Chi‐Tai Fang
- Infectious Diseases top 0.5%
- Molecular Medicine top 0.1%
- Epidemiology top 1%
- Endocrinology top 0.5%
- Molecular Biology
- Co-authors
- Shan‐Chwen ChangJann‐Tay WangPo‐Ren HsuehYi‐Ping ChuangChia‐Tung ShunWen‐Ching YiKao‐Lang LiuShengbao Lai
- Topics
- Antibiotic Resistance in Bacteria (21 papers)Tuberculosis Research and Epidemiology (20 papers)Antimicrobial Resistance in Staphylococcus (20 papers)
- Journals
- Nature CommunicationsThe Journal of Experimental MedicineSHILAP Revista de lepidopterología
- Partner nations
- TaiwanUnited StatesSouth Korea
In The Last Decade
Chi‐Tai Fang
148 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Infectious Diseases 2.4k
- Molecular Medicine 1.8k
- Epidemiology 1.7k
- Endocrinology 729
- Molecular Biology 666
Countries citing papers authored by Chi‐Tai Fang
This map shows the geographic impact of Chi‐Tai Fang'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 Chi‐Tai Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi‐Tai Fang more than expected).
Fields of papers citing papers by Chi‐Tai Fang
This network shows the impact of papers produced by Chi‐Tai Fang. 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 Chi‐Tai Fang. The network helps show where Chi‐Tai Fang may publish in the future.
Co-authorship network of co-authors of Chi‐Tai Fang
This figure shows the co-authorship network connecting the top 25 collaborators of Chi‐Tai Fang. A scholar is included among the top collaborators of Chi‐Tai Fang 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 Chi‐Tai Fang. Chi‐Tai Fang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 8 | |
| 10 | 0 | |
| 11 | 56 | |
| 12 | 22 | |
| 13 | 7 | |
| 14 | 24 | |
| 15 | 68 | |
| 16 | 12 | |
| 17 | 45 | |
| 18 | THE EFFECT OF GUIDELINES FOR DIAGNOSIS AND TREATMENT OF ACUTE MYOCARDIAL INFARCTION ON SECOND-LEVEL PREVENTION AT BASIC-LEVEL HOSPITALS | 2 |
| 19 | A Novel Virulence Gene in Klebsiella pneumoniae Strains Causing Primary Liver Abscess and Septic Metastatic Complicationsbreakdown → | 609 |
| 20 | 78 |
About Chi‐Tai Fang
Chi‐Tai Fang is a scholar working on Infectious Diseases, Molecular Medicine and Applied Microbiology and Biotechnology, having authored 157 papers that have together received 5.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (21 papers), Tuberculosis Research and Epidemiology (20 papers) and Antimicrobial Resistance in Staphylococcus (20 papers). The work is most often cited by research in Molecular Medicine (1.8k citations), Endocrinology (729 citations) and Infectious Diseases (2.4k citations). Chi‐Tai Fang has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Shan‐Chwen Chang, Jann‐Tay Wang, Po‐Ren Hsueh, Yi‐Ping Chuang, Chia‐Tung Shun, Wen‐Ching Yi, Kao‐Lang Liu, Shengbao Lai, Yee‐Chun Chen and Jung‐Der Wang. Their work appears in journals such as Nature Communications, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.
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.