Pei‐Ming Yang

10.2k total citations
57 papers, 1.4k citations indexed

About

Pei‐Ming Yang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Pei‐Ming Yang has authored 57 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 16 papers in Cancer Research and 13 papers in Oncology. Recurrent topics in Pei‐Ming Yang's work include Epigenetics and DNA Methylation (8 papers), Microtubule and mitosis dynamics (7 papers) and Histone Deacetylase Inhibitors Research (6 papers). Pei‐Ming Yang is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), Microtubule and mitosis dynamics (7 papers) and Histone Deacetylase Inhibitors Research (6 papers). Pei‐Ming Yang collaborates with scholars based in Taiwan, United States and China. Pei‐Ming Yang's co-authors include Tsang-Pai Liu, Ching‐Chow Chen, Kuen‐Haur Lee, Shu-Jun Chiu, Jiunn-Chang Lin, Tsang‐Pai Liu, Tai‐Long Pan, Yi‐Jang Lee, Pei-Wen Wang and Chien‐Fu Hung and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Pei‐Ming Yang

56 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pei‐Ming Yang Taiwan 24 819 335 266 183 151 57 1.4k
Ying Sun China 24 1.1k 1.3× 392 1.2× 379 1.4× 178 1.0× 207 1.4× 93 2.1k
Sung‐Jig Lim South Korea 24 766 0.9× 310 0.9× 387 1.5× 183 1.0× 199 1.3× 69 1.7k
Daniela Carlisi Italy 26 1.2k 1.4× 508 1.5× 283 1.1× 164 0.9× 92 0.6× 54 1.7k
Bilal Rah India 20 653 0.8× 199 0.6× 238 0.9× 115 0.6× 122 0.8× 47 1.2k
Changzheng Li China 22 719 0.9× 277 0.8× 240 0.9× 223 1.2× 205 1.4× 78 1.4k
Yancun Yin China 18 654 0.8× 232 0.7× 198 0.7× 144 0.8× 98 0.6× 33 1.2k
Eun Ju Kim South Korea 18 606 0.7× 249 0.7× 159 0.6× 180 1.0× 94 0.6× 57 1.2k
Bing Xu China 20 913 1.1× 340 1.0× 155 0.6× 293 1.6× 96 0.6× 43 1.4k
Dong Joon Kim China 25 1.4k 1.7× 404 1.2× 320 1.2× 114 0.6× 137 0.9× 58 2.0k
Napoleón Navarro‐Tito Mexico 20 595 0.7× 432 1.3× 296 1.1× 117 0.6× 78 0.5× 53 1.2k

Countries citing papers authored by Pei‐Ming Yang

Since Specialization
Citations

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

Fields of papers citing papers by Pei‐Ming Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei‐Ming Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Pei‐Ming Yang. A scholar is included among the top collaborators of Pei‐Ming Yang 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 Pei‐Ming Yang. Pei‐Ming Yang 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.
Chan, Tze‐Sian, Chung‐Chi Hsu, Pei‐Ming Yang, et al.. (2024). ASPM stabilizes the NOTCH intracellular domain 1 and promotes oncogenesis by blocking FBXW7 binding in hepatocellular carcinoma cells. Molecular Oncology. 18(3). 562–579. 2 indexed citations
3.
Du, Jialing, et al.. (2023). Repositioning VU ‐0365114 as a novel microtubule‐destabilizing agent for treating cancer and overcoming drug resistance. Molecular Oncology. 18(2). 386–414. 4 indexed citations
4.
Lin, Jiunn-Chang, et al.. (2023). Inhibition of CDK9 exhibits anticancer activity in hepatocellular carcinoma cells via targeting ribonucleotide reductase. Toxicology and Applied Pharmacology. 471. 116568–116568. 2 indexed citations
5.
Hsu, Chung‐Chi, Hung‐Wen Tsai, Wen‐Ying Liao, et al.. (2023). ASPM Activates Hedgehog and Wnt Signaling to Promote Small Cell Lung Cancer Stemness and Progression. Cancer Research. 83(6). 830–844. 24 indexed citations
6.
Cheng, Ya‐Wen, et al.. (2022). Repurposing of ingenol mebutate for treating human colorectal cancer by targeting S100 calcium-binding protein A4 (S100A4). Toxicology and Applied Pharmacology. 449. 116134–116134. 6 indexed citations
7.
Huang, Shenq‐Shyang, et al.. (2021). A Novel Invadopodia-Specific Marker for Invasive and Pro-Metastatic Cancer Stem Cells. Frontiers in Oncology. 11. 638311–638311. 6 indexed citations
8.
Hsieh, Yi‐Chen, et al.. (2020). Dicoumarol suppresses HMGA2-mediated oncogenic capacities and inhibits cell proliferation by inducing apoptosis in colon cancer. Biochemical and Biophysical Research Communications. 524(4). 1003–1009. 16 indexed citations
9.
10.
Liu, Tsang-Pai, et al.. (2019). In silico repurposing the Rac1 inhibitor NSC23766 for treating PTTG1-high expressing clear cell renal carcinoma. Pathology - Research and Practice. 215(6). 152373–152373. 5 indexed citations
11.
Yang, Pei‐Ming, et al.. (2014). Radiation induces senescence and a bystander effect through metabolic alterations. Cell Death and Disease. 5(5). e1255–e1255. 79 indexed citations
12.
Lee, Kuen‐Haur, et al.. (2014). A gene expression signature-based approach reveals the mechanisms of action of the Chinese herbal medicine berberine. Scientific Reports. 4(1). 6394–6394. 40 indexed citations
13.
Yang, Pei‐Ming, et al.. (2014). Autophagy promotes radiation-induced senescence but inhibits bystander effects in human breast cancer cells. Autophagy. 10(7). 1212–1228. 64 indexed citations
14.
Chen, Chi‐Long, Hung Hung, Pei‐Ming Yang, et al.. (2013). Upregulation of Endocan by Epstein-Barr Virus Latent Membrane Protein 1 and Its Clinical Significance in Nasopharyngeal Carcinoma. PLoS ONE. 8(12). e82254–e82254. 21 indexed citations
15.
Yang, Pei‐Ming, Yi-Ting Lin, Chia‐Tung Shun, et al.. (2013). Zebularine inhibits tumorigenesis and stemness of colorectal cancer via p53-dependent endoplasmic reticulum stress. Scientific Reports. 3(1). 3219–3219. 65 indexed citations
16.
Yang, Pei‐Ming, et al.. (2012). CD1d induction in solid tumor cells by histone deacetylase inhibitors through inhibition of HDAC1/2 and activation of Sp1. Epigenetics. 7(4). 390–399. 23 indexed citations
17.
Yang, Pei‐Ming, et al.. (2010). Securin depletion sensitizes human colon cancer cells to fisetin-induced apoptosis. Cancer Letters. 300(1). 96–104. 32 indexed citations
18.
Huang, Wenyu, Pei‐Ming Yang, Yu-Fan Chang, Víctor E. Márquez, & Ching‐Chow Chen. (2010). Methotrexate induces apoptosis through p53/p21-dependent pathway and increases E-cadherin expression through downregulation of HDAC/EZH2. Biochemical Pharmacology. 81(4). 510–517. 49 indexed citations
19.
Yang, Pei‐Ming, Wei‐Chien Huang, Yi‐Chu Lin, et al.. (2009). Loss of IKKβ activity increases p53 stability and p21 expression leading to cell cycle arrest and apoptosis. Journal of Cellular and Molecular Medicine. 14(3). 687–698. 21 indexed citations
20.
Yang, Pei‐Ming, et al.. (2009). Inhibition of histone deacetylase activity is a novel function of the antifolate drug methotrexate. Biochemical and Biophysical Research Communications. 391(3). 1396–1399. 16 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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