Wei‐Chun Hung

1.7k total citations
84 papers, 1.4k citations indexed

About

Wei‐Chun Hung is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Wei‐Chun Hung has authored 84 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Infectious Diseases, 40 papers in Molecular Biology and 18 papers in Epidemiology. Recurrent topics in Wei‐Chun Hung's work include Antimicrobial Resistance in Staphylococcus (40 papers), Bacterial biofilms and quorum sensing (24 papers) and Bacterial Identification and Susceptibility Testing (15 papers). Wei‐Chun Hung is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (40 papers), Bacterial biofilms and quorum sensing (24 papers) and Bacterial Identification and Susceptibility Testing (15 papers). Wei‐Chun Hung collaborates with scholars based in Taiwan, Japan and Russia. Wei‐Chun Hung's co-authors include Lee‐Jene Teng, Sung‐Pin Tseng, Jui‐Chang Tsai, Po‐Ren Hsueh, Hsiao-Jan Chen, Tatsuo Yamamoto, Yu-Tzu Lin, Mao‐Hsiung Yen, Tomomi Takano and Joen‐Rong Sheu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

Wei‐Chun Hung

82 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei‐Chun Hung Taiwan 22 689 606 232 198 160 84 1.4k
Sandra Ramírez‐Arcos Canada 26 598 0.9× 305 0.5× 172 0.7× 122 0.6× 98 0.6× 95 1.8k
Ni Tien Taiwan 22 343 0.5× 315 0.5× 203 0.9× 242 1.2× 102 0.6× 71 1.2k
Chandran Ragunath United States 15 1.3k 1.9× 415 0.7× 81 0.3× 107 0.5× 96 0.6× 19 2.0k
Yu‐Mi Lee South Korea 23 386 0.6× 384 0.6× 79 0.3× 457 2.3× 177 1.1× 117 2.0k
Shih-Yi Lee Taiwan 20 290 0.4× 280 0.5× 101 0.4× 210 1.1× 128 0.8× 68 1.2k
Yongjun Li China 17 517 0.8× 331 0.5× 117 0.5× 528 2.7× 66 0.4× 41 1.4k
Ayşegül Yağcı Türkiye 15 545 0.8× 391 0.6× 77 0.3× 243 1.2× 49 0.3× 46 1.1k
Jesús Navas Spain 22 621 0.9× 352 0.6× 132 0.6× 202 1.0× 104 0.7× 55 2.3k
Vittorio Saba Italy 32 1.4k 2.1× 460 0.8× 67 0.3× 301 1.5× 74 0.5× 80 3.0k
Shigeru Akimoto Japan 19 482 0.7× 401 0.7× 150 0.6× 89 0.4× 138 0.9× 44 1.1k

Countries citing papers authored by Wei‐Chun Hung

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Chun Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei‐Chun Hung

This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐Chun Hung. A scholar is included among the top collaborators of Wei‐Chun Hung 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 Wei‐Chun Hung. Wei‐Chun Hung 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, Chih‐Cheng, Yi‐Chun Tsai, Wei‐Wen Hung, et al.. (2025). Circulating short chain fatty acid levels and body composition in type 2 diabetes mellitus. International Journal of Medical Sciences. 22(10). 2289–2297. 1 indexed citations
2.
Liang, Kung‐Hao, Yuan‐Chi Teng, Yiting Liao, et al.. (2024). The Natural History of SARS-CoV-2-Incurred Disease: From Infection to Long COVID. SHILAP Revista de lepidopterología. 4(1). 72–86. 2 indexed citations
3.
Wu, Ping‐Hsun, Wangta Liu, Yun‐Shiuan Chuang, et al.. (2024). Exploring the Relationship between Gut Microbiome Composition and Blood Indole-3-acetic Acid in Hemodialysis Patients. Biomedicines. 12(1). 148–148. 7 indexed citations
4.
Tsai, Hui-Ju, Wei‐Chun Hung, Wei‐Wen Hung, et al.. (2023). Circulating Short-Chain Fatty Acids and Non-Alcoholic Fatty Liver Disease Severity in Patients with Type 2 Diabetes Mellitus. Nutrients. 15(7). 1712–1712. 23 indexed citations
5.
Peng, P., Wei‐Chun Hung, Ping‐Hsun Wu, et al.. (2023). Comparative Gut Microbiome Differences between High and Low Aortic Arch Calcification Score in Patients with Chronic Diseases. International Journal of Molecular Sciences. 24(6). 5673–5673. 6 indexed citations
6.
Chou, Ping‐Song, Wei‐Chun Hung, Meng‐Ni Wu, et al.. (2023). Predicting Adverse Recanalization Therapy Outcomes in Acute Ischemic Stroke Patients Using Characteristic Gut Microbiota. Microorganisms. 11(8). 2016–2016. 6 indexed citations
7.
Wang, Chengyuan, Wei‐Wen Hung, Wei‐Chun Hung, et al.. (2022). Interrelationship of Gut Microbiota, Obesity, Body Composition and Insulin Resistance in Asians with Type 2 Diabetes Mellitus. Journal of Personalized Medicine. 12(4). 617–617. 9 indexed citations
8.
Tsai, Hui-Ju, et al.. (2021). Gut Microbiota and Non-Alcoholic Fatty Liver Disease Severity in Type 2 Diabetes Patients. Journal of Personalized Medicine. 11(3). 238–238. 16 indexed citations
9.
Lin, Yi‐Ting, Ting‐Yun Lin, Szu‐Chun Hung, et al.. (2021). Differences in the Microbial Composition of Hemodialysis Patients Treated with and without β-Blockers. Journal of Personalized Medicine. 11(3). 198–198. 8 indexed citations
10.
Tsai, Hui-Ju, Wei‐Chung Tsai, Wei‐Chun Hung, et al.. (2021). Gut Microbiota and Subclinical Cardiovascular Disease in Patients with Type 2 Diabetes Mellitus. Nutrients. 13(8). 2679–2679. 49 indexed citations
11.
Lin, Yi‐Ting, Ting‐Yun Lin, Szu-Chun Hung, et al.. (2021). Anti-Acid Drug Treatment Induces Changes in the Gut Microbiome Composition of Hemodialysis Patients. Microorganisms. 9(2). 286–286. 15 indexed citations
12.
Liu, Yu‐Jung, Yuting Wang, Yu-Tzu Lin, et al.. (2021). Potentially conjugative plasmids harboring Tn6636, a multidrug-resistant and composite mobile element, in Staphylococcus aureus. Journal of Microbiology Immunology and Infection. 55(2). 225–233. 6 indexed citations
13.
Higuchi, Wataru, Olga E. Khokhlova, Wei‐Chun Hung, et al.. (2017). Genomic comparison between Staphylococcus aureus GN strains clinically isolated from a familial infection case: IS1272 transposition through a novel inverted repeat-replacing mechanism. PLoS ONE. 12(11). e0187288–e0187288. 5 indexed citations
15.
Hung, Wei‐Chun, et al.. (2015). Epidural anesthesia for laparoscopic bariatric surgery: a case report. SpringerPlus. 4(1). 363–363. 7 indexed citations
16.
17.
Tseng, Sung‐Pin, Yu-Tzu Lin, Jui‐Chang Tsai, et al.. (2014). Genotypes and phenotypes of Staphylococcus lugdunensis isolates recovered from bacteremia. Journal of Microbiology Immunology and Infection. 48(4). 397–405. 18 indexed citations
18.
Hung, Wei‐Chun, et al.. (2008). EFFECT OF NON-ELASTIC WHITE TAPE AND KINESIO TAPE ON FOOT PRESSURE DURING LEVEL WALKING. ISBS - Conference Proceedings Archive. 1(1). 1 indexed citations
19.
Chai, Chee‐Yin, Yu‐Chun Huang, Wei‐Chun Hung, Wan-Yi Kang, & Wei‐Ting Chen. (2007). Arsenic salt-induced DNA damage and expression of mutant p53 and COX-2 proteins in SV-40 immortalized human uroepithelial cells. Mutagenesis. 22(6). 403–408. 27 indexed citations
20.
Sheu, Joen‐Rong, et al.. (1997). Mechanisms Involved in the Antiplatelet Activity of Tetramethylpyrazine in Human Platelets. Thrombosis Research. 88(3). 259–270. 50 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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