Bertrand Chin‐Ming Tan

2.7k total citations
63 papers, 1.9k citations indexed

About

Bertrand Chin‐Ming Tan is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Bertrand Chin‐Ming Tan has authored 63 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 17 papers in Cancer Research and 8 papers in Cell Biology. Recurrent topics in Bertrand Chin‐Ming Tan's work include RNA Research and Splicing (15 papers), RNA regulation and disease (12 papers) and RNA and protein synthesis mechanisms (11 papers). Bertrand Chin‐Ming Tan is often cited by papers focused on RNA Research and Splicing (15 papers), RNA regulation and disease (12 papers) and RNA and protein synthesis mechanisms (11 papers). Bertrand Chin‐Ming Tan collaborates with scholars based in Taiwan, China and United States. Bertrand Chin‐Ming Tan's co-authors include Sheng-Chung Lee, Hsuan Liu, Cheng‐Ting Chien, Susumu Hirose, Zhiyu Peng, Lin Kang, Yuankun Zhu, Jun Wang, Yanbing Cheng and Wenwei Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Bertrand Chin‐Ming Tan

59 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bertrand Chin‐Ming Tan Taiwan 23 1.7k 406 164 137 118 63 1.9k
Alejandro P. Ugalde Spain 19 2.1k 1.3× 588 1.4× 196 1.2× 154 1.1× 115 1.0× 26 2.5k
Olivia S. Rissland United States 18 2.2k 1.4× 592 1.5× 181 1.1× 167 1.2× 99 0.8× 34 2.5k
Roberta Benetti Italy 20 1.6k 1.0× 531 1.3× 194 1.2× 130 0.9× 185 1.6× 26 2.1k
Craig R. Stumpf United States 13 1.7k 1.0× 196 0.5× 210 1.3× 124 0.9× 122 1.0× 23 2.0k
Elena Zelin United States 13 1.1k 0.7× 237 0.6× 157 1.0× 151 1.1× 164 1.4× 14 1.4k
Anne Beugnet Italy 15 1.7k 1.0× 700 1.7× 92 0.6× 126 0.9× 151 1.3× 19 2.0k
Thomas Schwarzl Germany 21 3.0k 1.8× 759 1.9× 125 0.8× 104 0.8× 112 0.9× 31 3.3k
Reut Shalgi Israel 17 1.6k 1.0× 860 2.1× 105 0.6× 90 0.7× 153 1.3× 24 1.9k
Touati Benoukraf Singapore 23 1.5k 0.9× 487 1.2× 285 1.7× 196 1.4× 73 0.6× 47 2.0k
Adam Burkholder United States 23 1.8k 1.1× 346 0.9× 112 0.7× 215 1.6× 65 0.6× 53 2.1k

Countries citing papers authored by Bertrand Chin‐Ming Tan

Since Specialization
Citations

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

Fields of papers citing papers by Bertrand Chin‐Ming Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bertrand Chin‐Ming Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Bertrand Chin‐Ming Tan. A scholar is included among the top collaborators of Bertrand Chin‐Ming Tan 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 Bertrand Chin‐Ming Tan. Bertrand Chin‐Ming Tan 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.
Tsai, Chung‐Ying, Cheng-Lung Hsu, Tzong-Shyuan Tai, et al.. (2025). Asparagine deprivation enhances T cell antitumour response in patients via ROS-mediated metabolic and signal adaptations. Nature Metabolism. 7(5). 918–927. 9 indexed citations
2.
Tsai, Hui‐Ju, Huiwen Chen, Ian Yi‐Feng Chang, et al.. (2024). Noncanonical formation of SNX5 gene-derived circular RNA regulates cancer growth. Cell Death and Disease. 15(8). 599–599. 1 indexed citations
3.
Chen, Hui‐Wen, et al.. (2024). Imbalance in Unc80 RNA Editing Disrupts Dynamic Neuronal Activity and Olfactory Perception. International Journal of Molecular Sciences. 25(11). 5985–5985. 1 indexed citations
4.
Tang, Hsiang-Yu, et al.. (2024). Mitochondrial bioenergetics deficiency in cisd-1 mutants is linked to AMPK-mediated lipid metabolism. Biomedical Journal. 48(4). 100806–100806.
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Kuan, Wen‐Hui, Wei‐Lun Chang, I‐Ying Kuo, et al.. (2022). Dysregulation of SOX17/NRF2 axis confers chemoradiotherapy resistance and emerges as a novel therapeutic target in esophageal squamous cell carcinoma. Journal of Biomedical Science. 29(1). 90–90. 18 indexed citations
8.
Liu, Hsuan, Yuhao Liu, Chih‐Ching Wu, et al.. (2022). Modular scaffolding by lncRNA HOXA10-AS promotes oral cancer progression. Cell Death and Disease. 13(7). 629–629. 12 indexed citations
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Kuo, Rei‐Lin, et al.. (2021). Molecular determinants and heterogeneity underlying host response to EV-A71 infection at single-cell resolution. RNA Biology. 18(5). 796–808. 2 indexed citations
11.
Weng, Yu‐Ting, et al.. (2021). The trophocytes and oenocytes of worker and queen honey bees (Apis mellifera) exhibit distinct age-associated transcriptome profiles. GeroScience. 43(4). 1863–1875. 3 indexed citations
12.
Chang, Ian Yi‐Feng, Yuhao Liu, Hsuan Liu, et al.. (2020). circRNAome Profiling in Oral Carcinoma Unveils a Novel circFLNB that Mediates Tumour Growth-Regulating Transcriptional Response. Cells. 9(8). 1868–1868. 2 indexed citations
13.
Xiao, Xi, Lu Lu, Xuebing Chen, et al.. (2017). The hypoparathyroidism-associated mutation in Drosophila Gcm compromises protein stability and glial cell formation. Scientific Reports. 7(1). 39856–39856. 1 indexed citations
14.
Liu, Hsuan, et al.. (2017). ADAR1-mediated 3′ UTR editing and expression control of antiapoptosis genes fine-tunes cellular apoptosis response. Cell Death and Disease. 8(5). e2833–e2833. 43 indexed citations
15.
Fu, Aisi, Yumei Li, Qing Sunny Shen, et al.. (2017). Isoform Evolution in Primates through Independent Combination of Alternative RNA Processing Events. Molecular Biology and Evolution. 34(10). 2453–2468. 30 indexed citations
16.
Chang, Ian Yi‐Feng, Hui‐Wen Chen, Juu‐Chin Lu, et al.. (2017). The PPARγ‐SETD8 axis constitutes an epigenetic, p53‐independent checkpoint on p21‐mediated cellular senescence. Aging Cell. 16(4). 797–813. 25 indexed citations
17.
Chung, I‐Hsiao, Hsuan Liu, Yang-Hsiang Lin, et al.. (2016). ChIP-on-chip analysis of thyroid hormone-regulated genes and their physiological significance. Oncotarget. 7(16). 22448–22459. 16 indexed citations
18.
Hsu, Hung‐Chih, et al.. (2014). LGR5 regulates survival through mitochondria-mediated apoptosis and by targeting the Wnt/β-catenin signaling pathway in colorectal cancer cells. Cellular Signalling. 26(11). 2333–2342. 30 indexed citations
19.
Liu, Hsuan, et al.. (2011). WDHD1 modulates the post-transcriptional step of the centromeric silencing pathway. Nucleic Acids Research. 39(10). 4048–4062. 44 indexed citations
20.
Chen, Yi‐Jiun, Bertrand Chin‐Ming Tan, Ya-Yun Cheng, Jin‐Shing Chen, & Sheng-Chung Lee. (2009). Differential regulation of CHOP translation by phosphorylated eIF4E under stress conditions. Nucleic Acids Research. 38(3). 764–777. 49 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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