Yongjun Tan

2.7k total citations · 1 hit paper
44 papers, 2.2k citations indexed

About

Yongjun Tan is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Yongjun Tan has authored 44 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 10 papers in Surgery and 9 papers in Oncology. Recurrent topics in Yongjun Tan's work include FOXO transcription factor regulation (27 papers), Genetics and Neurodevelopmental Disorders (8 papers) and Pancreatic function and diabetes (8 papers). Yongjun Tan is often cited by papers focused on FOXO transcription factor regulation (27 papers), Genetics and Neurodevelopmental Disorders (8 papers) and Pancreatic function and diabetes (8 papers). Yongjun Tan collaborates with scholars based in China, United States and Macao. Yongjun Tan's co-authors include Robert H. Costa, Douglas E. Hughes, I‐Ching Wang, Michael L. Major, Xinhe Wang, Pradip Raychaudhuri, Vladimír Petrovič, Yi‐Ju Chen, Hyun Jung Park and Timothy Ackerson 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

Yongjun Tan

43 papers receiving 2.1k citations

Hit Papers

Forkhead Box M1 Regulates the Transcriptional Network of ... 2005 2026 2012 2019 2005 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongjun Tan China 22 1.8k 447 388 303 232 44 2.2k
Yoshinobu Toda Japan 26 1.2k 0.6× 496 1.1× 293 0.8× 440 1.5× 136 0.6× 50 2.0k
Axelle Cadoret France 20 1.0k 0.6× 269 0.6× 313 0.8× 263 0.9× 98 0.4× 27 1.7k
Esra Erdal Türkiye 22 825 0.5× 345 0.8× 179 0.5× 316 1.0× 121 0.5× 43 1.5k
Hideyuki Komekado Japan 15 737 0.4× 441 1.0× 166 0.4× 157 0.5× 80 0.3× 30 1.4k
Janelle Simon United States 11 993 0.6× 727 1.6× 92 0.2× 379 1.3× 154 0.7× 13 2.0k
Juanjuan Shan China 24 1.4k 0.8× 635 1.4× 93 0.2× 735 2.4× 148 0.6× 41 2.1k
Heidi L. Kenerson United States 23 801 0.4× 518 1.2× 110 0.3× 202 0.7× 100 0.4× 45 1.7k
Jiyun Yoo South Korea 23 1.2k 0.7× 413 0.9× 119 0.3× 245 0.8× 108 0.5× 53 1.8k
Franziska van Zijl Austria 11 824 0.5× 604 1.4× 114 0.3× 371 1.2× 120 0.5× 13 1.6k
Susanne Sebens Müerköster Germany 26 1.4k 0.8× 1.2k 2.7× 220 0.6× 580 1.9× 137 0.6× 34 2.6k

Countries citing papers authored by Yongjun Tan

Since Specialization
Citations

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

Fields of papers citing papers by Yongjun Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yongjun 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 Yongjun Tan. The network helps show where Yongjun Tan may publish in the future.

Co-authorship network of co-authors of Yongjun Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Yongjun Tan. A scholar is included among the top collaborators of Yongjun 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 Yongjun Tan. Yongjun 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.
Ouyang, Min, et al.. (2024). The antitumor peptide M1-20 induced the degradation of CDK1 through CUL4-DDB1-DCAF1-involved ubiquitination. Cancer Gene Therapy. 32(1). 61–70. 3 indexed citations
2.
Ouyang, Min, et al.. (2023). Development of an interfering peptide M1-20 with potent anti-cancer effects by targeting FOXM1. Cell Death and Disease. 14(8). 533–533. 2 indexed citations
3.
Tan, Yongjun, Jing Wan, Xinxin Li, et al.. (2023). Genome‐wide enhancer identification by massively parallel reporter assay in Arabidopsis. The Plant Journal. 116(1). 234–250. 9 indexed citations
4.
Niu, Longjian, Wei Shen, Zhaoying Shi, et al.. (2021). Three-dimensional folding dynamics of the Xenopus tropicalis genome. Nature Genetics. 53(7). 1075–1087. 38 indexed citations
5.
Liu, Yuxiang, et al.. (2021). FOXA2-Interacting FOXP2 Prevents Epithelial-Mesenchymal Transition of Breast Cancer Cells by Stimulating E-Cadherin and PHF2 Transcription. Frontiers in Oncology. 11. 605025–605025. 21 indexed citations
6.
Zhang, Zhenwang, Jingwei Yu, Yan Chen, et al.. (2019). The cell-penetrating FOXM1 N-terminus (M1-138) demonstrates potent inhibitory effects on cancer cells by targeting FOXM1 and FOXM1-interacting factor SMAD3. Theranostics. 9(10). 2882–2896. 13 indexed citations
7.
Xiong, Jing, Chao Yang, Ling Shan, et al.. (2014). Silencing of FOXM1 transcription factor expression by adenovirus-mediated RNA interference inhibits human hepatocellular carcinoma growth. Cancer Gene Therapy. 21(3). 133–138. 23 indexed citations
8.
Chen, Yan, et al.. (2014). The miR-134 attenuates the expression of transcription factor FOXM1 during pluripotent NT2/D1 embryonal carcinoma cell differentiation. Experimental Cell Research. 330(2). 442–450. 17 indexed citations
10.
Yang, Chao, Hui Chen, Guixiang Tan, et al.. (2013). FOXM1 promotes the epithelial to mesenchymal transition by stimulating the transcription of Slug in human breast cancer. Cancer Letters. 340(1). 104–112. 91 indexed citations
11.
Meng, Lei, et al.. (2012). Stable Expression of FoxA1 Promotes Pluripotent P19 Embryonal Carcinoma Cells to Be Neural Stem-Like Cells. Gene Expression. 15(4). 153–162. 8 indexed citations
12.
Tan, Yongjun, Zhongqiu Xie, Miao Ding, et al.. (2009). Increased Levels of FoxA1 Transcription Factor in Pluripotent P19 Embryonal Carcinoma Cells Stimulate Neural Differentiation. Stem Cells and Development. 19(9). 1365–1374. 24 indexed citations
13.
Yoshida, Yuichi, Douglas E. Hughes, Francisco M. Rausa, et al.. (2006). C/EBPα and HNF6 protein complex formation stimulates HNF6-dependent transcription by CBP coactivator recruitment in HepG2 cells. Hepatology. 43(2). 276–286. 32 indexed citations
14.
Tan, Yongjun, Yuichi Yoshida, Douglas E. Hughes, & Robert H. Costa. (2006). Increased Expression of Hepatocyte Nuclear Factor 6 Stimulates Hepatocyte Proliferation During Mouse Liver Regeneration. Gastroenterology. 130(4). 1283–1300. 53 indexed citations
15.
Wang, Minhua, Yongjun Tan, Robert H. Costa, & Ai‐Xuan L. Holterman. (2004). In vivo regulation of murine CYP7A1 by HNF-6: A novel mechanism for diminished CYP7A1 expression in biliary obstruction. Hepatology. 40(3). 600–608. 22 indexed citations
16.
Kalinichenko, Vladimir V., Galina A. Gusarova, Yongjun Tan, et al.. (2003). Ubiquitous Expression of the Forkhead Box M1B Transgene Accelerates Proliferation of Distinct Pulmonary Cell Types following Lung Injury. Journal of Biological Chemistry. 278(39). 37888–37894. 93 indexed citations
17.
Rausa, Francisco M., Yongjun Tan, & Robert H. Costa. (2002). Association between Hepatocyte Nuclear Factor 6 (HNF-6) and FoxA2 DNA Binding Domains Stimulates FoxA2 Transcriptional Activity but Inhibits HNF-6 DNA Binding. Molecular and Cellular Biology. 23(2). 437–449. 65 indexed citations
18.
Tan, Yongjun, Douglas E. Hughes, Xinhe Wang, & Robert H. Costa. (2002). Adenovirus-mediated increase in HNF-3β or HNF-3α shows differences in levels of liver glycogen and gene expression. Hepatology. 35(1). 30–39. 26 indexed citations
19.
Holterman, Ai‐Xuan L., et al.. (2002). Diminished hepatic expression of the HNF-6 transcription factor during bile duct obstruction. Hepatology. 35(6). 1392–1399. 21 indexed citations
20.

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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