Wen‐Ching Yi

1.0k total citations · 1 hit paper
8 papers, 746 citations indexed

About

Wen‐Ching Yi is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine. According to data from OpenAlex, Wen‐Ching Yi has authored 8 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 3 papers in Epidemiology and 3 papers in Molecular Medicine. Recurrent topics in Wen‐Ching Yi's work include Amoebic Infections and Treatments (4 papers), Antibiotic Resistance in Bacteria (3 papers) and Pneumonia and Respiratory Infections (2 papers). Wen‐Ching Yi is often cited by papers focused on Amoebic Infections and Treatments (4 papers), Antibiotic Resistance in Bacteria (3 papers) and Pneumonia and Respiratory Infections (2 papers). Wen‐Ching Yi collaborates with scholars based in Taiwan, United Kingdom and New Zealand. Wen‐Ching Yi's co-authors include Chi‐Tai Fang, Po‐Ren Hsueh, Shan‐Chwen Chang, Kao‐Lang Liu, Shengbao Lai, Nai‐Chen Cheng, Hao‐Chih Tai, S T Lai, Po‐Chi Soo and Shen‐Wu Ho and has published in prestigious journals such as Clinical Infectious Diseases, Biochemical and Biophysical Research Communications and Journal of Bacteriology.

In The Last Decade

Wen‐Ching Yi

7 papers receiving 732 citations

Hit Papers

Klebsiella pneumoniae Genotype K1: An Emerging Pathogen T... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen‐Ching Yi Taiwan 6 436 274 215 201 139 8 746
Deborah Gascoyne‐Binzi United Kingdom 16 347 0.8× 334 1.2× 367 1.7× 187 0.9× 169 1.2× 25 891
Yu‐Hui Lin Taiwan 18 179 0.4× 335 1.2× 253 1.2× 224 1.1× 204 1.5× 37 936
Shah Jalal Sweden 15 509 1.2× 136 0.5× 191 0.9× 107 0.5× 339 2.4× 24 870
Hoang Vu-Thien France 17 188 0.4× 213 0.8× 343 1.6× 255 1.3× 176 1.3× 38 772
Tse-Hsien Koh Singapore 15 465 1.1× 424 1.5× 195 0.9× 178 0.9× 265 1.9× 24 956
Marcelo de Carvalho Ramos Brazil 12 159 0.4× 405 1.5× 243 1.1× 133 0.7× 248 1.8× 30 789
Alyssa Shon United States 6 819 1.9× 204 0.7× 280 1.3× 354 1.8× 258 1.9× 7 1.0k
H. Vu Thien France 15 323 0.7× 269 1.0× 284 1.3× 204 1.0× 214 1.5× 30 899
Mikala Wang Denmark 15 234 0.5× 173 0.6× 157 0.7× 149 0.7× 146 1.1× 32 620
Evangelia Lebessi Greece 16 201 0.5× 250 0.9× 207 1.0× 92 0.5× 171 1.2× 37 625

Countries citing papers authored by Wen‐Ching Yi

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Ching Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen‐Ching Yi

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

All Works

8 of 8 papers shown
1.
Fang, Chi‐Tai, Wen‐Ching Yi, Chia‐Tung Shun, & Shih‐Feng Tsai. (2015). DNA adenine methylation modulates pathogenicity of Klebsiella pneumoniae genotype K1. Journal of Microbiology Immunology and Infection. 50(4). 471–477. 18 indexed citations
2.
Fang, Chi‐Tai, et al.. (2015). Rapid and Accurate Determination of Lipopolysaccharide O-Antigen Types in Klebsiella pneumoniae with a Novel PCR-Based O-Genotyping Method. Journal of Clinical Microbiology. 54(3). 666–675. 37 indexed citations
3.
Cheng, Nai‐Chen, Hao‐Chih Tai, Po‐Ren Hsueh, et al.. (2012). Recent Trend of Necrotizing Fasciitis in Taiwan: Focus on Monomicrobial Klebsiella pneumoniae Necrotizing Fasciitis. Clinical Infectious Diseases. 55(7). 930–939. 95 indexed citations
4.
Fang, Chi‐Tai, Shengbao Lai, Wen‐Ching Yi, et al.. (2007). Klebsiella pneumoniae Genotype K1: An Emerging Pathogen That Causes Septic Ocular or Central Nervous System Complications from Pyogenic Liver Abscess. Clinical Infectious Diseases. 45(3). 284–293. 510 indexed citations breakdown →
5.
Fang, Chi‐Tai, Shengbao Lai, Wen‐Ching Yi, et al.. (2007). Reply to Yu et al., Fung and Siu, and Lin et al. Clinical Infectious Diseases. 45(11). 1532–1533.
6.
Lai, Hsin‐Chih, Po‐Chi Soo, Jun-Rong Wei, et al.. (2005). The RssAB Two-Component Signal Transduction System in Serratia marcescens Regulates Swarming Motility and Cell Envelope Architecture in Response to Exogenous Saturated Fatty Acids. Journal of Bacteriology. 187(10). 3407–3414. 73 indexed citations
7.
Shu, Jwu‐Ching, Po‐Chi Soo, Yu‐Tze Horng, et al.. (2000). Role of <i>flhDC</i> in the Expression of the Nuclease Gene <i>nucA,</i> Cell Division and Flagellar Synthesis in <i>Serratia marcescens</i>. Journal of Biomedical Science. 7(6). 475–483. 2 indexed citations
8.
Yi, Wen‐Ching, Po‐Chi Soo, Wen‐Chung Tsai, et al.. (1998). Use of Fluorescein Labelled Antibody and Fluorescence Activated Cell Sorter for Rapid Identification ofMycobacteriumSpecies. Biochemical and Biophysical Research Communications. 250(2). 403–408. 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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