Chung‐Yu Lan

3.0k total citations
67 papers, 2.4k citations indexed

About

Chung‐Yu Lan is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Chung‐Yu Lan has authored 67 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Infectious Diseases, 31 papers in Molecular Biology and 23 papers in Epidemiology. Recurrent topics in Chung‐Yu Lan's work include Antifungal resistance and susceptibility (31 papers), Antimicrobial Peptides and Activities (17 papers) and Fungal Infections and Studies (17 papers). Chung‐Yu Lan is often cited by papers focused on Antifungal resistance and susceptibility (31 papers), Antimicrobial Peptides and Activities (17 papers) and Fungal Infections and Studies (17 papers). Chung‐Yu Lan collaborates with scholars based in Taiwan, United States and Germany. Chung‐Yu Lan's co-authors include Ming-Feng Lin, Yun-You Lin, Nina Agabian, Cheng‐Yao Yang, Luis A. Murillo, George Newport, Po‐Chen Hsu, Michele M. Igo, Ronald W. Davis and Ted Jones and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Chung‐Yu Lan

67 papers receiving 2.3k citations

Peers

Chung‐Yu Lan

EPIDE

MICRO

Kyoko Kuwahara‐Arai Japan

Nicholas P. West Australia

Paul F. Harrison Australia

Anthony R. Richardson United States

Oleg Krut Germany

M. Indriati Hood United States

Siguo Liu China

Jingmin Gu China

Vinai C. Thomas United States

Elżbieta Brzuszkiewicz Germany

Kyoko Kuwahara‐Arai Japan

Chung‐Yu Lan

1.7k ×1.6

1.6k ×1.6

336 ×0.5

EPIDE

494 ×1.2

341 ×1.0

MICRO

Citations per year, relative to Chung‐Yu Lan Chung‐Yu Lan (= 1×) peers Kyoko Kuwahara‐Arai

Countries citing papers authored by Chung‐Yu Lan

Since Specialization

Citations

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

Fields of papers citing papers by Chung‐Yu Lan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chung‐Yu Lan

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

All Works

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20 of 20 papers shown

Chen, Pei‐Chun, et al.. (2025). Roles of the lipopolysaccharide biosynthesis-related gene HP0858 in the fitness of Helicobacter pylori and its virulence in Galleria mellonella. Virulence. 16(1). 2548620–2548620. 1 indexed citations

Chang, Shang‐Hung, Jinn-Jy Lin, Donald E. Tsai, et al.. (2024). A comprehensive study of Z-DNA density and its evolutionary implications in birds. BMC Genomics. 25(1). 1123–1123. 3 indexed citations

Liao, Yu-Chieh, Feng‐Chi Chen, Feng-Jui Chen, et al.. (2024). Rapid identification of the predominant azole-resistant genotype in Candida tropicalis. FEMS Yeast Research. 24. 1 indexed citations

Chen, Hsuan‐Yu, et al.. (2024). Transcriptional profiling reveals the role of Candida albicans Rap1 in oxidative stress response. Bioscience Reports. 44(12). 1 indexed citations

Lin, Ming-Feng, Yun-You Lin, & Chung‐Yu Lan. (2020). Characterization of biofilm production in different strains of Acinetobacter baumannii and the effects of chemical compounds on biofilm formation. PeerJ. 8. e9020–e9020. 23 indexed citations

Lin, Ming-Feng, Yun-You Lin, & Chung‐Yu Lan. (2019). A method to assess influence of different medical tubing on biofilm formation by Acinetobacter baumannii. Journal of Microbiological Methods. 160. 84–86. 8 indexed citations

Lin, Ming-Feng, Yun-You Lin, & Chung‐Yu Lan. (2017). Contribution of EmrAB efflux pumps to colistin resistance in Acinetobacter baumannii. The Journal of Microbiology. 55(2). 130–136. 77 indexed citations

Lin, Ming-Feng, et al.. (2015). OmpA Binding Mediates the Effect of Antimicrobial Peptide LL-37 on Acinetobacter baumannii. PLoS ONE. 10(10). e0141107–e0141107. 30 indexed citations

Lin, Ming-Feng, et al.. (2015). Distribution of different efflux pump genes in clinical isolates of multidrug-resistant Acinetobacter baumannii and their correlation with antimicrobial resistance. Journal of Microbiology Immunology and Infection. 50(2). 224–231. 76 indexed citations

10.

Lin, Ming-Feng, Yun-You Lin, & Chung‐Yu Lan. (2014). Minimal Inhibitory Concentration (MIC) Assay for Acinetobacter baumannii. BIO-PROTOCOL. 4(23). 5 indexed citations

11.

Chuang, Yung‐Jen, et al.. (2013). Identification of Infection- and Defense-Related Genes via a Dynamic Host-Pathogen Interaction Network Using a Candida Albicans-Zebrafish Infection Model. Journal of Innate Immunity. 5(2). 137–152. 20 indexed citations

12.

Wang, Yu‐Chao, Che Lin, Wen‐Ping Hsieh, et al.. (2013). Interspecies protein-protein interaction network construction for characterization of host-pathogen interactions: a Candida albicans-zebrafish interaction study. BMC Systems Biology. 7(1). 79–79. 24 indexed citations

13.

Tsai, Pei-Wen, Yong Wang, Chia‐Hung Hsieh, et al.. (2012). Chemoattraction of macrophages by secretory molecules derived from cells expressing the signal peptide of eosinophil cationic protein. BMC Systems Biology. 6(1). 105–105. 13 indexed citations

14.

Wang, Yu‐Chao, et al.. (2010). Global screening of potential Candida albicans biofilm-related transcription factors via network comparison. BMC Bioinformatics. 11(1). 53–53. 27 indexed citations

15.

Wang, Yu‐Chao, et al.. (2010). Dynamic cross-talk analysis among TNF-R, TLR-4 and IL-1R signalings in TNFα-induced inflammatory responses. BMC Medical Genomics. 3(1). 19–19. 32 indexed citations

16.

Lan, Chung‐Yu, et al.. (2008). Transcriptional regulation of human eosinophil RNase2 by the liver‐enriched hepatocyte nuclear factor 4. Journal of Cellular Biochemistry. 106(2). 317–326. 3 indexed citations

17.

Chen, Bor‐Sen, et al.. (2008). A systems biology approach to construct the gene regulatory network of systemic inflammation via microarray and databases mining. BMC Medical Genomics. 1(1). 46–46. 37 indexed citations

18.

Lan, Chung‐Yu, et al.. (2007). Actividad fungicida sobre Candida albicans de una variante de péptido sintético derivada de una fosfolipasa A2. Revista española de quimioterapia. Suplemento. 20(3). 330–333. 16 indexed citations

19.

Lan, Chung‐Yu, Luis A. Murillo, Ted Jones, et al.. (2004). Regulatory networks affected by iron availability in Candida albicans. Molecular Microbiology. 53(5). 1451–1469. 214 indexed citations

20.

Lan, Chung‐Yu, George Newport, Luis A. Murillo, et al.. (2002). Metabolic specialization associated with phenotypic switching in Candida albicans. Proceedings of the National Academy of Sciences. 99(23). 14907–14912. 221 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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