Mu‐Kuan Chen
Impact in
- Otorhinolaryngology top 0.5%
- Head and Neck Cancer Studies
- Periodontics top 1%
- Oral Health Pathology and Treatment
Papers in
-
- Cancer-related gene regulation 7
-
- Head and Neck Cancer Studies 33
- Co-authors
- Shun‐Fa Yang (55 shared papers)Ming‐Ju Hsieh (61 shared papers)Chiao‐Wen Lin (39 shared papers)Yu‐Sheng Lo (45 shared papers)Yi‐Ching Chuang (44 shared papers)Hui‐Ling Chiou (9 shared papers)Chia‐Chieh Lin (28 shared papers)Jen‐Tsun Lin (16 shared papers)
- Journals
- Environmental Toxicology (12 papers)International Journal of Molecular Sciences (10 papers)Journal of Cellular and Molecular Medicine (8 papers)Head & Neck (7 papers)PLoS ONE (6 papers)
- Partner nations
- TaiwanUnited StatesVietnam
In The Last Decade
Mu‐Kuan Chen
165 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 131
- Otorhinolaryngology 544
- Periodontics 260
- Cancer Research 714
- Complementary and alternative medicine 220
- Applied Microbiology and Biotechnology 47
Countries citing papers authored by Mu‐Kuan Chen
This map shows the geographic impact of Mu‐Kuan Chen'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 Mu‐Kuan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mu‐Kuan Chen more than expected).
Fields of papers citing papers by Mu‐Kuan Chen
This network shows the impact of papers produced by Mu‐Kuan Chen. 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 Mu‐Kuan Chen. The network helps show where Mu‐Kuan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Mu‐Kuan Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 171 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 126 | |
| 2 | 2013 | 112 | |
| 3 | 2017 | 111 | |
| 4 | 2017 | 100 | |
| 5 | 2004 | 96 | |
| 6 | 2010 | 93 | |
| 7 | 2013 | 87 | |
| 8 | 2014 | 79 | |
| 9 | 2010 | 76 | |
| 10 | 2000 | 75 | |
| 11 | 2007 | 71 | |
| 12 | 2013 | 67 | |
| 13 | 2010 | 60 | |
| 14 | 2015 | 55 | |
| 15 | 2020 | 55 | |
| 16 | 2010 | 54 | |
| 17 | 2014 | 53 | |
| 18 | 2016 | 53 | |
| 19 | 2002 | 52 | |
| 20 | 2017 | 51 |
About Mu‐Kuan Chen
Mu‐Kuan Chen is a scholar working on Molecular Biology, Otorhinolaryngology, Cancer Research, Oncology and Surgery, having authored 171 papers that have together received 4.0k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (33 papers), Protease and Inhibitor Mechanisms (13 papers), Head and Neck Surgical Oncology (11 papers), Oral Health Pathology and Treatment (8 papers), Autophagy in Disease and Therapy (7 papers), Cancer-related gene regulation (7 papers), Salivary Gland Tumors Diagnosis and Treatment (7 papers) and Cancer Mechanisms and Therapy (7 papers). The work is most often cited by research in Otorhinolaryngology (544 citations), Periodontics (260 citations), Cancer Research (714 citations), Complementary and alternative medicine (220 citations) and Applied Microbiology and Biotechnology (47 citations). Mu‐Kuan Chen has collaborated with scholars based in Taiwan, United States and Vietnam. Frequent co-authors include Shun‐Fa Yang, Ming‐Ju Hsieh, Chiao‐Wen Lin, Yu‐Sheng Lo, Yi‐Ching Chuang, Hui‐Ling Chiou, Chia‐Chieh Lin, Jen‐Tsun Lin, Su‐Yu Chien and Yi‐Ting Hsi. Their work appears in journals such as Environmental Toxicology, International Journal of Molecular Sciences, Journal of Cellular and Molecular Medicine, Head & Neck and PLoS ONE.
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.