Sheng Tan

2.2k total citations
55 papers, 1.5k citations indexed

About

Sheng Tan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Sheng Tan has authored 55 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 21 papers in Cancer Research and 14 papers in Oncology. Recurrent topics in Sheng Tan's work include RNA modifications and cancer (20 papers), Cancer-related molecular mechanisms research (15 papers) and RNA Research and Splicing (14 papers). Sheng Tan is often cited by papers focused on RNA modifications and cancer (20 papers), Cancer-related molecular mechanisms research (15 papers) and RNA Research and Splicing (14 papers). Sheng Tan collaborates with scholars based in China, Singapore and New Zealand. Sheng Tan's co-authors include Tao Zhu, Peter E. Lobie, Keshuo Ding, Weijie Zhang, Guoxiang Wang, Pengxu Qian, Zhengsheng Wu, Rui Li, Xiangjun Kong and Zhengsheng Wu and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Sheng Tan

54 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheng Tan China 26 1.1k 791 238 139 84 55 1.5k
Sung-Hee Chang United States 14 1.0k 0.9× 511 0.6× 287 1.2× 107 0.8× 88 1.0× 16 1.9k
Dandan Wang China 29 1.2k 1.2× 1.1k 1.4× 190 0.8× 114 0.8× 46 0.5× 62 1.8k
Xianyue Ren China 24 1.1k 1.0× 636 0.8× 252 1.1× 143 1.0× 33 0.4× 56 1.6k
Ivan Vannini Italy 20 1.1k 1.0× 807 1.0× 309 1.3× 137 1.0× 52 0.6× 43 1.5k
Chandramu Chetty United States 24 923 0.9× 730 0.9× 451 1.9× 148 1.1× 44 0.5× 32 1.6k
Claire Viallard France 9 798 0.7× 452 0.6× 355 1.5× 202 1.5× 146 1.7× 10 1.4k
Jianjun Li China 18 684 0.6× 671 0.8× 224 0.9× 113 0.8× 42 0.5× 30 1.1k
Guang‐Yuh Chiou Taiwan 19 1.0k 1.0× 524 0.7× 394 1.7× 99 0.7× 97 1.2× 32 1.5k
Ke Sai China 21 574 0.5× 359 0.5× 281 1.2× 231 1.7× 78 0.9× 66 1.2k

Countries citing papers authored by Sheng Tan

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Tan. A scholar is included among the top collaborators of Sheng 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 Sheng Tan. Sheng 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.
Ji, Wei, et al.. (2024). Involvement of PD-1+CD4+ T cells in the development of traumatic tracheal stenosis by regulating the IL-17/STAT3 pathway. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(6). 167216–167216. 1 indexed citations
2.
Tan, Sheng, et al.. (2023). Integrative transcriptome analysis reveals alternative polyadenylation potentially contributes to GCRV early infection. Frontiers in Microbiology. 14. 1269164–1269164. 1 indexed citations
3.
Loh, Amos Hong Pheng, Min Thura, Abhishek Gupta, et al.. (2023). Exploiting frequent and specific expression of PRL3 in pediatric solid tumors for first-in-child use of PRL3-zumab humanized antibody. Molecular Therapy — Oncolytics. 30. 153–166. 1 indexed citations
4.
Zhao, Rongrong, Yi Sun, Qiang Wu, et al.. (2022). An Alternatively Spliced p62 Isoform Confers Resistance to Chemotherapy in Breast Cancer. Cancer Research. 82(21). 4001–4015. 14 indexed citations
5.
Tan, Sheng, et al.. (2021). Significance of TP53 Mutation in Cellular Process and Disease Progression in Lung Adenocarcinoma. Genetic Testing and Molecular Biomarkers. 25(5). 346–354. 5 indexed citations
6.
Tan, Sheng, Ming Zhang, Keshuo Ding, et al.. (2021). CPSF6 links alternative polyadenylation to metabolism adaption in hepatocellular carcinoma progression. Journal of Experimental & Clinical Cancer Research. 40(1). 85–85. 45 indexed citations
7.
Ding, Keshuo, et al.. (2021). Suppression of CPSF6 Enhances Apoptosis Through Alternative Polyadenylation-Mediated Shortening of the VHL 3′UTR in Gastric Cancer Cells. Frontiers in Genetics. 12. 707644–707644. 14 indexed citations
8.
W, Liu, Bing Du, Sheng Tan, et al.. (2020). Vertical Guided Bone Regeneration in the Rabbit Calvarium Using Porous Nanohydroxyapatite Block Grafts Coated with rhVEGF165 and Cortical Perforation. SHILAP Revista de lepidopterología.
9.
Wang, Xiaonan, Hao Wang, Xiaodong Yuan, et al.. (2020). PCBP2 Posttranscriptional Modifications Induce Breast Cancer Progression via Upregulation of UFD1 and NT5E. Molecular Cancer Research. 19(1). 86–98. 21 indexed citations
10.
Shi, Ming, Sheng Tan, Ao Li, et al.. (2020). Globally learning gene regulatory networks based on hidden atomic regulators from transcriptomic big data. BMC Genomics. 21(1). 711–711. 1 indexed citations
11.
Zhu, Yong, Qing-Yun Chong, Hong Yan, et al.. (2019). <p>Long noncoding RNA Linc00460 promotes breast cancer progression by regulating the miR-489-5p/FGF7/AKT axis</p>. Cancer Management and Research. Volume 11. 5983–6001. 38 indexed citations
12.
Zhang, Weijie, Mingming Wu, Qing-Yun Chong, et al.. (2018). Loss of Estrogen-Regulated MIR135A1 at 3p21.1 Promotes Tamoxifen Resistance in Breast Cancer. Cancer Research. 78(17). 4915–4928. 25 indexed citations
13.
Wu, Jun, Wei Xu, Sheng Tan, et al.. (2018). Genome-wide profiling reveals cancer-related genes with switched alternative polyadenylation sites in colorectal cancer. OncoTargets and Therapy. Volume 11. 5349–5357. 8 indexed citations
14.
Liu, Yuan, Sheng Tan, Hao Zhang, et al.. (2017). Selective effects of non-thermal atmospheric plasma on triple-negative breast normal and carcinoma cells through different cell signaling pathways. Scientific Reports. 7(1). 7980–7980. 42 indexed citations
16.
Qian, Pengxu, Arindam Banerjee, Zhengsheng Wu, et al.. (2012). Loss of SNAIL Regulated miR-128-2 on Chromosome 3p22.3 Targets Multiple Stem Cell Factors to Promote Transformation of Mammary Epithelial Cells. Cancer Research. 72(22). 6036–6050. 79 indexed citations
17.
Qian, Pengxu, Zehua Zuo, Zhengsheng Wu, et al.. (2011). Pivotal Role of Reduced let-7g Expression in Breast Cancer Invasion and Metastasis. Cancer Research. 71(20). 6463–6474. 125 indexed citations
18.
Woo, Keng Thye, H. K. Tan, Marjorie Foo, et al.. (2009). Beneficial effects of high-dose losartan in IgA nephritis. Clinical Nephrology. 71(6). 617–624. 27 indexed citations
19.
Tan, Sheng, Jiaming Guo, Qianli Huang, et al.. (2007). Retained introns increase putative microRNA targets within 3′ UTRs of human mRNA. FEBS Letters. 581(6). 1081–1086. 29 indexed citations
20.
Tan, Sheng, Ee-Chon Teo, & H.C. Chua. (2001). Quantitative three-dimensional anatomy of lumbar vertebrae in Singaporean Asians. European Spine Journal. 11(2). 152–158. 32 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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