Po-Jung Huang

2.0k total citations · 1 hit paper
62 papers, 1.3k citations indexed

About

Po-Jung Huang is a scholar working on Molecular Biology, Microbiology and Parasitology. According to data from OpenAlex, Po-Jung Huang has authored 62 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 20 papers in Microbiology and 13 papers in Parasitology. Recurrent topics in Po-Jung Huang's work include Reproductive tract infections research (20 papers), Genomics and Phylogenetic Studies (15 papers) and Parasitic Infections and Diagnostics (11 papers). Po-Jung Huang is often cited by papers focused on Reproductive tract infections research (20 papers), Genomics and Phylogenetic Studies (15 papers) and Parasitic Infections and Diagnostics (11 papers). Po-Jung Huang collaborates with scholars based in Taiwan, United States and China. Po-Jung Huang's co-authors include Ping Tang, Chi‐Ching Lee, Yuan‐Ming Yeh, Hsuan Liu, Kuo‐Yang Huang, Songnian Hu, Kai‐Ping Chang, Chia‐Yu Yang, Chia‐Wei Hsu and Haiying Yu and has published in prestigious journals such as Nucleic Acids Research, Analytical Chemistry and Scientific Reports.

In The Last Decade

Po-Jung Huang

60 papers receiving 1.3k citations

Hit Papers

Oral Microbiota Community Dynamics Associated With Oral S... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Po-Jung Huang Taiwan 19 675 244 224 174 158 62 1.3k
Gaëlle Boulet Belgium 21 412 0.6× 102 0.4× 88 0.4× 39 0.2× 36 0.2× 36 1.1k
Justyna Karkowska‐Kuleta Poland 24 352 0.5× 142 0.6× 37 0.2× 213 1.2× 33 0.2× 47 1.3k
Francesca Paolini Italy 20 385 0.6× 61 0.3× 122 0.5× 26 0.1× 13 0.1× 65 1.3k
Leon N. Schulte Germany 19 953 1.4× 100 0.4× 573 2.6× 19 0.1× 33 0.2× 35 1.7k
Hanni Willenbrock Denmark 14 1.2k 1.8× 143 0.6× 343 1.5× 25 0.1× 115 0.7× 22 1.9k
J. David Carroll United States 16 511 0.8× 181 0.7× 122 0.5× 19 0.1× 88 0.6× 18 1.4k
Benjamin Hammond United States 26 478 0.7× 367 1.5× 55 0.2× 1.3k 7.3× 33 0.2× 61 2.1k
Dawn M. O’Dee United States 16 650 1.0× 55 0.2× 173 0.8× 25 0.1× 22 0.1× 21 1.0k
Eleni Dotsika Greece 21 200 0.3× 33 0.1× 73 0.3× 54 0.3× 165 1.0× 51 1.1k
Siew Woh Choo Malaysia 18 591 0.9× 23 0.1× 101 0.5× 81 0.5× 20 0.1× 69 1.1k

Countries citing papers authored by Po-Jung Huang

Since Specialization
Citations

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

Fields of papers citing papers by Po-Jung Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Po-Jung Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Po-Jung Huang. A scholar is included among the top collaborators of Po-Jung Huang 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 Po-Jung Huang. Po-Jung Huang 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.
Chen, Hui‐Wen, et al.. (2024). Imbalance in Unc80 RNA Editing Disrupts Dynamic Neuronal Activity and Olfactory Perception. International Journal of Molecular Sciences. 25(11). 5985–5985. 1 indexed citations
3.
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
5.
Tseng, Fan‐Gang, et al.. (2023). A Swiss-Roll-Type Methanol Mini-Steam Reformer for Hydrogen Generation with High Efficiency and Long-Term Durability. Micromachines. 14(10). 1845–1845. 3 indexed citations
6.
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
7.
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
9.
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
10.
Chao, Chih‐Ying, Chun‐Chieh Wang, Wen‐Lang Fan, et al.. (2021). Association of AXIN1 With Parkinson’s Disease in a Taiwanese Population. Journal of Movement Disorders. 15(1). 33–37. 1 indexed citations
11.
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
12.
Yang, Chia‐Yu, Yuan‐Ming Yeh, Haiying Yu, et al.. (2018). Oral Microbiota Community Dynamics Associated With Oral Squamous Cell Carcinoma Staging. Frontiers in Microbiology. 9. 862–862. 267 indexed citations breakdown →
13.
Chen, Ting-Wen, Kun‐Yi Chien, Wei‐Chao Liao, et al.. (2017). FunctionAnnotator, a versatile and efficient web tool for non-model organism annotation. Scientific Reports. 7(1). 28 indexed citations
14.
Chien, Kun‐Yi, Kuo‐Yang Huang, Ting-Wen Chen, et al.. (2016). Responding to a Zoonotic Emergency with Multi-omics Research: Pentatrichomonas hominis Hydrogenosomal Protein Characterization with Use of RNA Sequencing and Proteomics. OMICS A Journal of Integrative Biology. 20(11). 662–669. 13 indexed citations
15.
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
16.
Huang, Kuo‐Yang, et al.. (2015). Novel Insights into the Molecular Events Linking to Cell Death Induced by Tetracycline in the Amitochondriate Protozoan Trichomonas vaginalis. Antimicrobial Agents and Chemotherapy. 59(11). 6891–6903. 9 indexed citations
17.
Chen, Shu‐Jen, Hsuan Liu, Chun‐Ta Liao, et al.. (2015). Ultra-deep targeted sequencing of advanced oral squamous cell carcinoma identifies a mutation-based prognostic gene signature. Oncotarget. 6(20). 18066–18080. 49 indexed citations
18.
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
19.
Huang, Kuo‐Yang, et al.. (2012). Functional profiling of the Tritrichomonas foetus transcriptome and proteome. Molecular and Biochemical Parasitology. 187(1). 60–71. 17 indexed citations
20.
Lin, Wei-Chen, et al.. (2009). Malate dehydrogenase is negatively regulated by miR-1 in Trichomonas vaginalis. Parasitology Research. 105(6). 1683–1689. 18 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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