider and Piera Pasinelli and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Scientific Reports.

In The Last Decade

Shao‐Yu Lin

15 papers receiving 744 citations

Hit Papers

Antisense Proline-Arginine RAN Dipeptides Linked to C9ORF... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shao‐Yu Lin United States 12 347 330 214 125 114 17 753
Qiang Cai China 16 159 0.5× 320 1.0× 97 0.5× 26 0.2× 98 0.9× 56 792
William Duddy United Kingdom 21 274 0.8× 1.1k 3.3× 305 1.4× 85 0.7× 108 0.9× 45 1.3k
Anaïs Aulas France 15 539 1.6× 1.1k 3.2× 339 1.6× 185 1.5× 98 0.9× 20 1.4k
Liming Li United States 19 116 0.3× 1.2k 3.7× 82 0.4× 103 0.8× 147 1.3× 37 1.5k
Flávia C. Nery United States 16 349 1.0× 426 1.3× 117 0.5× 202 1.6× 374 3.3× 21 870
Benjamin Bourgeois Austria 14 198 0.6× 876 2.7× 128 0.6× 72 0.6× 33 0.3× 24 973
Wenting Guo China 16 367 1.1× 549 1.7× 192 0.9× 50 0.4× 156 1.4× 31 881
Grace E. Lidgerwood Australia 14 67 0.2× 423 1.3× 44 0.2× 38 0.3× 61 0.5× 21 552
Ilaria Piccini Germany 14 117 0.3× 949 2.9× 65 0.3× 50 0.4× 257 2.3× 23 1.3k
Antonino Cascino Italy 14 63 0.2× 402 1.2× 131 0.6× 18 0.1× 104 0.9× 24 678

Countries citing papers authored by Shao‐Yu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Shao‐Yu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shao‐Yu Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Shao‐Yu Lin. A scholar is included among the top collaborators of Shao‐Yu 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 Shao‐Yu Lin. Shao‐Yu Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Li, Zhi, Qing-Qing Bi, Song Tian, et al.. (2023). High-efficient fire-safe epoxy enabled by bio-based atomic-level catalytic engineering. Chemical Engineering Journal. 461. 141967–141967. 27 indexed citations
2.
Zargar, Omid Ali, et al.. (2022). A Numerical Study on the Effects of Purge and Air Curtain Flow Rates on Humidity Invasion Into a Front Opening Unified Pod (FOUP). IEEE Transactions on Semiconductor Manufacturing. 35(4). 670–679. 3 indexed citations
3.
Zargar, Omid Ali, et al.. (2022). A comparative study of a front opening unified pod (FOUP) moisture removal efficiency with different purging gases. International Journal of Thermofluids. 16. 100198–100198. 1 indexed citations
4.
Lin, Shao‐Yu, et al.. (2021). Vehicle Path Planning with Multicloud Computation Services. 6(4). 213–221.
5.
Li, Xiling, Divya Gupta, Eric Hendricks, et al.. (2021). Engineering skeletal muscle tissues with advanced maturity improves synapse formation with human induced pluripotent stem cell-derived motor neurons. APL Bioengineering. 5(3). 36101–36101. 24 indexed citations
6.
Jones, Darcy, Kasia Rybak, Huyen T. T. Phan, et al.. (2019). A specific fungal transcription factor controls effector gene expression and orchestrates the establishment of the necrotrophic pathogen lifestyle on wheat. Scientific Reports. 9(1). 15884–15884. 33 indexed citations
7.
Shi, Yingxiao, Gabriel S. Rocha, Shao‐Yu Lin, et al.. (2019). Identification and therapeutic rescue of autophagosome and glutamate receptor defects in C9ORF72 and sporadic ALS neurons. JCI Insight. 4(15). 42 indexed citations
8.
Sung, Tzu-Ying, et al.. (2018). ACR11 modulates levels of reactive oxygen species and salicylic acid-associated defense response in Arabidopsis. Scientific Reports. 8(1). 11851–11851. 21 indexed citations
9.
Lin, Shao‐Yu, Yit‐Heng Chooi, & Peter S. Solomon. (2018). The global regulator of pathogenesis PnCon7 positively regulates Tox3 effector gene expression through direct interaction in the wheat pathogen Parastagonospora nodorum. Molecular Microbiology. 109(1). 78–90. 15 indexed citations
10.
Zhu, Yimeng, et al.. (2017). Sec61β facilitates the maintenance of endoplasmic reticulum homeostasis by associating microtubules. Protein & Cell. 9(7). 616–628. 27 indexed citations
11.
Wen, Xinmei, Wenzhi Tan, Thomas Westergard, et al.. (2014). Antisense Proline-Arginine RAN Dipeptides Linked to C9ORF72-ALS/FTD Form Toxic Nuclear Aggregates that Initiate In Vitro and In Vivo Neuronal Death. Neuron. 84(6). 1213–1225. 394 indexed citations breakdown →
12.
Feng, Yanbin, Wenying Yu, Xinxin Li, et al.. (2013). Structural Insight into Golgi Membrane Stacking by GRASP65 and GRASP55 Proteins. Journal of Biological Chemistry. 288(39). 28418–28427. 42 indexed citations
13.
Lin, Shao‐Yu, Sha Sun, & Junjie Hu. (2012). Molecular basis for sculpting the endoplasmic reticulum membrane. The International Journal of Biochemistry & Cell Biology. 44(9). 1436–1443. 35 indexed citations
14.
Hu, Guobin, et al.. (2011). ECTOPIC EXPRESSION OF LFY AND AP1 HOMOLOGUES OF LOQUAT. Acta Horticulturae. 227–232. 1 indexed citations
15.
Chan, Sheng-Chieh, Joseph Tung‐Chieh Chang, Chien‐Yu Lin, et al.. (2011). Clinical utility of 18F-FDG PET parameters in patients with advanced nasopharyngeal carcinoma. Nuclear Medicine Communications. 32(11). 989–996. 61 indexed citations
16.
Gao, Wenhua, Shao‐Yu Lin, Yaowen Chen, et al.. (2005). Nonaqueous capillary electrophoresis for rapid and sensitive determination of fangchinoline and tetrandrine in Radix Stephaniae tetrandrae and its medicinal preparations. Journal of Separation Science. 28(7). 639–646. 21 indexed citations
17.
Sham, Hing L., Chen Zhao, Kennan C. Marsh, et al.. (1995). Potent Inhibitors of the HIV-1 Protease with Good Oral Bioavailabilities. Biochemical and Biophysical Research Communications. 211(1). 159–165. 6 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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