Mu-Kuan Chen

1.1k total citations
24 papers, 825 citations indexed

About

Mu-Kuan Chen is a scholar working on Molecular Biology, Cancer Research and Otorhinolaryngology. According to data from OpenAlex, Mu-Kuan Chen has authored 24 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Otorhinolaryngology. Recurrent topics in Mu-Kuan Chen's work include Head and Neck Cancer Studies (6 papers), Oral Health Pathology and Treatment (4 papers) and RNA modifications and cancer (3 papers). Mu-Kuan Chen is often cited by papers focused on Head and Neck Cancer Studies (6 papers), Oral Health Pathology and Treatment (4 papers) and RNA modifications and cancer (3 papers). Mu-Kuan Chen collaborates with scholars based in Taiwan, United States and Germany. Mu-Kuan Chen's co-authors include Shun‐Fa Yang, Kun-Tu Yeh, Chiao‐Wen Lin, Ming‐Hsien Chien, Chih‐Jung Chen, Wen‐Wei Sung, Huei Lee, Hung-Wen Lai, Yueh-Min Lin and Ming-Ju Hsieh and has published in prestigious journals such as PLoS ONE, Scientific Reports and Carcinogenesis.

In The Last Decade

Mu-Kuan Chen

24 papers receiving 819 citations

Peers

Mu-Kuan Chen

ONCOL

OTORH

IMMUN

Akiyuki Hirosue Japan

Yoichi Ohiro Japan

Wojciech K. Mydlarz United States

K.R. Nalinakumari India

Andreas C. Lazaris Greece

Nobuhiro Yamakawa Japan

Michelle Agostini Brazil

Malcolm J. Simons Australia

Luciana Yamamoto Almeida Brazil

Barbas do Amaral Portugal

Akiyuki Hirosue Japan

Mu-Kuan Chen

356 ×0.9

347 ×1.1

ONCOL

209 ×0.9

176 ×1.2

OTORH

179 ×1.4

IMMUN

Citations per year, relative to Mu-Kuan Chen Mu-Kuan Chen (= 1×) peers Akiyuki Hirosue

Countries citing papers authored by Mu-Kuan Chen

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mu-Kuan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Mu-Kuan Chen. A scholar is included among the top collaborators of Mu-Kuan Chen 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 Mu-Kuan Chen. Mu-Kuan Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Su, Shih‐Chi, Chiao‐Wen Lin, Mu-Kuan Chen, et al.. (2025). Multimodal profiling of oral squamous cell carcinoma identifies genomic alterations and expression programs associated with betel quid chewing. Neoplasia. 68. 101218–101218. 1 indexed citations

Chen, Mu-Kuan, et al.. (2020). Reducing the consumption of personal protective equipment by setting up a multifunctional sampling station in the emergency department to screen for COVID-19 infection in Taiwan. Environmental Health and Preventive Medicine. 25(1). 34–34. 7 indexed citations

Chang, Yu-Chao, Ming‐Hsien Chien, Yi‐Hsien Hsieh, et al.. (2019). Loss of TIMP3 by promoter methylation of Sp1 binding site promotes oral cancer metastasis. Cell Death and Disease. 10(11). 793–793. 59 indexed citations

Chien, Ming‐Hsien, Chiao‐Wen Lin, Mu-Kuan Chen, et al.. (2018). Associations of genetic variations of the endothelial nitric oxide synthase gene and environmental carcinogens with oral cancer susceptibility and development. Nitric Oxide. 79. 1–7. 18 indexed citations

Chuang, Shu-Lin, Cheng‐Ping Wang, Mu-Kuan Chen, et al.. (2018). Malignant transformation to oral cancer by subtype of oral potentially malignant disorder: A prospective cohort study of Taiwanese nationwide oral cancer screening program. Oral Oncology. 87. 58–63. 41 indexed citations

Chung, Chia‐Min, Chien‐Hung Lee, Mu-Kuan Chen, et al.. (2017). Combined Genetic Biomarkers and Betel Quid Chewing for Identifying High-Risk Group for Oral Cancer Occurrence. Cancer Prevention Research. 10(6). 355–362. 13 indexed citations

Chung, Chia‐Min, Chien‐Hung Lee, Mu-Kuan Chen, Ming-Hsui Tsai, & Ying-Chin Ko. (2017). Interaction Between Rare Variants in NOTCH1 and Betel Quid Chewing in Oral Squamous Cell Carcinoma. Genetic Testing and Molecular Biomarkers. 21(10). 608–612. 3 indexed citations

Lin, Chiao‐Wen, Wei-En Yang, Wei-Jiunn Lee, et al.. (2016). Lipocalin 2 prevents oral cancer metastasis through carbonic anhydrase IX inhibition and is associated with favourable prognosis. Carcinogenesis. 37(7). 712–722. 62 indexed citations

Lin, Yueh-Min, Wen‐Wei Sung, Ming-Ju Hsieh, et al.. (2015). High PD-L1 Expression Correlates with Metastasis and Poor Prognosis in Oral Squamous Cell Carcinoma. PLoS ONE. 10(11). e0142656–e0142656. 188 indexed citations

10.

Lin, Chiao‐Wen, et al.. (2015). Combinations of FUT2 gene polymorphisms and environmental factors are associated with oral cancer risk. Tumor Biology. 37(5). 6647–6652. 9 indexed citations

11.

Tsai, Hsiu‐Ting, et al.. (2013). Impact of Interleukin-18 Polymorphisms -607A/C and -137G/C on Oral Cancer Occurrence and Clinical Progression. PLoS ONE. 8(12). e83572–e83572. 32 indexed citations

12.

Chen, Chih‐Jung, Wen‐Wei Sung, Mu-Kuan Chen, et al.. (2012). High expression of interleukin 10 might predict poor prognosis in early stage oral squamous cell carcinoma patients. Clinica Chimica Acta. 415. 25–30. 31 indexed citations

13.

Chu, Pei‐Yi, Mu-Kuan Chen, Ming‐Chei Maa, et al.. (2012). Expression of Eps8 correlates with poor survival in oral squamous cell carcinoma. Asia-Pacific Journal of Clinical Oncology. 8(4). e77–81. 12 indexed citations

14.

Lin, Chiao‐Wen, et al.. (2012). Impacts of MicroRNA Gene Polymorphisms on the Susceptibility of Environmental Factors Leading to Carcinogenesis in Oral Cancer. PLoS ONE. 7(6). e39777–e39777. 60 indexed citations

15.

Chen, Chih‐Jung, Li-Sung Hsu, Shu-Hui Lin, et al.. (2011). Loss of nuclear expression of Krüppel-like factor 4 is associated with poor prognosis in patients with oral cancer. Human Pathology. 43(7). 1119–1125. 24 indexed citations

16.

Weng, Chia‐Jui, et al.. (2010). Effect of CC chemokine ligand 5 and CC chemokine receptor 5 genes polymorphisms on the risk and clinicopathological development of oral cancer. Oral Oncology. 46(10). 767–772. 31 indexed citations

17.

Chen, Mu-Kuan, et al.. (2010). Association of High Levels of Jagged-1 and Notch-1 Expression with Poor Prognosis in Head and Neck Cancer. Annals of Surgical Oncology. 17(11). 2976–2983. 67 indexed citations

18.

Chen, Mu-Kuan, et al.. (2010). Primary Tumor Volume Is an Independent Predictor of Outcome Within pT4a-Staged Tongue Carcinoma. Annals of Surgical Oncology. 18(5). 1447–1452. 12 indexed citations

19.

Chen, Mu-Kuan, et al.. (2009). Expression of bcl-2 correlates with poor prognosis and modulates migration of nasopharyngeal carcinoma cells. Clinica Chimica Acta. 411(5-6). 400–405. 20 indexed citations

20.

Chen, Mu-Kuan, Hui‐Ling Chiou, Shih-Chi Su, et al.. (2009). The association between hypoxia inducible factor-1α gene polymorphisms and increased susceptibility to oral cancer. Oral Oncology. 45(12). e222–e226. 54 indexed citations

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.

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