Kai-Feng Hung
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
Papers in
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- DNA Repair Mechanisms 1
- Ubiquitin and proteasome pathways 1
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- SARS-CoV-2 and COVID-19 Research 3
- SARS-CoV-2 detection and testing 2
- Co-authors
- Jeng‐Fan Lo (8 shared papers)Shou‐Yen Kao (5 shared papers)Te‐Chang Lee (4 shared papers)Cheng‐Hsien Wu (4 shared papers)Chung‐Ji Liu (2 shared papers)Hsi‐Feng Tu (2 shared papers)Yeou‐Guang Tsay (2 shared papers)Kuo‐Wei Chang (1 shared paper)
- Journals
- Oral Oncology (2 papers)Stem Cell Research & Therapy (1 paper)Oncotarget (1 paper)RSC Advances (1 paper)International Journal of Biological Sciences (1 paper)
- Partner nations
- TaiwanUnited StatesHong Kong
In The Last Decade
Kai-Feng Hung
16 papers receiving 323 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 82
- General Dentistry 8
- Periodontics 21
- Otorhinolaryngology 13
- Molecular Biology 162
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 | 79 | |
| 2 | 2015 | 69 | |
| 3 | 2020 | 42 | |
| 4 | 2018 | 34 | |
| 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 327 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Biosensors and Analytical Detection (2 papers), SARS-CoV-2 detection and testing (2 papers), Autophagy in Disease and Therapy (2 papers), DNA Repair Mechanisms (1 paper), Head and Neck Cancer Studies (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cancer Research (82 citations), General Dentistry (8 citations), Periodontics (21 citations), Otorhinolaryngology (13 citations) and Molecular Biology (162 citations). Kai-Feng Hung has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Jeng‐Fan Lo, Shou‐Yen Kao, Te‐Chang Lee, Cheng‐Hsien Wu, Chung‐Ji Liu, Hsi‐Feng Tu, Yeou‐Guang Tsay, Kuo‐Wei Chang, Yu−Syuan Chen and Ching-Wen Chang. Their work appears in journals such as Oral Oncology, Stem Cell Research & Therapy, Oncotarget, RSC Advances and International Journal of Biological Sciences.
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.