Kai-Feng Hung
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
Papers in
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- Advanced biosensing and bioanalysis techniques 1
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- SARS-CoV-2 and COVID-19 Research 3
- SARS-CoV-2 detection and testing 2
- Co-authors
- Shou‐Yen Kao (5 shared papers)Jeng‐Fan Lo (8 shared papers)Te‐Chang Lee (4 shared papers)Chung‐Ji Liu (2 shared papers)Cheng‐Hsien Wu (4 shared papers)Hsi‐Feng Tu (2 shared papers)Ching-Wen Chang (2 shared papers)Yu−Syuan Chen (2 shared papers)
- Journals
- Oral Oncology (2 papers)RSC Advances (1 paper)Cell Death and Disease (1 paper)Oncotarget (1 paper)Theranostics (1 paper)
- Partner nations
- TaiwanUnited StatesHong Kong
In The Last Decade
Kai-Feng Hung
16 papers receiving 319 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 95
- General Dentistry 10
- Periodontics 23
- Otorhinolaryngology 16
- Molecular Biology 184
Countries citing papers authored by Kai-Feng Hung
This map shows the geographic impact of Kai-Feng 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 Kai-Feng Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai-Feng Hung more than expected).
Fields of papers citing papers by Kai-Feng Hung
This network shows the impact of papers produced by Kai-Feng 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 Kai-Feng Hung. The network helps show where Kai-Feng Hung may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai-Feng Hung, 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 | 2018 | 77 | |
| 2 | 2015 | 69 | |
| 3 | 2020 | 42 | |
| 4 | 2018 | 32 | |
| 5 | 2016 | 15 | |
| 6 | 2020 | 15 | |
| 7 | 2021 | 13 | |
| 8 | 2005 | 12 | |
| 9 | 2009 | 12 | |
| 10 | 2019 | 11 | |
| 11 | 2016 | 10 | |
| 12 | 2023 | 4 | |
| 13 | 2019 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2020 | 2 |
About Kai-Feng Hung
Kai-Feng Hung is a scholar working on Molecular Biology, Infectious Diseases, Cell Biology, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 323 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), SARS-CoV-2 detection and testing (2 papers), Biosensors and Analytical Detection (2 papers), Autophagy in Disease and Therapy (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), MicroRNA in disease regulation (1 paper) and Reconstructive Facial Surgery Techniques (1 paper). The work is most often cited by research in Cancer Research (95 citations), General Dentistry (10 citations), Periodontics (23 citations), Otorhinolaryngology (16 citations) and Molecular Biology (184 citations). Kai-Feng Hung has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Shou‐Yen Kao, Jeng‐Fan Lo, Te‐Chang Lee, Chung‐Ji Liu, Cheng‐Hsien Wu, Hsi‐Feng Tu, Ching-Wen Chang, Yu−Syuan Chen, Kuo‐Wei Chang and Yeou‐Guang Tsay. Their work appears in journals such as Oral Oncology, RSC Advances, Cell Death and Disease, Oncotarget and Theranostics.
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.