Min-Shi Lee

1.0k total citations
34 papers, 776 citations indexed

About

Min-Shi Lee is a scholar working on Infectious Diseases, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Min-Shi Lee has authored 34 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Infectious Diseases, 20 papers in Epidemiology and 14 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Min-Shi Lee's work include Viral gastroenteritis research and epidemiology (23 papers), Influenza Virus Research Studies (19 papers) and Viral Infections and Immunology Research (14 papers). Min-Shi Lee is often cited by papers focused on Viral gastroenteritis research and epidemiology (23 papers), Influenza Virus Research Studies (19 papers) and Viral Infections and Immunology Research (14 papers). Min-Shi Lee collaborates with scholars based in Taiwan, United States and Malaysia. Min-Shi Lee's co-authors include Luan‐Yin Chang, Yu-Chieh Liao, Pai-Shan Chiang, Chao A. Hsiung, Alan Yung-Chih Hu, Min‐Yuan Chia, George Kemble, Winnie Chan, Hui Liu and Kutubuddin Mahmood and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Min-Shi Lee

33 papers receiving 760 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min-Shi Lee Taiwan 15 371 365 338 256 254 34 776
Qunying Mao China 22 736 2.0× 241 0.7× 1.1k 3.4× 292 1.1× 608 2.4× 45 1.3k
Liisa Piirainen Finland 8 183 0.5× 146 0.4× 311 0.9× 131 0.5× 84 0.3× 14 514
Xiangzhong Ye China 14 163 0.4× 138 0.4× 175 0.5× 119 0.5× 95 0.4× 27 478
Jean Balanant France 16 775 2.1× 176 0.5× 866 2.6× 159 0.6× 116 0.5× 26 977
Muhannad F. Al-Kobaisi Oman 7 142 0.4× 231 0.6× 179 0.5× 83 0.3× 92 0.4× 9 459
So Hashizume Japan 15 231 0.6× 165 0.5× 227 0.7× 184 0.7× 26 0.1× 27 497
F. Horaud France 11 274 0.7× 74 0.2× 380 1.1× 181 0.7× 49 0.2× 33 518
Shengtao Fan China 15 232 0.6× 205 0.6× 130 0.4× 109 0.4× 98 0.4× 39 511
А. А. Шилов Russia 14 187 0.5× 627 1.7× 81 0.2× 207 0.8× 209 0.8× 46 776
Kersi Katrak United Kingdom 9 177 0.5× 116 0.3× 184 0.5× 102 0.4× 57 0.2× 10 458

Countries citing papers authored by Min-Shi Lee

Since Specialization
Citations

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

Fields of papers citing papers by Min-Shi Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min-Shi Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Min-Shi Lee. A scholar is included among the top collaborators of Min-Shi 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 Min-Shi Lee. Min-Shi 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.
Chia, Min‐Yuan, et al.. (2025). Development of a novel EV-A71 monoclonal antibody for monitoring vaccine potency. PLoS neglected tropical diseases. 19(6). e0013127–e0013127.
2.
Ku, Chia‐Chi, Cheng‐Yu Lin, Yu‐Chih Yang, et al.. (2024). Vaccine optimization for highly pathogenic avian influenza: Assessment of antibody responses and protection for virus-like particle vaccines in chickens. Vaccine X. 20. 100552–100552. 1 indexed citations
4.
Khanh, Truong Huu, et al.. (2020). Seroprevalence of EV-A71 neutralizing antibodies following the 2011 epidemic in HCMC, Vietnam. PLoS neglected tropical diseases. 14(3). e0008124–e0008124. 3 indexed citations
5.
Sung, Wang‐Chou, et al.. (2019). The stability and immunogenicity of inactivated MDCK cell-derived influenza H7N9 viruses. Vaccine. 37(47). 7117–7122. 8 indexed citations
6.
Tsao, Kuo‐Chien, Yhu‐Chering Huang, Yu-Chieh Liao, et al.. (2019). Genomic analysis of serologically untypable human enteroviruses in Taiwan. Journal of Biomedical Science. 26(1). 49–49. 10 indexed citations
7.
Chia, Min‐Yuan, Chun-Yang Lin, Yi‐Qi Yeh, et al.. (2019). Improving immunogenicity of influenza virus H7N9 recombinant hemagglutinin for vaccine development. Vaccine. 37(13). 1897–1903. 4 indexed citations
8.
Duong, Veasna, Philippe Dussart, David Perera, et al.. (2019). Establishment of Asia-Pacific Network for Enterovirus Surveillance. Vaccine. 38(1). 1–9. 24 indexed citations
9.
Huang, Sheng‐Yu, et al.. (2018). Application of stable isotope dimethyl labeling for MRM based absolute antigen quantification of influenza vaccine. Journal of Chromatography B. 1104. 40–48. 4 indexed citations
10.
Chia, Min‐Yuan, et al.. (2018). Development of a high-growth enterovirus 71 vaccine candidate inducing cross-reactive neutralizing antibody responses. Vaccine. 36(9). 1167–1173. 8 indexed citations
11.
Lin, Chun-Yang, Min‐Yuan Chia, Chia‐Tsui Yeh, et al.. (2017). Assessment of pathogenicity and antigenicity of American lineage influenza H5N2 viruses in Taiwan. Virology. 508. 159–163. 5 indexed citations
12.
Lee, Min-Shi, et al.. (2017). A mutation-resistant deoxyribozyme OR gate for highly selective detection of viral nucleic acids. Chemical Communications. 53(76). 10592–10595. 14 indexed citations
13.
Lee, Min-Shi, et al.. (2017). A fast and efficient purification platform for cell-based influenza viruses by flow-through chromatography. Vaccine. 36(22). 3146–3152. 32 indexed citations
14.
Chia, Min‐Yuan, et al.. (2013). Epidemiology of Enterovirus 71 Infections in Taiwan. Pediatrics & Neonatology. 55(4). 243–249. 49 indexed citations
15.
Chou, Ai‐Hsiang, Chia‐Chyi Liu, Min-Shi Lee, et al.. (2012). Pilot Scale Production of Highly Efficacious and Stable Enterovirus 71 Vaccine Candidates. PLoS ONE. 7(4). e34834–e34834. 55 indexed citations
16.
Chiang, Pai-Shan, et al.. (2009). Development of a high-throughput assay for measuring serum neutralizing antibody against enterovirus 71. Journal of Virological Methods. 165(1). 42–45. 26 indexed citations
17.
Liao, Yu-Chieh, et al.. (2009). ATIVS: analytical tool for influenza virus surveillance. Nucleic Acids Research. 37(suppl_2). W643–W646. 13 indexed citations
18.
Hu, Alan Yung-Chih, Yu-Shuan Chen, Ai‐Hsiang Chou, et al.. (2008). Microcarrier-based MDCK cell culture system for the production of influenza H5N1 vaccines. Vaccine. 26(45). 5736–5740. 41 indexed citations
19.
Lee, Min-Shi, Mengchun Chen, Yu-Chieh Liao, & Chao A. Hsiung. (2007). Identifying potential immunodominant positions and predicting antigenic variants of influenza A/H3N2 viruses. Vaccine. 25(48). 8133–8139. 33 indexed citations
20.
Jin, Hong, Helen Zhou, Hui Liu, et al.. (2005). Two residues in the hemagglutinin of A/Fujian/411/02-like influenza viruses are responsible for antigenic drift from A/Panama/2007/99. Virology. 336(1). 113–119. 93 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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