Ching-Hsun Wang
Impact in
- Endocrinology top 5%
- Infections and bacterial resistance
- Vibrio bacteria research studies
- Escherichia coli research studies
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Antibiotic Resistance in Bacteria 6
-
- Pneumonia and Respiratory Infections 2
- Inflammatory Myopathies and Dermatomyositis 2
- Co-authors
- Jung‐Chung Lin (11 shared papers)Feng‐Yee Chang (9 shared papers)L. Kristopher Siu (9 shared papers)Kuo‐Ming Yeh (3 shared papers)Li-Yueh Huang (3 shared papers)Ya‐Sung Yang (2 shared papers)Te‐Yu Lin (4 shared papers)Ning‐Chi Wang (4 shared papers)
- Journals
- Journal of Microbiology Immunology and Infection (6 papers)Microbiology Spectrum (3 papers)Modern Rheumatology (2 papers)Gut Pathogens (1 paper)BMC Pulmonary Medicine (1 paper)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Ching-Hsun Wang
18 papers receiving 190 citations
Peers
Comparison fields: 5 of 52
- Endocrinology 85
- Molecular Medicine 78
- Applied Microbiology and Biotechnology 6
- Clinical Biochemistry 11
- Microbiology 7
Countries citing papers authored by Ching-Hsun Wang
This map shows the geographic impact of Ching-Hsun Wang'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 Ching-Hsun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching-Hsun Wang more than expected).
Fields of papers citing papers by Ching-Hsun Wang
This network shows the impact of papers produced by Ching-Hsun Wang. 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 Ching-Hsun Wang. The network helps show where Ching-Hsun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ching-Hsun Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 32 | |
| 2 | 2021 | 27 | |
| 3 | 2017 | 23 | |
| 4 | 2020 | 22 | |
| 5 | 2012 | 18 | |
| 6 | 2021 | 14 | |
| 7 | 2017 | 13 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 7 | |
| 10 | 2014 | 6 | |
| 11 | 2024 | 6 | |
| 12 | 2011 | 5 | |
| 13 | 2022 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2018 | 3 | |
| 16 | 2013 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2014 | 1 |
About Ching-Hsun Wang
Ching-Hsun Wang is a scholar working on Molecular Medicine, Epidemiology, Endocrinology, Surgery and Pollution, having authored 18 papers that have together received 199 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Infections and bacterial resistance (3 papers), Pneumonia and Respiratory Infections (2 papers), Inflammatory Myopathies and Dermatomyositis (2 papers), Eosinophilic Disorders and Syndromes (2 papers), Pharmaceutical and Antibiotic Environmental Impacts (2 papers), Antibiotic Use and Resistance (1 paper) and Case Reports on Hematomas (1 paper). The work is most often cited by research in Endocrinology (85 citations), Molecular Medicine (78 citations), Applied Microbiology and Biotechnology (6 citations), Clinical Biochemistry (11 citations) and Microbiology (7 citations). Ching-Hsun Wang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Jung‐Chung Lin, Feng‐Yee Chang, L. Kristopher Siu, Kuo‐Ming Yeh, Li-Yueh Huang, Ya‐Sung Yang, Te‐Yu Lin, Ning‐Chi Wang, Sheng-Kang Chiu and Chang‐Phone Fung. Their work appears in journals such as Journal of Microbiology Immunology and Infection, Microbiology Spectrum, Modern Rheumatology, Gut Pathogens and BMC Pulmonary Medicine.
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.