Chi‐Ching Lee

975 total citations
40 papers, 538 citations indexed

About

Chi‐Ching Lee is a scholar working on Molecular Biology, Microbiology and Cancer Research. According to data from OpenAlex, Chi‐Ching Lee has authored 40 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 10 papers in Microbiology and 9 papers in Cancer Research. Recurrent topics in Chi‐Ching Lee's work include Genomics and Phylogenetic Studies (14 papers), Reproductive tract infections research (10 papers) and Genomics and Rare Diseases (6 papers). Chi‐Ching Lee is often cited by papers focused on Genomics and Phylogenetic Studies (14 papers), Reproductive tract infections research (10 papers) and Genomics and Rare Diseases (6 papers). Chi‐Ching Lee collaborates with scholars based in Taiwan, United States and Australia. Chi‐Ching Lee's co-authors include Po-Jung Huang, Ping Tang, Yuan‐Ming Yeh, Ian Yi‐Feng Chang, Ting-Wen Chen, Chia-Yu Yang, Ping-Chiang Lyu, Kuo‐Yang Huang, Yi‐Chung Liu and Wei-Chen Lin and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Analytical Chemistry.

In The Last Decade

Chi‐Ching Lee

38 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chi‐Ching Lee Taiwan 12 332 151 73 50 44 40 538
Ramneek Verma India 11 280 0.8× 186 1.2× 23 0.3× 61 1.2× 26 0.6× 45 491
Aashish Srivastava Norway 14 298 0.9× 160 1.1× 35 0.5× 21 0.4× 11 0.3× 29 497
Alfonso Méndez-Tenorio Mexico 14 225 0.7× 32 0.2× 34 0.5× 122 2.4× 50 1.1× 53 599
Anjali Dhall India 16 588 1.8× 43 0.3× 93 1.3× 60 1.2× 33 0.8× 38 786
Dongyu Liu China 4 220 0.7× 41 0.3× 28 0.4× 100 2.0× 35 0.8× 7 707
Zehui Lei China 11 283 0.9× 50 0.3× 20 0.3× 119 2.4× 50 1.1× 20 478
Ryan G. Gaudet Canada 10 185 0.6× 37 0.2× 46 0.6× 96 1.9× 23 0.5× 11 564
D T Golenbock United States 8 199 0.6× 79 0.5× 80 1.1× 102 2.0× 23 0.5× 13 625
Cécile Paroz Switzerland 10 236 0.7× 60 0.4× 112 1.5× 139 2.8× 11 0.3× 10 719
Huaijie Hao China 17 246 0.7× 70 0.5× 52 0.7× 95 1.9× 62 1.4× 33 650

Countries citing papers authored by Chi‐Ching Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chi‐Ching Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chi‐Ching Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Chi‐Ching Lee. A scholar is included among the top collaborators of Chi‐Ching Lee 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 Chi‐Ching Lee. Chi‐Ching Lee 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.
Cheng, Wei-Hung, et al.. (2024). Interaction of human neutrophils with Trichomonas vaginalis protozoan highlights lactoferrin secretion. Journal of Microbiology Immunology and Infection. 58(1). 138–147. 1 indexed citations
2.
Huang, Po-Jung, Kuo‐Yang Huang, Chi‐Ching Lee, et al.. (2024). ProFun: A web server for functional enrichment analysis of parasitic protozoan genes. Journal of Microbiology Immunology and Infection. 57(3). 509–517. 1 indexed citations
3.
Cheng, Wei-Hung, Po-Jung Huang, Chi‐Ching Lee, et al.. (2024). The core exosome proteome of Trichomonas vaginalis. Journal of Microbiology Immunology and Infection. 57(2). 246–256. 4 indexed citations
4.
Lee, Chi‐Ching, Chi Yang, Lichieh Julie Chu, et al.. (2023). HeapMS: An Automatic Peak-Picking Pipeline for Targeted Proteomic Data Powered by 2D Heatmap Transformation and Convolutional Neural Networks. Analytical Chemistry. 95(42). 15486–15496. 3 indexed citations
5.
Cheng, Wei-Hung, Po-Jung Huang, Chi‐Ching Lee, et al.. (2023). Metabolomics analysis reveals changes related to pseudocyst formation induced by iron depletion in Trichomonas vaginalis. Parasites & Vectors. 16(1). 226–226. 2 indexed citations
6.
Cheng, Wei-Hung, Po-Jung Huang, Chi‐Ching Lee, et al.. (2022). Identification of Endosymbiotic Virus in Small Extracellular Vesicles Derived from Trichomonas vaginalis. Genes. 13(3). 531–531. 12 indexed citations
7.
Liu, Yen‐Yi, et al.. (2022). LmTraceMap: A Listeria monocytogenes fast-tracing platform for global surveillance. PLoS ONE. 17(5). e0267972–e0267972. 4 indexed citations
8.
Huang, Po-Jung, Wei-Hung Cheng, Lichieh Julie Chu, et al.. (2021). Vaginal Microbiota of the Sexually Transmitted Infections Caused by Chlamydia trachomatis and Trichomonas vaginalis in Women with Vaginitis in Taiwan. Microorganisms. 9(9). 1864–1864. 21 indexed citations
10.
Lee, Chi‐Ching, Po-Jung Huang, Yuan‐Ming Yeh, et al.. (2021). Helminth egg analysis platform (HEAP): An opened platform for microscopic helminth egg identification and quantification based on the integration of deep learning architectures. Journal of Microbiology Immunology and Infection. 55(3). 395–404. 18 indexed citations
11.
Cheng, Wei-Hung, Kuo‐Yang Huang, Po-Jung Huang, et al.. (2020). Protein cysteine S-nitrosylation provides reducing power by enhancing lactate dehydrogenase activity in Trichomonas vaginalis under iron deficiency. Parasites & Vectors. 13(1). 477–477. 7 indexed citations
12.
Huang, Po-Jung, Chi‐Ching Lee, Yuan‐Ming Yeh, et al.. (2017). mSignatureDB: a database for deciphering mutational signatures in human cancers. Nucleic Acids Research. 46(D1). D964–D970. 38 indexed citations
13.
Sablok, Gaurav, Ting-Wen Chen, Chi‐Ching Lee, et al.. (2016). ChloroMitoCU: Codon patterns across organelle genomes for functional genomics and evolutionary applications. DNA Research. 24(3). 327–332. 2 indexed citations
14.
Chen, Ting-Wen, Ian Yi‐Feng Chang, Wei‐Chao Liao, et al.. (2015). Is the whole greater than the sum of its parts? De novo assembly strategies for bacterial genomes based on paired-end sequencing. BMC Genomics. 16(1). 648–648. 8 indexed citations
15.
Chen, Ting-Wen, Chi‐Ching Lee, Po-Jung Huang, et al.. (2014). ChIPseek, a web-based analysis tool for ChIP data. BMC Genomics. 15(1). 539–539. 54 indexed citations
16.
Huang, Po-Jung, Yuan‐Ming Yeh, Chi‐Ching Lee, et al.. (2013). CPAP: Cancer Panel Analysis Pipeline. Human Mutation. 34(10). 1340–1346. 3 indexed citations
17.
Lee, Chi‐Ching, et al.. (2013). GI-POP: A combinational annotation and genomic island prediction pipeline for ongoing microbial genome projects. Gene. 518(1). 114–123. 12 indexed citations
18.
Lee, Chi‐Ching, et al.. (2012). Proteome reference map of Drosophila melanogaster head. PROTEOMICS. 12(11). 1875–1878. 2 indexed citations
19.
Lee, Chi‐Ching, et al.. (2012). Metabolic classification of microbial genomes using functional probes. BMC Genomics. 13(1). 157–157. 6 indexed citations
20.
Huang, Po-Jung, Yi‐Chung Liu, Chi‐Ching Lee, et al.. (2010). DSAP: deep-sequencing small RNA analysis pipeline. Nucleic Acids Research. 38(suppl_2). W385–W391. 71 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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