Ming‐Tsan Liu

2.1k total citations
73 papers, 1.6k citations indexed

About

Ming‐Tsan Liu is a scholar working on Epidemiology, Infectious Diseases and Agronomy and Crop Science. According to data from OpenAlex, Ming‐Tsan Liu has authored 73 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Epidemiology, 27 papers in Infectious Diseases and 14 papers in Agronomy and Crop Science. Recurrent topics in Ming‐Tsan Liu's work include Influenza Virus Research Studies (39 papers), Respiratory viral infections research (31 papers) and Animal Disease Management and Epidemiology (14 papers). Ming‐Tsan Liu is often cited by papers focused on Influenza Virus Research Studies (39 papers), Respiratory viral infections research (31 papers) and Animal Disease Management and Epidemiology (14 papers). Ming‐Tsan Liu collaborates with scholars based in Taiwan, United States and South Korea. Ming‐Tsan Liu's co-authors include Ji‐Rong Yang, Ho-Sheng Wu, Jen‐Yang Chen, Yu‐Ting Chang, Yiren Chen, Feng‐Yee Chang, Li‐Ching Hsu, Chang‐Shen Lin, Shu‐Chuan Chen and Yu‐Chih Yang and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Ming‐Tsan Liu

71 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming‐Tsan Liu Taiwan 22 1.0k 585 322 275 254 73 1.6k
Rachelle Salomon United States 17 1.8k 1.7× 589 1.0× 470 1.5× 349 1.3× 523 2.1× 20 3.1k
Victoria S. Carter United States 16 784 0.8× 460 0.8× 454 1.4× 102 0.4× 102 0.4× 18 1.7k
Bobo Wing-Yee Mok Hong Kong 22 425 0.4× 697 1.2× 451 1.4× 74 0.3× 102 0.4× 34 1.5k
Lucy A. Perrone United States 15 1.5k 1.5× 745 1.3× 326 1.0× 62 0.2× 338 1.3× 33 2.3k
Ruth Rappaport United States 24 1.1k 1.1× 650 1.1× 275 0.9× 76 0.3× 69 0.3× 44 2.1k
Zhongfang Wang China 20 598 0.6× 493 0.8× 242 0.8× 69 0.3× 105 0.4× 78 1.4k
Olivia Perwitasari United States 14 820 0.8× 612 1.0× 554 1.7× 125 0.5× 104 0.4× 15 1.9k
Rachael Keating United States 15 810 0.8× 210 0.4× 251 0.8× 204 0.7× 95 0.4× 18 1.8k
Jerry R. Aldridge United States 16 1.1k 1.1× 455 0.8× 728 2.3× 69 0.3× 234 0.9× 20 2.2k
Kenny Roose Belgium 25 903 0.9× 711 1.2× 958 3.0× 115 0.4× 54 0.2× 37 2.3k

Countries citing papers authored by Ming‐Tsan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Tsan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Tsan Liu. 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 Ming‐Tsan Liu. The network helps show where Ming‐Tsan Liu may publish in the future.

Co-authorship network of co-authors of Ming‐Tsan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Tsan Liu. A scholar is included among the top collaborators of Ming‐Tsan Liu 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 Ming‐Tsan Liu. Ming‐Tsan Liu 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.
Li, Yao‐Tsun, Joseph Hughes, Ming‐Tsan Liu, et al.. (2024). From emergence to endemicity of highly pathogenic H5 avian influenza viruses in Taiwan. Nature Communications. 15(1). 9348–9348. 2 indexed citations
2.
Liu, Ming‐Tsan, et al.. (2023). Genetic Characteristics of Measles Viruses Isolated in Taiwan between 2015 and 2020. Viruses. 15(1). 211–211. 2 indexed citations
3.
Lee, Chang‐Chun D., Yasunori Watanabe, Nicholas C. Wu, et al.. (2021). A cross-neutralizing antibody between HIV-1 and influenza virus. PLoS Pathogens. 17(3). e1009407–e1009407. 23 indexed citations
4.
Liu, Ming‐Tsan, et al.. (2020). Toxic epidermal necrolysis induced by human herpesvirus 7 treated with a tumor necrosis factor‐α inhibitor. The Journal of Dermatology. 47(10). 1179–1181. 10 indexed citations
5.
Yang, Ji‐Rong, et al.. (2020). Building the National SARS-CoV-2 Laboratory Diagnostic Capacity in Taiwan. Health Security. 18(5). 383–391. 11 indexed citations
6.
Yang, Ji‐Rong, et al.. (2019). Seasonal dynamics of influenza viruses and age distribution of infected individuals across nine seasons covering 2009–2018 in Taiwan. Journal of the Formosan Medical Association. 119(4). 850–860. 6 indexed citations
7.
Huang, Hsin-I, et al.. (2019). Measles transmission at an international airport — Taiwan, March–April 2018. International Journal of Infectious Diseases. 86. 188–190. 6 indexed citations
8.
Yang, Ji‐Rong, Hwa‐Jen Teng, Ming‐Tsan Liu, & Shuying Li. (2017). Taiwan's Public Health National Laboratory System: Success in Influenza Diagnosis and Surveillance. Health Security. 15(2). 154–164. 13 indexed citations
9.
Yang, Ji‐Rong, et al.. (2017). An epidemic surge of influenza A(H3N2) virus at the end of the 2016–2017 season in Taiwan with an increased viral genetic heterogeneity. Journal of Clinical Virology. 99-100. 15–21. 14 indexed citations
10.
Yang, Ji‐Rong & Ming‐Tsan Liu. (2017). Human infection caused by an avian influenza A (H7N9) virus with a polybasic cleavage site in Taiwan, 2017. Journal of the Formosan Medical Association. 116(3). 210–212. 27 indexed citations
11.
Yang, Ji‐Rong, Chih‐Yuan Chen, Min-Shiuh Lee, et al.. (2015). A novel H6N1 virus-like particle vaccine induces long-lasting cross-clade antibody immunity against human and avian H6N1 viruses. Antiviral Research. 126. 8–17. 9 indexed citations
12.
Yang, Ji‐Rong, et al.. (2015). Characterization of Influenza A (H7N9) Viruses Isolated from Human Cases Imported into Taiwan. PLoS ONE. 10(3). e0119792–e0119792. 14 indexed citations
13.
Marjuki, Henju, Vasiliy P. Mishin, Anton Chesnokov, et al.. (2014). Characterization of Drug-Resistant Influenza A(H7N9) Variants Isolated From an Oseltamivir-Treated Patient in Taiwan. The Journal of Infectious Diseases. 211(2). 249–257. 66 indexed citations
14.
Liu, Ming‐Tsan, et al.. (2013). Molecular epidemiology of measles virus in Taiwan in 2010–2011: The common genotype changed from H1 to D9 and the first appearance of D4. Journal of Medical Virology. 85(6). 1095–1099. 9 indexed citations
15.
16.
Yeh, Yi‐Chun, et al.. (2010). Mammalian Expression of Virus-Like Particles for Advanced Mimicry of Authentic Influenza Virus. PLoS ONE. 5(3). e9784–e9784. 87 indexed citations
17.
Yang, Ji‐Rong, et al.. (2010). Early findings of oseltamivir-resistant pandemic (H1N1) 2009 influenza A viruses in Taiwan. Antiviral Research. 88(3). 256–262. 24 indexed citations
18.
Shao, Pei‐Lan, Ming‐Tsan Liu, Ding‐Ping Liu, et al.. (2010). Low Seroprotection against Preseasonal Influenza Local Strains in Children Might Predict the Upcoming Epidemic Influenza Strains. Clinical Infectious Diseases. 51(2). 171–176. 4 indexed citations
19.
20.
Liu, Ming‐Tsan, et al.. (1998). Distinct Regions of EBV DNase Are Required for Nuclease and DNA Binding Activities. Virology. 242(1). 6–13. 7 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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