Hung Tai

744 total citations
9 papers, 613 citations indexed

About

Hung Tai is a scholar working on Epidemiology, Agronomy and Crop Science and Nephrology. According to data from OpenAlex, Hung Tai has authored 9 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 3 papers in Agronomy and Crop Science and 1 paper in Nephrology. Recurrent topics in Hung Tai's work include Influenza Virus Research Studies (6 papers), Respiratory viral infections research (5 papers) and Animal Disease Management and Epidemiology (3 papers). Hung Tai is often cited by papers focused on Influenza Virus Research Studies (6 papers), Respiratory viral infections research (5 papers) and Animal Disease Management and Epidemiology (3 papers). Hung Tai collaborates with scholars based in Hong Kong, China and United States. Hung Tai's co-authors include Honglin Chen, Malik Peiris, Gavin J. D. Smith, Yi Guan, Robert G. Webster, Kemin Xu, Kangsheng Li, Xiaohui Fan, Dhanasekaran Vijaykrishna and Jieze Zhang and has published in prestigious journals such as Journal of Virology, Emerging infectious diseases and Journal of Investigative Dermatology.

In The Last Decade

Hung Tai

8 papers receiving 596 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hung Tai Hong Kong	5	566	345	244	86	83	9	613
Jon P. Seiler United States	9	656 1.2×	338 1.0×	263 1.1×	77 0.9×	143 1.7×	10	692
Sandra Gohrbandt Germany	8	337 0.6×	203 0.6×	151 0.6×	85 1.0×	75 0.9×	11	410
Kantima Sangsiriwut Thailand	8	423 0.7×	192 0.6×	246 1.0×	64 0.7×	118 1.4×	21	523
Myeisha Paskel United States	11	402 0.7×	119 0.3×	177 0.7×	59 0.7×	121 1.5×	15	462
Evelyn Stigger-Rosser United States	8	383 0.7×	263 0.8×	132 0.5×	50 0.6×	84 1.0×	8	438
Alita Kongchanagul Thailand	8	507 0.9×	156 0.5×	191 0.8×	91 1.1×	169 2.0×	13	555
Shintaro Shichinohe Japan	12	295 0.5×	144 0.4×	165 0.7×	36 0.4×	72 0.9×	22	363
Jihui Ping China	10	441 0.8×	151 0.4×	165 0.7×	142 1.7×	169 2.0×	23	508
Yasuha Arai Japan	12	298 0.5×	136 0.4×	195 0.8×	57 0.7×	57 0.7×	23	362
Angela Danner United States	11	295 0.5×	184 0.5×	170 0.7×	36 0.4×	81 1.0×	13	368

Countries citing papers authored by Hung Tai

Since Specialization

Citations

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

Fields of papers citing papers by Hung Tai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hung Tai

This figure shows the co-authorship network connecting the top 25 collaborators of Hung Tai. A scholar is included among the top collaborators of Hung 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 Hung Tai. Hung Tai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Zhang, Qiaojuan, Minji Jang, Qian Zeng, et al.. (2025). Neuronal Mechanisms of Psoriatic Itch: Role of IL-17R/ERK/TRPV4 Signaling Pathway. Journal of Investigative Dermatology. 145(11). 2753–2762.e3. 2 indexed citations

2.

Tadokoro, Tomoko, Hung Tai, Kei Takuma, et al.. (2025). Do Patients With Alcoholic Cirrhosis Accurately Recognize Their Alcohol Tolerance? A Study Comparing Self‐Perception and ALDH2/ADH1B Genotype. Hepatology Research. 56(3). 322–329.

3.

Chen, Weiwei, et al.. (2025). Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical Deployment Study. Journal of Medical Internet Research. 27. e73840–e73840. 1 indexed citations

4.

Mok, Bobo Wing-Yee, Wenjun Song, Pui Wang, et al.. (2012). The NS1 Protein of Influenza A Virus Interacts with Cellular Processing Bodies and Stress Granules through RNA-Associated Protein 55 (RAP55) during Virus Infection. Journal of Virology. 86(23). 12695–12707. 60 indexed citations

5.

Chen, Honglin, Y. M. Cheung, Hung Tai, et al.. (2009). Oseltamivir-Resistant Influenza A Pandemic (H1N1) 2009 Virus, Hong Kong, China. Emerging infectious diseases. 15(12). 1970–1972. 79 indexed citations

6.

Smith, G. C., et al.. (2008). Naturally occurring antiviral drug resistance in Avian H5N1 virus. 4 indexed citations

7.

Xu, Kemin, Gavin J. D. Smith, Justin Bahl, et al.. (2007). The Genesis and Evolution of H9N2 Influenza Viruses in Poultry from Southern China, 2000 to 2005. Journal of Virology. 81(19). 10389–10401. 216 indexed citations

8.

Cheung, Y. M., Dhanasekaran Vijaykrishna, Gavin J. D. Smith, et al.. (2007). Establishment of Influenza A Virus (H6N1) in Minor Poultry Species in Southern China. Journal of Virology. 81(19). 10402–10412. 95 indexed citations

9.

Xu, Kemin, Kangsheng Li, Gavin J. D. Smith, et al.. (2006). Evolution and Molecular Epidemiology of H9N2 Influenza A Viruses from Quail in Southern China, 2000 to 2005. Journal of Virology. 81(6). 2635–2645. 156 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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