Ying‐Chi Lin

2.1k total citations
88 papers, 1.6k citations indexed

About

Ying‐Chi Lin is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Ying‐Chi Lin has authored 88 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 14 papers in Infectious Diseases and 14 papers in Epidemiology. Recurrent topics in Ying‐Chi Lin's work include Antimicrobial Resistance in Staphylococcus (13 papers), Antibiotic Resistance in Bacteria (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). Ying‐Chi Lin is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (13 papers), Antibiotic Resistance in Bacteria (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). Ying‐Chi Lin collaborates with scholars based in Taiwan, China and United States. Ying‐Chi Lin's co-authors include Marnie L. Peterson, Patrick M. Schlievert, Kristi L. Strandberg, Chia‐Chi Wang, Michele J. Anderson, Donald Y.M. Leung, Chun-Wei Tung, Del D. Miller, Jeffrey R. Bishop and Vicki L. Ellingrod and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Ying‐Chi Lin

82 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying‐Chi Lin Taiwan 25 506 282 155 140 139 88 1.6k
Hongyun Lu China 26 619 1.2× 232 0.8× 69 0.4× 172 1.2× 125 0.9× 89 2.0k
Juan C. Cancino‐Díaz Mexico 22 496 1.0× 171 0.6× 252 1.6× 112 0.8× 78 0.6× 83 1.3k
Xiaoyang Jiao China 24 431 0.9× 177 0.6× 114 0.7× 219 1.6× 46 0.3× 82 1.6k
Mi-Sun Kim South Korea 27 847 1.7× 169 0.6× 138 0.9× 116 0.8× 187 1.3× 169 2.2k
Anna De Filippis Italy 26 651 1.3× 144 0.5× 146 0.9× 261 1.9× 100 0.7× 107 2.3k
Hongtao Jin China 25 483 1.0× 167 0.6× 154 1.0× 215 1.5× 32 0.2× 144 1.8k
Gulshan Singh India 21 672 1.3× 240 0.9× 81 0.5× 142 1.0× 35 0.3× 55 1.8k
Vineet K. Sharma India 26 1.5k 3.0× 199 0.7× 89 0.6× 139 1.0× 73 0.5× 91 2.4k
Jilin Li China 20 1.4k 2.8× 253 0.9× 218 1.4× 259 1.9× 59 0.4× 72 2.9k
Seyed Mahdi Hosseiniyan Khatibi Iran 19 516 1.0× 458 1.6× 140 0.9× 122 0.9× 22 0.2× 51 1.7k

Countries citing papers authored by Ying‐Chi Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ying‐Chi Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying‐Chi Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Ying‐Chi Lin. A scholar is included among the top collaborators of Ying‐Chi 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 Ying‐Chi Lin. Ying‐Chi 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, Ying‐Chi, et al.. (2025). Rice cropping sequence mapping in the tropical monsoon zone via agronomic knowledge graphs integrating phenology and remote sensing. Ecological Informatics. 87. 103075–103075. 2 indexed citations
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Lin, Ying‐Chi, Yan Zhang, Yang Li, et al.. (2024). EGCG suppressed activation of hepatic stellate cells by regulating the PLCE1/IP3/Ca2+ pathway. European Journal of Nutrition. 63(8). 3255–3268. 2 indexed citations
5.
Wang, Shanshan, Pinpin Lin, Chia‐Chi Wang, Ying‐Chi Lin, & Chun-Wei Tung. (2023). Machine learning for predicting chemical migration from food packaging materials to foods. Food and Chemical Toxicology. 178. 113942–113942. 13 indexed citations
6.
Li, J., Ying‐Chi Lin, Qiuhe Chen, et al.. (2023). Aqueous extract of Amydrium sinense (Engl.) H. Li alleviates hepatic fibrosis by suppressing hepatic stellate cell activation through inhibiting Stat3 signaling. Frontiers in Pharmacology. 14. 1101703–1101703. 2 indexed citations
7.
Zhang, Qian, et al.. (2022). Siderophores of Bacillus pumilus promote 2‐keto‐L‐gulonic acid production in a vitamin C microbial fermentation system. Journal of Basic Microbiology. 62(7). 833–842. 15 indexed citations
8.
Tung, Chun-Wei, et al.. (2022). In silico prediction of parkinsonian motor deficits-related neurotoxicants based on the adverse outcome pathway concept. Archives of Toxicology. 96(12). 3305–3314. 8 indexed citations
9.
Yi, Shujuan, et al.. (2021). Optimization of the Water and Fertilizer of Rice in the Cold Field and the Biochar Application Amount Based on RAGA Model. SHILAP Revista de lepidopterología. 20(3). 1 indexed citations
10.
Lin, Ying‐Chi, et al.. (2021). An easy method for identifying 315 categories of commonly-used Chinese herbal medicines based on automated image recognition using AutoML platforms. Informatics in Medicine Unlocked. 25. 100607–100607. 16 indexed citations
11.
Wu, Ho‐Cheng, Tsong‐Long Hwang, Chu‐Hung Lin, et al.. (2020). Anti-Inflammatory and Antibacterial Activity Constituents from the Stem of Cinnamomum validinerve. Molecules. 25(15). 3382–3382. 11 indexed citations
12.
Wang, Chia‐Chi, et al.. (2020). Computational identification of preservatives with potential neuronal cytotoxicity. Regulatory Toxicology and Pharmacology. 119. 104815–104815. 14 indexed citations
13.
Lin, Ying‐Chi, Shaoping Wang, Jiayu Zhang, et al.. (2020). Ethnobotanical survey of medicinal plants in Gaomi, China. Journal of Ethnopharmacology. 265. 113228–113228. 20 indexed citations
14.
Lin, Ying‐Chi, et al.. (2020). Is colistin-associated acute kidney injury clinically important in adults? A systematic review and meta-analysis. International Journal of Antimicrobial Agents. 55(3). 105889–105889. 31 indexed citations
15.
Lin, Ying‐Chi, et al.. (2017). Immunomodulatory Effects of TaiwaneseNeolitseaSpecies on Th1 and Th2 Functionality. Journal of Immunology Research. 2017. 1–13. 5 indexed citations
16.
Wang, Chia‐Chi, et al.. (2017). Development of novel alternative biodiesel fuels for reducing PM emissions and PM-related genotoxicity. Environmental Research. 156. 512–518. 31 indexed citations
17.
Lin, Ying‐Chi, et al.. (2015). MiRNA and TF co-regulatory network analysis for the pathology and recurrence of myocardial infarction. Scientific Reports. 5(1). 9653–9653. 30 indexed citations
18.
Wang, Chia‐Chi, et al.. (2015). Topical simvastatin promotes healing of Staphylococcus aureus‐contaminated cutaneous wounds. International Wound Journal. 13(6). 1150–1157. 38 indexed citations
19.
Lin, Ying‐Chi, et al.. (2013). Impairment of thymocyte function via induction of apoptosis by areca nut extract. Journal of Immunotoxicology. 11(2). 190–196. 2 indexed citations
20.
Lin, Ying‐Chi & Marnie L. Peterson. (2010). New insights into the prevention of staphylococcal infections and toxic shock syndrome. Expert Review of Clinical Pharmacology. 3(6). 753–767. 38 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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