Jung-Hsiang Tai

753 total citations
29 papers, 641 citations indexed

About

Jung-Hsiang Tai is a scholar working on Molecular Biology, Parasitology and Microbiology. According to data from OpenAlex, Jung-Hsiang Tai has authored 29 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Parasitology and 7 papers in Microbiology. Recurrent topics in Jung-Hsiang Tai's work include Parasitic Infections and Diagnostics (12 papers), Signaling Pathways in Disease (7 papers) and Reproductive tract infections research (7 papers). Jung-Hsiang Tai is often cited by papers focused on Parasitic Infections and Diagnostics (12 papers), Signaling Pathways in Disease (7 papers) and Reproductive tract infections research (7 papers). Jung-Hsiang Tai collaborates with scholars based in Taiwan, United States and Uganda. Jung-Hsiang Tai's co-authors include Chin‐Hung Sun, Shiou-Jeng Ong, Hong‐Ming Hsu, Shu‐Hui Chen, Irina Bessarab, Yen-Wen Chen, Ming‐Chun Lee, Chinpan Chen, Shu‐Yi Wei and Yu Zhao Lee and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Analytical Chemistry.

In The Last Decade

Jung-Hsiang Tai

29 papers receiving 636 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jung-Hsiang Tai Taiwan 14 289 247 223 115 102 29 641
Antonio Pereira‐Neves Brazil 15 169 0.6× 166 0.7× 277 1.2× 87 0.8× 99 1.0× 29 571
Augusto Simões-Barbosa New Zealand 16 151 0.5× 210 0.9× 266 1.2× 130 1.1× 74 0.7× 33 545
Deborah M. B. Post United States 16 31 0.1× 344 1.4× 337 1.5× 152 1.3× 70 0.7× 22 776
Benjamin B. A. Raymond Australia 18 43 0.1× 179 0.7× 576 2.6× 172 1.5× 32 0.3× 27 835
José Batista de Jesus Brazil 16 152 0.5× 223 0.9× 159 0.7× 268 2.3× 60 0.6× 36 665
Lisa M. Seymour Australia 10 33 0.1× 96 0.4× 307 1.4× 171 1.5× 60 0.6× 11 541
Ousmane H. Cissé United States 17 58 0.2× 209 0.8× 190 0.9× 394 3.4× 288 2.8× 56 871
L. Papazisi United States 10 37 0.1× 158 0.6× 480 2.2× 151 1.3× 74 0.7× 12 658
Maxime Québatte Switzerland 14 223 0.8× 216 0.9× 14 0.1× 32 0.3× 126 1.2× 18 605
Marc Breton France 10 44 0.2× 239 1.0× 171 0.8× 261 2.3× 80 0.8× 13 640

Countries citing papers authored by Jung-Hsiang Tai

Since Specialization
Citations

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

Fields of papers citing papers by Jung-Hsiang Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jung-Hsiang Tai. 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 Jung-Hsiang Tai. The network helps show where Jung-Hsiang Tai may publish in the future.

Co-authorship network of co-authors of Jung-Hsiang Tai

This figure shows the co-authorship network connecting the top 25 collaborators of Jung-Hsiang Tai. A scholar is included among the top collaborators of Jung-Hsiang Tai 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 Jung-Hsiang Tai. Jung-Hsiang Tai 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.
Hsu, Hong‐Ming, Yu‐Hsin Huang, Shi‐Bing Yang, et al.. (2023). Distinct features of the host-parasite interactions between nonadherent and adherent Trichomonas vaginalis isolates. PLoS neglected tropical diseases. 17(1). e0011016–e0011016. 5 indexed citations
2.
Hsu, Hong‐Ming, et al.. (2020). Endomembrane Protein Trafficking Regulated by a TvCyP2 Cyclophilin in the Protozoan Parasite, Trichomonas vaginalis. Scientific Reports. 10(1). 1275–1275. 13 indexed citations
3.
Lou, Yuan‐Chao, et al.. (2017). 1H, 13C and 15N resonance assignments and secondary structures of cyclophilin 2 from Trichomonas vaginalis. Biomolecular NMR Assignments. 12(1). 27–30. 1 indexed citations
4.
Cheng, Juei‐Tang, et al.. (2016). Site-specific covalent modifications of human insulin by catechol estrogens: Reactivity and induced structural and functional changes. Scientific Reports. 6(1). 28804–28804. 20 indexed citations
5.
Hsu, Hong‐Ming, Yating Wang, Yu Zhao Lee, et al.. (2014). Regulation of Nuclear Translocation of the Myb1 Transcription Factor by TvCyclophilin 1 in the Protozoan Parasite Trichomonas vaginalis. Journal of Biological Chemistry. 289(27). 19120–19136. 13 indexed citations
6.
Hsu, Hong‐Ming, Yu Zhao Lee, Pang‐Hung Hsu, et al.. (2014). Signal Transduction Triggered by Iron to Induce the Nuclear Importation of a Myb3 Transcription Factor in the Parasitic Protozoan Trichomonas vaginalis. Journal of Biological Chemistry. 289(42). 29334–29349. 9 indexed citations
7.
Hsu, Hong‐Ming, Yu Zhao Lee, Shu‐Yi Wei, et al.. (2012). Iron-Inducible Nuclear Translocation of a Myb3 Transcription Factor in the Protozoan Parasite Trichomonas vaginalis. Eukaryotic Cell. 11(12). 1441–1450. 11 indexed citations
8.
Hsu, Hong‐Ming, Shu‐Yi Wei, Yu Zhao Lee, et al.. (2011). A Highly Organized Structure Mediating Nuclear Localization of a Myb2 Transcription Factor in the Protozoan Parasite Trichomonas vaginalis. Eukaryotic Cell. 10(12). 1607–1617. 7 indexed citations
9.
10.
Jiang, Ingjye, Chi‐Fon Chang, Wen‐Jin Wu, et al.. (2011). Molecular basis of the recognition of the ap65-1 gene transcription promoter elements by a Myb protein from the protozoan parasite Trichomonas vaginalis. Nucleic Acids Research. 39(20). 8992–9008. 20 indexed citations
11.
Bessarab, Irina, et al.. (2010). Identification and characterization of a type III Trichomonas vaginalis virus in the protozoan pathogen Trichomonas vaginalis. Archives of Virology. 156(2). 285–294. 25 indexed citations
12.
Ong, Shiou-Jeng, et al.. (2007). Activation of Multifarious Transcription of an Adhesion Protein ap65-1 Gene by a Novel Myb2 Protein in the Protozoan Parasite Trichomonas vaginalis. Journal of Biological Chemistry. 282(9). 6716–6725. 36 indexed citations
13.
Bessarab, Irina, et al.. (2000). The Complete cDNA Sequence of a Type II Trichomonas vaginalis Virus. Virology. 267(2). 350–359. 35 indexed citations
14.
Sun, Chin‐Hung & Jung-Hsiang Tai. (1999). Identification and Characterization of a ran Gene Promoter in the Protozoan Pathogen Giardia lamblia. Journal of Biological Chemistry. 274(28). 19699–19706. 47 indexed citations
15.
Sun, Chin‐Hung, et al.. (1998). Stable DNA transfection of the primitive protozoan pathogen Giardia lamblia. Molecular and Biochemical Parasitology. 92(1). 123–132. 51 indexed citations
16.
Tai, Jung-Hsiang, et al.. (1996). Genomic Organization and Sequence Conservation in Type ITrichomonas vaginalisViruses. Virology. 222(2). 470–473. 24 indexed citations
17.
Tai, Jung-Hsiang, et al.. (1996). Separation and Characterization of Two Related Giardiaviruses in the Parasitic ProtozoanGiardia lamblia. Virology. 216(1). 124–132. 8 indexed citations
18.
Tai, Jung-Hsiang, et al.. (1995). The cDNA sequence of Trichomonas vaginalis virus-T1 double-stranded RNA. Virology. 206(1). 773–776. 38 indexed citations
19.
20.
Tai, Jung-Hsiang, et al.. (1991). The course of giardiavirus infection in the Giardia lamblia trophozoites. Experimental Parasitology. 73(4). 413–423. 11 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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