Hung-Jen Tang
- Infectious Diseases top 0.5%
- Epidemiology top 5%
- Molecular Medicine top 0.5%
- Clinical Psychology top 2%
- Modeling and Simulation top 0.5%
- Co-authors
- Wen‐Chien KoPo‐Ren HsuehChih‐Cheng LaiYin-Ching ChuangChi-Chung ChenHan Siong TohWen‐Liang YuChing‐Chi Lee
- Topics
- Antibiotic Resistance in Bacteria (31 papers)Antibiotics Pharmacokinetics and Efficacy (16 papers)Antimicrobial Resistance in Staphylococcus (11 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Hung-Jen Tang
67 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Infectious Diseases 2.4k
- Epidemiology 805
- Molecular Medicine 695
- Clinical Psychology 692
- Modeling and Simulation 677
Countries citing papers authored by Hung-Jen Tang
This map shows the geographic impact of Hung-Jen Tang'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-Jen Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung-Jen Tang more than expected).
Fields of papers citing papers by Hung-Jen Tang
This network shows the impact of papers produced by Hung-Jen Tang. 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-Jen Tang. The network helps show where Hung-Jen Tang may publish in the future.
Co-authorship network of co-authors of Hung-Jen Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Hung-Jen Tang. A scholar is included among the top collaborators of Hung-Jen Tang 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-Jen Tang. Hung-Jen Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 17 | |
| 4 | Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease-2019 (COVID-19): The epidemic and the challengesbreakdown → | 4065 |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 32 | |
| 8 | 10 | |
| 9 | 13 | |
| 10 | 31 | |
| 11 | 16 | |
| 12 | 34 | |
| 13 | 10 | |
| 14 | 13 | |
| 15 | 16 | |
| 16 | 39 | |
| 17 | 10 | |
| 18 | 165 | |
| 19 | 32 | |
| 20 | 7 |
About Hung-Jen Tang
Hung-Jen Tang is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Endocrinology, having authored 68 papers that have together received 5.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (31 papers), Antibiotics Pharmacokinetics and Efficacy (16 papers) and Antimicrobial Resistance in Staphylococcus (11 papers). The work is most often cited by research in Modeling and Simulation (677 citations), Molecular Medicine (695 citations) and Applied Microbiology and Biotechnology (278 citations). Hung-Jen Tang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Wen‐Chien Ko, Po‐Ren Hsueh, Chih‐Cheng Lai, Yin-Ching Chuang, Chi-Chung Chen, Han Siong Toh, Wen‐Liang Yu, Ching‐Chi Lee, Po‐Liang Lu and Yung-Ching Liu. Their work appears in journals such as PLoS ONE, Scientific Reports and Antimicrobial Agents and Chemotherapy.
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.