Ming-Chih Chou

1.3k total citations
37 papers, 1.1k citations indexed

About

Ming-Chih Chou is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ming-Chih Chou has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Ming-Chih Chou's work include RNA modifications and cancer (5 papers), Cancer-related Molecular Pathways (4 papers) and Epigenetics and DNA Methylation (4 papers). Ming-Chih Chou is often cited by papers focused on RNA modifications and cancer (5 papers), Cancer-related Molecular Pathways (4 papers) and Epigenetics and DNA Methylation (4 papers). Ming-Chih Chou collaborates with scholars based in Taiwan, United States and China. Ming-Chih Chou's co-authors include Meng-Chih Lee, Tsung‐Hsueh Lu, Ya‐Wen Cheng, Chih‐Yi Chen, Huei Lee, Po-Lin Lin, Chi-Chou Huang, Huei Lee, Po‐Len Liu and Po‐Hsun Huang and has published in prestigious journals such as Scientific Reports, Clinical Cancer Research and Social Science & Medicine.

In The Last Decade

Ming-Chih Chou

37 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ming-Chih Chou Taiwan 19 360 179 179 171 148 37 1.1k
Christopher P. Mill United States 25 783 2.2× 252 1.4× 151 0.8× 84 0.5× 120 0.8× 82 1.8k
G. Vlachos Greece 24 205 0.6× 182 1.0× 277 1.5× 101 0.6× 175 1.2× 102 1.7k
Tian Tian China 18 356 1.0× 165 0.9× 265 1.5× 109 0.6× 68 0.5× 85 1.2k
Loretta S. Davis United States 16 228 0.6× 148 0.8× 237 1.3× 58 0.3× 103 0.7× 93 1.5k
Melissa M. Moore Australia 17 235 0.7× 543 3.0× 120 0.7× 140 0.8× 168 1.1× 53 1.2k
Glenn O. Allen United States 19 349 1.0× 354 2.0× 93 0.5× 131 0.8× 168 1.1× 59 1.1k
Cindy N. Roy United States 27 289 0.8× 303 1.7× 209 1.2× 95 0.6× 142 1.0× 39 3.3k
Jun Ye China 18 235 0.7× 138 0.8× 181 1.0× 87 0.5× 74 0.5× 64 1.1k
Amit Sharma United States 17 132 0.4× 61 0.3× 132 0.7× 72 0.4× 89 0.6× 62 747
Ebrahim Shakiba Iran 21 153 0.4× 121 0.7× 246 1.4× 97 0.6× 42 0.3× 98 1.2k

Countries citing papers authored by Ming-Chih Chou

Since Specialization
Citations

This map shows the geographic impact of Ming-Chih Chou'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 Ming-Chih Chou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Chih Chou more than expected).

Fields of papers citing papers by Ming-Chih Chou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Chih Chou. 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 Ming-Chih Chou. The network helps show where Ming-Chih Chou may publish in the future.

Co-authorship network of co-authors of Ming-Chih Chou

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

All Works

20 of 20 papers shown
1.
Chien, Ming‐Hsien, et al.. (2019). Association of EGFR mutations and HMGB1 genetic polymorphisms in lung adenocarcinoma patients. Journal of Cancer. 10(13). 2907–2914. 16 indexed citations
2.
Wu, De‐Wei, Po-Lin Lin, Lee Wang, et al.. (2016). DDX3 promotes tumor invasion in colorectal cancer via the CK1ε/Dvl2 axis. Scientific Reports. 6(1). 21483–21483. 37 indexed citations
3.
Lin, Po-Lin, Ya‐Wen Cheng, Tzu-Chin Wu, et al.. (2015). MicroRNA-184 Deregulated by the MicroRNA-21 Promotes Tumor Malignancy and Poor Outcomes in Non-small Cell Lung Cancer via Targeting CDC25A and c-Myc. Annals of Surgical Oncology. 22(S3). 1532–1539. 40 indexed citations
4.
Lin, Po-Lin, De‐Wei Wu, Chi-Chou Huang, et al.. (2014). MicroRNA-21 promotes tumour malignancy via increased nuclear translocation of β-catenin and predicts poor outcome in APC-mutated but not in APC-wild-type colorectal cancer. Carcinogenesis. 35(10). 2175–2182. 46 indexed citations
5.
Chen, Shih‐Pin, Nan‐Yung Hsu, Jeng-Yuan Wu, et al.. (2013). Association of p53 Codon 72 Genotypes and Clinical Outcome in Human Papillomavirus-Infected Lung Cancer Patients. The Annals of Thoracic Surgery. 95(4). 1196–1203. 10 indexed citations
7.
Hsu, Jeng‐Yuan, et al.. (2012). Optimal value of fractional exhaled nitric oxide in inhaled corticosteroid treatment for patients with chronic cough of unknown cause. Journal of the Chinese Medical Association. 76(1). 15–19. 15 indexed citations
8.
Chou, Ming-Chih, et al.. (2012). CYP1A1 protein activity is associated with allelic variation in pterygium tissues and cells.. PubMed. 18. 1937–43. 6 indexed citations
9.
Hsu, Nan‐Yung, Jeng-Yuan Wu, Xiyong Liu, et al.. (2010). p53R2 expression as a prognostic biomarker in early stage non-small cell lung cancer. Oncology Letters. 1(4). 609–613. 8 indexed citations
10.
Tu, Yuan-Kun, et al.. (2010). Floating Knee Injuries: A High Complication Rate. Orthopedics. 33(1). 14–18. 32 indexed citations
11.
Tung, Jai-Nien, et al.. (2010). An association between BPDE-like DNA adduct levels and CYP1A1 and GSTM1 polymorphisma in pterygium.. PubMed. 16. 623–9. 13 indexed citations
12.
Shen, Jui‐Lung, Kee‐Ming Man, Po‐Hsun Huang, et al.. (2010). Honokiol and Magnolol as Multifunctional Antioxidative Molecules for Dermatologic Disorders. Molecules. 15(9). 6452–6465. 144 indexed citations
13.
Hsieh, Yi‐Hsien, et al.. (2009). Stromal cell-derived factor-1 but not its receptor, CXCR4, gene variants increase susceptibility and pathological development of hepatocellular carcinoma. Clinical Chemistry and Laboratory Medicine (CCLM). 47(4). 412–8. 40 indexed citations
14.
Wang, Po-Hui, Shun‐Fa Yang, Long-Yau Lin, et al.. (2008). Significant elevation of a Th2 cytokine, interleukin-10, in pelvic inflammatory disease. Clinical Chemistry and Laboratory Medicine (CCLM). 46(11). 1609–16. 18 indexed citations
15.
Cheng, Ya‐Wen, Tzu-Chin Wu, Chih‐Yi Chen, et al.. (2008). Human Telomerase Reverse Transcriptase Activated by E6 Oncoprotein Is Required for Human Papillomavirus-16/18-Infected Lung Tumorigenesis. Clinical Cancer Research. 14(22). 7173–7179. 31 indexed citations
16.
Huang, Chi-Chou, et al.. (2007). NAT2 Fast Acetylator Genotype is Associated with an Increased Risk of Colorectal Cancer in Taiwan. Diseases of the Colon & Rectum. 50(7). 981–989. 18 indexed citations
17.
Lai, Te-Jen, Sheng-Feng Hsu, Te-Mao Li, et al.. (2007). Alendronate inhibits cell invasion and MMP-2 secretion in human chondrosarcoma cell line. Acta Pharmacologica Sinica. 28(8). 1231–1235. 23 indexed citations
18.
Lin, Jin‐Ching, et al.. (2006). Assessment of Salivary Function Change in Nasopharyngeal Carcinoma Treated by Parotid-Sparing Radiotherapy. The Cancer Journal. 12(6). 494–500. 12 indexed citations
19.
Wang, John, Ya‐Wen Cheng, De‐Wei Wu, et al.. (2005). Frequent FHIT gene loss of heterozygosity in human papillomavirus-infected non-smoking female lung cancer in Taiwan. Cancer Letters. 235(1). 18–25. 28 indexed citations
20.
Lu, Tsung‐Hsueh, Meng-Chih Lee, & Ming-Chih Chou. (2000). Accuracy of cause-of-death coding in Taiwan: types of miscoding and effects on mortality statistics. International Journal of Epidemiology. 29(2). 336–343. 262 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026