Ming‐Cheng Lee

1.0k total citations
34 papers, 510 citations indexed

About

Ming‐Cheng Lee is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Ming‐Cheng Lee has authored 34 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Immunology and 7 papers in Cancer Research. Recurrent topics in Ming‐Cheng Lee's work include RNA modifications and cancer (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Ubiquitin and proteasome pathways (3 papers). Ming‐Cheng Lee is often cited by papers focused on RNA modifications and cancer (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Ubiquitin and proteasome pathways (3 papers). Ming‐Cheng Lee collaborates with scholars based in Taiwan, United States and China. Ming‐Cheng Lee's co-authors include Shu‐Chen Wei, Po‐Nien Tsao, Miao‐Tzu Huang, Mao‐Liang Chen, Fu‐Ming Tsai, Wu‐Shiun Hsieh, Hung‐Chieh Chou, Yin‐Kai Chen, Bor‐Ru Lin and Chien‐Yi Chen and has published in prestigious journals such as PLoS ONE, Development and International Journal of Molecular Sciences.

In The Last Decade

Ming‐Cheng Lee

34 papers receiving 506 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‐Cheng Lee Taiwan 15 223 118 104 98 73 34 510
Hideyuki Higashi United States 12 287 1.3× 121 1.0× 120 1.2× 99 1.0× 147 2.0× 24 693
Tanja Davis South Africa 12 342 1.5× 100 0.8× 60 0.6× 90 0.9× 94 1.3× 19 588
Su Dong China 14 364 1.6× 78 0.7× 77 0.7× 103 1.1× 72 1.0× 39 592
Vitaly I. Pozdeev Germany 10 193 0.9× 101 0.9× 70 0.7× 102 1.0× 99 1.4× 16 483
Xingchun Zhou China 15 323 1.4× 246 2.1× 72 0.7× 113 1.2× 123 1.7× 22 649
Qingtian Li United States 12 394 1.8× 187 1.6× 63 0.6× 74 0.8× 103 1.4× 24 766
Hong Jin China 16 336 1.5× 83 0.7× 54 0.5× 64 0.7× 53 0.7× 33 597
Lijun Mo China 14 223 1.0× 172 1.5× 55 0.5× 104 1.1× 173 2.4× 34 571
Laura D’Ignazio United Kingdom 8 273 1.2× 159 1.3× 83 0.8× 283 2.9× 68 0.9× 10 641
Cristina Bértolo Spain 11 229 1.0× 192 1.6× 81 0.8× 89 0.9× 162 2.2× 19 578

Countries citing papers authored by Ming‐Cheng Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Cheng Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Cheng Lee. 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‐Cheng Lee. The network helps show where Ming‐Cheng Lee may publish in the future.

Co-authorship network of co-authors of Ming‐Cheng Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Cheng Lee. A scholar is included among the top collaborators of Ming‐Cheng Lee 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‐Cheng Lee. Ming‐Cheng Lee 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.
2.
Cheng, Ching‐Feng, et al.. (2023). Phosphofructokinase Platelet Overexpression Accelerated Colorectal Cancer Cell Growth and Motility. Journal of Cancer. 14(6). 943–951. 12 indexed citations
3.
Ma, Chun, Kao-Jung Chang, Ming‐Cheng Lee, et al.. (2022). The Post-Translational Modification Networking in WNK-Centric Hypertension Regulation and Electrolyte Homeostasis. Biomedicines. 10(9). 2169–2169. 2 indexed citations
4.
Tsai, Kuo‐Wang, Yating Tu, Ming‐Cheng Lee, et al.. (2021). LOC550643, a Long Non-coding RNA, Acts as Novel Oncogene in Regulating Breast Cancer Growth and Metastasis. Frontiers in Cell and Developmental Biology. 9. 695632–695632. 7 indexed citations
5.
Lee, Ming‐Cheng, et al.. (2021). Zinc supplementation augments the suppressive effects of repurposed NF-κB inhibitors on ACE2 expression in human lung cell lines. Life Sciences. 280. 119752–119752. 19 indexed citations
6.
7.
Wu, Semon, Wen‐Cheng Huang, Yu‐Heng Lai, et al.. (2020). Establishment of an Immunocompetent Metastasis Rat Model with Hepatocyte Cancer Stem Cells. Cancers. 12(12). 3721–3721. 2 indexed citations
8.
Chen, Yen‐Chih, et al.. (2020). Involvement of the MicroRNA-1-LITAF Axis in Gastric Cancer Cell Growth and Invasion. Anticancer Research. 40(11). 6247–6256. 7 indexed citations
9.
Shyu, Rong‐Yaun, Chun‐Hua Wang, Chang‐Chieh Wu, et al.. (2019). Tazarotene-Induced Gene 1 (TIG1) Interacts with Serine Protease Inhibitor Kazal-Type 2 (SPINK2) to Inhibit Cellular Invasion of Testicular Carcinoma Cells. BioMed Research International. 2019. 1–10. 15 indexed citations
10.
Tsai, Fu‐Ming, Lu‐Kai Wang, Mao‐Liang Chen, et al.. (2019). Extracellular Signal-Regulated Kinase Mediates Ebastine-Induced Human Follicle Dermal Papilla Cell Proliferation. BioMed Research International. 2019. 1–9. 4 indexed citations
11.
Yeh, Yung‐Hsiang, Mao‐Liang Chen, Fu‐Ming Tsai, et al.. (2019). Apoptotic effects of hsian‐tsao (Mesona procumbens Hemsley) on hepatic stellate cells mediated by reactive oxygen species and ERK, JNK, and caspase‐3 pathways. Food Science & Nutrition. 7(5). 1891–1898. 10 indexed citations
12.
Lee, Ming‐Cheng, et al.. (2018). Proteomic study revealed antipsychotics-induced nuclear protein regulations in B35 cells are similar to the regulations in C6 cells and rat cortex. BMC Pharmacology and Toxicology. 19(1). 9–9. 3 indexed citations
13.
Chen, Mao‐Liang, et al.. (2016). Antipsychotic drugs induce cell cytoskeleton reorganization in glial and neuronal cells via Rho/Cdc42 signal pathway. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 71. 14–26. 11 indexed citations
14.
Wu, Semon, Lung‐An Hsu, Ming‐Sheng Teng, et al.. (2016). Interactive effects of C-reactive protein levels on the association between APOE variants and triglyceride levels in a Taiwanese population. Lipids in Health and Disease. 15(1). 94–94. 16 indexed citations
15.
Shyu, Rong‐Yaun, Chun‐Hua Wang, Chang‐Chieh Wu, et al.. (2016). Tazarotene-Induced Gene 1 Enhanced Cervical CellAutophagy through Transmembrane Protein 192. Molecules and Cells. 39(12). 877–887. 15 indexed citations
16.
Lee, Ming‐Cheng, Yuan‐Yeh Kuo, Wen‐Chien Chou, et al.. (2013). Gfi-1 is the transcriptional repressor ofSOCS1in acute myeloid leukemia cells. Journal of Leukocyte Biology. 95(1). 105–115. 19 indexed citations
17.
Tsao, Po‐Nien, Shu‐Chen Wei, Ming‐Fang Wu, et al.. (2011). Notch signaling prevents mucous metaplasia in mouse conducting airways during postnatal development. Development. 138(16). 3533–43. 69 indexed citations
18.
Tsao, Po‐Nien, Shu‐Chen Wei, Miao‐Tzu Huang, et al.. (2011). Lipopolysaccharide-induced Notch signaling activation through JNK-dependent pathway regulates inflammatory response. Journal of Biomedical Science. 18(1). 56–56. 87 indexed citations
19.
Lee, Ming‐Cheng, Chang‐Hsun Hsieh, Shu‐Chen Wei, et al.. (2008). Ectopic EBP2 expression enhances cyclin E1 expression and induces chromosome instability in HEK293 stable clones. BMB Reports. 41(10). 716–721. 4 indexed citations
20.
Lee, Ming‐Cheng, et al.. (2007). The Acid-base Balance of the Hemolymph of the Hard Clam (Meretrix lusoria) is Affected by Aerial Exposure and Cellular Hypoxia-inducing Factors. 臺灣水產學會刊. 34(2). 177–185. 2 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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