Yi-Ching Ko

513 total citations
18 papers, 354 citations indexed

About

Yi-Ching Ko is a scholar working on Parasitology, Immunology and Nephrology. According to data from OpenAlex, Yi-Ching Ko has authored 18 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Parasitology, 6 papers in Immunology and 4 papers in Nephrology. Recurrent topics in Yi-Ching Ko's work include Leptospirosis research and findings (10 papers), Immune Response and Inflammation (3 papers) and Veterinary medicine and infectious diseases (2 papers). Yi-Ching Ko is often cited by papers focused on Leptospirosis research and findings (10 papers), Immune Response and Inflammation (3 papers) and Veterinary medicine and infectious diseases (2 papers). Yi-Ching Ko collaborates with scholars based in Taiwan, United States and Switzerland. Yi-Ching Ko's co-authors include Cheng‐Chieh Hung, Chih‐Wei Yang, Hsiang‐Hao Hsu, Ya‐Chung Tian, Kuan‐Hsing Chen, Huang‐Yu Yang, Li‐Fang Chou, Ming‐Yang Chang, Cheng‐Chia Lee and Fan‐Gang Tseng and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

In The Last Decade

Yi-Ching Ko

17 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi-Ching Ko Taiwan 10 167 60 57 52 51 18 354
Xiaojing Ma China 6 34 0.2× 67 1.1× 83 1.5× 5 0.1× 20 0.4× 10 404
Sanna Kilpinen Finland 7 55 0.3× 29 0.5× 37 0.6× 2 0.0× 59 1.2× 10 314
Meghana Patel United Kingdom 4 30 0.2× 179 3.0× 24 0.4× 6 0.1× 11 0.2× 5 329
Martha A. Ballinas‐Verdugo Mexico 10 60 0.4× 61 1.0× 36 0.6× 4 0.1× 17 0.3× 24 292
T. Harris United States 8 68 0.4× 66 1.1× 7 0.1× 12 0.2× 22 0.4× 10 462
Calvin C. Wu United States 7 97 0.6× 130 2.2× 3 0.1× 8 0.2× 24 0.5× 11 354
Monica Sender Sweden 6 72 0.4× 20 0.3× 5 0.1× 4 0.1× 77 1.5× 10 464
Novella Scattolo Italy 9 40 0.2× 29 0.5× 5 0.1× 17 0.3× 11 0.2× 18 326
Gennadiy Drozdenko Germany 8 38 0.2× 40 0.7× 3 0.1× 8 0.2× 37 0.7× 8 401
Brian D. Ragland United States 9 125 0.7× 95 1.6× 9 0.2× 2 0.0× 167 3.3× 11 367

Countries citing papers authored by Yi-Ching Ko

Since Specialization
Citations

This map shows the geographic impact of Yi-Ching Ko'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 Yi-Ching Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi-Ching Ko more than expected).

Fields of papers citing papers by Yi-Ching Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi-Ching Ko. 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 Yi-Ching Ko. The network helps show where Yi-Ching Ko may publish in the future.

Co-authorship network of co-authors of Yi-Ching Ko

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

All Works

18 of 18 papers shown
1.
Tsai, Chung‐Ying, Cheng-Lung Hsu, Tzong-Shyuan Tai, et al.. (2025). Asparagine deprivation enhances T cell antitumour response in patients via ROS-mediated metabolic and signal adaptations. Nature Metabolism. 7(5). 918–927. 9 indexed citations
2.
Yang, Huang‐Yu, Chia‐Chen Chang, Chien Li, et al.. (2024). Blocking pathogenic Leptospira invasion with aptamer molecules targeting outer membrane LipL32 protein. Microbes and Infection. 26(4). 105299–105299. 1 indexed citations
3.
Gamage, Chandika D., Rohana Chandrajith, Sulochana Wijetunge, et al.. (2023). Leptospirosis: A Potential Culprit for Chronic Kidney Disease of Uncertain Etiology. ˜The œNephron journals/Nephron journals. 147(8). 510–520. 3 indexed citations
4.
Hung, Cheng‐Chieh, Kuan‐Hsing Chen, Hsiang‐Hao Hsu, et al.. (2023). Noscapine alleviates unilateral ureteral obstruction-induced inflammation and fibrosis by regulating the TGFβ1/Smads signaling pathways. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1871(1). 119594–119594. 7 indexed citations
5.
Chou, Li‐Fang, Ting-Wen Chen, Huang‐Yu Yang, et al.. (2022). Implication of the IL-10-Expression Signature in the Pathogenicity of Leptospira -Infected Macrophages. Microbiology Spectrum. 10(3). e0259521–e0259521. 3 indexed citations
6.
Tseng, Chi‐Shin, et al.. (2019). Enhanced early immune response of leptospiral outer membrane protein LipL32 stimulated by narrow band mid-infrared exposure. Journal of Photochemistry and Photobiology B Biology. 198. 111560–111560. 5 indexed citations
7.
Chen, Ting‐Hsuan, et al.. (2018). A Microfluidic Platform for Investigating Transmembrane Pressure-Induced Glomerular Leakage. Micromachines. 9(5). 228–228. 8 indexed citations
8.
Hung, Cheng‐Chieh, Ming‐Yang Chang, Yi-Ching Ko, et al.. (2017). Active Components of Leptospira Outer Membrane Protein LipL32 to Toll-Like Receptor 2. Scientific Reports. 7(1). 8363–8363. 20 indexed citations
9.
Chang, Kuo‐Wei, Chih‐Wei Yang, Cheng‐Chieh Hung, et al.. (2017). Microfluidic chip of immunoassay system for kidney studies. 13. 1746–1749.
10.
Chen, Kuan‐Hsing, Hsiang‐Hao Hsu, Huang‐Yu Yang, et al.. (2016). Inhibition of spleen tyrosine kinase (syk) suppresses renal fibrosis through anti-inflammatory effects and down regulation of the MAPK-p38 pathway. The International Journal of Biochemistry & Cell Biology. 74. 135–144. 23 indexed citations
11.
Yang, Huang‐Yu, Cheng‐Chieh Hung, Su‐Hsun Liu, et al.. (2015). Overlooked Risk for Chronic Kidney Disease after Leptospiral Infection: A Population-Based Survey and Epidemiological Cohort Evidence. PLoS neglected tropical diseases. 9(10). e0004105–e0004105. 65 indexed citations
12.
Chen, Kuan‐Hsing, Hsiang‐Hao Hsu, Cheng‐Chia Lee, et al.. (2014). The AMPK Agonist AICAR Inhibits TGF-β1 Induced Activation of Kidney Myofibroblasts. PLoS ONE. 9(9). e106554–e106554. 61 indexed citations
13.
Chang, Yuan‐Chih, et al.. (2013). LipL41, a Hemin Binding Protein from Leptospira santarosai serovar Shermani. PLoS ONE. 8(12). e83246–e83246. 21 indexed citations
14.
Ko, Yi-Ching, Cheng‐Chieh Hung, Ming‐Yang Chang, et al.. (2013). Essential Calcium-binding Cluster of Leptospira LipL32 Protein for Inflammatory Responses through the Toll-like Receptor 2 Pathway. Journal of Biological Chemistry. 288(17). 12335–12344. 28 indexed citations
15.
Chou, Li‐Fang, Chia‐Wei Lu, Yi-Ching Ko, et al.. (2012). Sequence of Leptospira santarosai serovar Shermani genome and prediction of virulence-associated genes. Gene. 511(2). 364–370. 29 indexed citations
16.
Tung, Jung-Yu, Yi-Ching Ko, Yuh‐Ju Sun, et al.. (2010). Leptospiral Outer Membrane Lipoprotein LipL32 Binding on Toll-like Receptor 2 of Renal Cells As Determined with an Atomic Force Microscope. Biochemistry. 49(26). 5408–5417. 30 indexed citations
17.
Lin, Hung-Ching, et al.. (2009). High-dose intratympanic gentamicin instillations for treatment of Meniere's disease: long-term results. Acta Oto-Laryngologica. 129(12). 1420–1424. 9 indexed citations
18.
Yu, Chun‐Chen, et al.. (2001). Mycophenolate mofetil reduces renal cortical inducible nitric oxide synthase mRNA expression and diminishes glomerulosclerosis in MRL/lpr mice. Journal of Laboratory and Clinical Medicine. 138(1). 69–77. 32 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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