Kuo-Ming Lee

1.4k total citations
30 papers, 927 citations indexed

About

Kuo-Ming Lee is a scholar working on Molecular Biology, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kuo-Ming Lee has authored 30 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Infectious Diseases and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kuo-Ming Lee's work include RNA Research and Splicing (12 papers), Viral Infections and Immunology Research (10 papers) and RNA and protein synthesis mechanisms (10 papers). Kuo-Ming Lee is often cited by papers focused on RNA Research and Splicing (12 papers), Viral Infections and Immunology Research (10 papers) and RNA and protein synthesis mechanisms (10 papers). Kuo-Ming Lee collaborates with scholars based in Taiwan, United States and Netherlands. Kuo-Ming Lee's co-authors include Shin‐Ru Shih, Woan‐Yuh Tarn, Chi-Jene Chen, Yu‐Nong Gong, Iawen Hsu, Chi‐Chung Chou, Jyh‐Myng Zen, Thomas W. Vickroy, Cheng‐Teng Hsu and Chung‐Guei Huang and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Molecular Cell.

In The Last Decade

Kuo-Ming Lee

29 papers receiving 912 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuo-Ming Lee Taiwan 17 507 328 234 117 105 30 927
Marne C. Hagemeijer Netherlands 12 359 0.7× 628 1.9× 151 0.6× 167 1.4× 260 2.5× 20 1.1k
Christian Castro United States 14 634 1.3× 371 1.1× 303 1.3× 295 2.5× 79 0.8× 23 1.2k
Hanjun Zhao Hong Kong 15 406 0.8× 457 1.4× 53 0.2× 311 2.7× 40 0.4× 31 1.0k
Yunzhang Hu China 16 310 0.6× 185 0.6× 54 0.2× 73 0.6× 48 0.5× 45 592
Gary Ewart Australia 15 477 0.9× 702 2.1× 129 0.6× 331 2.8× 230 2.2× 24 1.4k
Muhan Huang China 8 447 0.9× 458 1.4× 42 0.2× 94 0.8× 73 0.7× 14 884
Selena M. Sagan Canada 22 850 1.7× 478 1.5× 127 0.5× 394 3.4× 130 1.2× 61 1.8k
Ralf Bartenschlager Germany 7 248 0.5× 333 1.0× 64 0.3× 261 2.2× 46 0.4× 9 813
Hadas Tamir Israel 10 625 1.2× 530 1.6× 83 0.4× 335 2.9× 95 0.9× 19 1.2k
Ofir Israeli Israel 13 600 1.2× 350 1.1× 47 0.2× 333 2.8× 65 0.6× 52 1.1k

Countries citing papers authored by Kuo-Ming Lee

Since Specialization
Citations

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

Fields of papers citing papers by Kuo-Ming Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuo-Ming 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 Kuo-Ming Lee. The network helps show where Kuo-Ming Lee may publish in the future.

Co-authorship network of co-authors of Kuo-Ming Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Kuo-Ming Lee. A scholar is included among the top collaborators of Kuo-Ming 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 Kuo-Ming Lee. Kuo-Ming 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.
Lee, Kuo-Ming, et al.. (2023). Race with virus evolution: The development and application of mRNA vaccines against SARS-CoV-2. Biomedical Journal. 46(1). 70–80. 7 indexed citations
2.
Kung, Yu-An, et al.. (2022). Molecular Virology of SARS-CoV-2 and Related Coronaviruses. Microbiology and Molecular Biology Reviews. 86(2). e0002621–e0002621. 25 indexed citations
3.
Gong, Yu‐Nong, Kuo-Ming Lee, & Shin‐Ru Shih. (2022). Evolution and Epidemiology of SARS-CoV-2 Virus. Methods in molecular biology. 2452. 3–18. 1 indexed citations
4.
Huang, Sheng‐Yu, Yu-An Kung, Peng-Nien Huang, et al.. (2021). Stability of SARS-CoV-2 Spike G614 Variant Surpasses That of the D614 Variant after Cold Storage. mSphere. 6(2). 18 indexed citations
5.
Janissen, Richard, Andrew Woodman, Djoshkun Shengjuler, et al.. (2021). Induced intra- and intermolecular template switching as a therapeutic mechanism against RNA viruses. Molecular Cell. 81(21). 4467–4480.e7. 13 indexed citations
6.
Huang, Chung‐Guei, Kuo-Ming Lee, Peng-Nien Huang, et al.. (2020). Culture-Based Virus Isolation To Evaluate Potential Infectivity of Clinical Specimens Tested for COVID-19. Journal of Clinical Microbiology. 58(8). 96 indexed citations
7.
Gong, Yu‐Nong, Kuo‐Chien Tsao, Chung‐Guei Huang, et al.. (2020). SARS-CoV-2 genomic surveillance in Taiwan revealed novel ORF8-deletion mutant and clade possibly associated with infections in Middle East. Emerging Microbes & Infections. 9(1). 1457–1466. 83 indexed citations
8.
Lee, Kuo-Ming, et al.. (2020). Enterovirus and Encephalitis. Frontiers in Microbiology. 11. 261–261. 76 indexed citations
9.
Lu, Chia‐Chen, et al.. (2019). The RNA Processing Factor Y14 Participates in DNA Damage Response and Repair. iScience. 13. 402–415. 14 indexed citations
10.
Lee, Kuo-Ming, Yu‐Nong Gong, & Shin‐Ru Shih. (2019). Methods for detection and study of virus-derived small RNAs produced from the intramolecular base-pairing region of the picornavirus genome. Methods. 183. 4–12. 7 indexed citations
11.
Woodman, Andrew, Kuo-Ming Lee, Richard Janissen, et al.. (2018). Predicting Intraserotypic Recombination in Enterovirus 71. Journal of Virology. 93(4). 34 indexed citations
12.
Lee, Kuo-Ming, Chi-Jene Chen, & Shin‐Ru Shih. (2017). Regulation Mechanisms of Viral IRES-Driven Translation. Trends in Microbiology. 25(7). 546–561. 126 indexed citations
13.
Hung, Chuan-Tien, Yu-An Kung, Meiling Li, et al.. (2016). Additive Promotion of Viral Internal Ribosome Entry Site-Mediated Translation by Far Upstream Element-Binding Protein 1 and an Enterovirus 71-Induced Cleavage Product. PLoS Pathogens. 12(10). e1005959–e1005959. 36 indexed citations
14.
Lee, Kuo-Ming, et al.. (2016). A Point Mutation in the Exon Junction Complex Factor Y14 Disrupts Its Function in mRNA Cap Binding and Translation Enhancement. Journal of Biological Chemistry. 291(16). 8565–8574. 13 indexed citations
15.
Lee, Kuo-Ming & Woan‐Yuh Tarn. (2014). TRAP150 activates splicing in composite terminal exons. Nucleic Acids Research. 42(20). 12822–12832. 8 indexed citations
16.
Chang, Wei‐Lun, et al.. (2012). The RNA-binding protein Y14 inhibits mRNA decapping and modulates processing body formation. Molecular Biology of the Cell. 24(1). 1–13. 42 indexed citations
17.
Lee, Kuo-Ming, Iawen Hsu, & Woan‐Yuh Tarn. (2010). TRAP150 activates pre-mRNA splicing and promotes nuclear mRNA degradation. Nucleic Acids Research. 38(10). 3340–3350. 61 indexed citations
18.
Lee, Kuo-Ming, et al.. (2009). The influence of liposomal adjuvant on intranasal vaccination of chickens against Newcastle disease. The Veterinary Journal. 185(2). 204–210. 17 indexed citations
19.
Tsai, Yi‐Tzang, et al.. (2008). Chromatin tethering effects of hNopp140 are involved in the spatial organization of nucleolus and the rRNA gene transcription. Journal of Biomedical Science. 15(4). 471–486. 22 indexed citations
20.
Chou, Chi‐Chung, et al.. (2006). Fast differentiation of meats from fifteen animal species by liquid chromatography with electrochemical detection using copper nanoparticle plated electrodes. Journal of Chromatography B. 846(1-2). 230–239. 75 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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