Wen Tan

13.4k total citations
125 papers, 6.3k citations indexed

About

Wen Tan is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Wen Tan has authored 125 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Molecular Biology, 46 papers in Oncology and 33 papers in Cancer Research. Recurrent topics in Wen Tan's work include RNA modifications and cancer (24 papers), DNA Repair Mechanisms (21 papers) and Epigenetics and DNA Methylation (18 papers). Wen Tan is often cited by papers focused on RNA modifications and cancer (24 papers), DNA Repair Mechanisms (21 papers) and Epigenetics and DNA Methylation (18 papers). Wen Tan collaborates with scholars based in China, United States and United Kingdom. Wen Tan's co-authors include Dongxin Lin, Xiaoping Miao, Dianke Yu, Chen Wu, Xuemei Zhang, Ming Yang, Deyin Xing, Yifeng Zhou, Chun-Yuan Yu and Yongli Guo and has published in prestigious journals such as Nature Communications, Nature Genetics and The Journal of Experimental Medicine.

In The Last Decade

Wen Tan

122 papers receiving 6.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen Tan China 46 3.9k 2.1k 1.8k 773 747 125 6.3k
Yasushi Adachi Japan 41 2.5k 0.6× 1.3k 0.6× 1.7k 1.0× 786 1.0× 560 0.7× 214 5.2k
Kohji Miyazaki Japan 46 2.9k 0.7× 1.2k 0.6× 2.0k 1.1× 1.5k 2.0× 997 1.3× 327 7.1k
Manfred Boehm United States 34 3.5k 0.9× 1.1k 0.5× 990 0.6× 884 1.1× 528 0.7× 80 6.2k
Roeland Hanemaaijer Netherlands 49 2.0k 0.5× 2.1k 1.0× 1.4k 0.8× 1.0k 1.4× 1.2k 1.6× 104 6.4k
Jin‐Tang Dong China 49 5.7k 1.5× 2.0k 0.9× 1.5k 0.8× 558 0.7× 1.2k 1.6× 210 8.0k
Gaoliang Ouyang China 31 3.3k 0.9× 1.6k 0.8× 1.6k 0.9× 477 0.6× 441 0.6× 51 5.8k
H. William Schnaper United States 42 3.1k 0.8× 1.1k 0.5× 639 0.4× 470 0.6× 648 0.9× 84 6.1k
Yulin Li China 44 3.3k 0.8× 1.2k 0.6× 1.1k 0.6× 845 1.1× 704 0.9× 220 7.0k
Shigeru Kanda Japan 45 2.8k 0.7× 1.0k 0.5× 962 0.5× 793 1.0× 514 0.7× 133 5.4k
Seyed H. Ghaffari Iran 36 3.7k 0.9× 1.6k 0.8× 872 0.5× 469 0.6× 536 0.7× 205 6.5k

Countries citing papers authored by Wen Tan

Since Specialization
Citations

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

Fields of papers citing papers by Wen Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Tan. A scholar is included among the top collaborators of Wen 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 Wen Tan. Wen 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.
Zhu, Liang, Xinjie Chen, Tianyuan Liu, et al.. (2024). Hypoxia-Induced Senescent Fibroblasts Secrete IGF1 to Promote Cancer Stemness in Esophageal Squamous Cell Carcinoma. Cancer Research. 85(6). 1064–1081. 17 indexed citations
2.
Chen, Xinjie, Shaosen Zhang, Wenyi Fan, et al.. (2023). Collagen 1-mediated CXCL1 secretion in tumor cells activates fibroblasts to promote radioresistance of esophageal cancer. Cell Reports. 42(10). 113270–113270. 23 indexed citations
3.
Yang, Jie, Tao Xiang, Shihao Zhu, et al.. (2023). Comprehensive Analyses Reveal Effects on Tumor Immune Infiltration and Immunotherapy Response of APOBEC Mutagenesis and Its Molecular Mechanisms in Esophageal Squamous Cell Carcinoma. International Journal of Biological Sciences. 19(8). 2551–2571. 5 indexed citations
4.
Zhang, Taiping, Quan Liao, Menghua Dai, et al.. (2020). Metformin inhibits pancreatic cancer metastasis caused by SMAD4 deficiency and consequent HNF4G upregulation. Protein & Cell. 12(2). 128–144. 56 indexed citations
5.
6.
Han, Wei, Yuling Zhou, Rong Zhong, et al.. (2013). Functional Polymorphisms in FAS/FASL System Increase the Risk of Neuroblastoma in Chinese Population. PLoS ONE. 8(8). e71656–e71656. 27 indexed citations
7.
Hu, Mei, et al.. (2013). [The associations between idiosyncratic adverse drug reactions and HLA alleles and their underlying mechanism].. PubMed. 48(6). 799–808. 2 indexed citations
8.
Zhai, Kan, Xiaobo Tian, Chen Wu, et al.. (2012). Cytokine BAFF Gene Variation Is Associated with Survival of Patients with T-cell Lymphomas. Clinical Cancer Research. 18(8). 2250–2256. 10 indexed citations
9.
Xiong, Fang, Chen Wu, Jiang Chang, et al.. (2011). Genetic Variation in an miRNA-1827 Binding Site in MYCL1 Alters Susceptibility to Small-Cell Lung Cancer. Cancer Research. 71(15). 5175–5181. 60 indexed citations
10.
Guo, Yong‐Xin, Xuan Zhang, Ming Yang, et al.. (2010). Functional evaluation of missense variations in the human MAD1L1 and MAD2L1 genes and their impact on susceptibility to lung cancer. Journal of Medical Genetics. 47(9). 616–622. 39 indexed citations
11.
Wu, Chen, Zhibin Hu, Dianke Yu, et al.. (2009). Genetic Variants on Chromosome 15q25 Associated with Lung Cancer Risk in Chinese Populations. Cancer Research. 69(12). 5065–5072. 114 indexed citations
12.
Chen, Hongyan, Dianke Yu, Aiping Luo, et al.. (2009). Functional Role of S100A14 Genetic Variants and Their Association with Esophageal Squamous Cell Carcinoma. Cancer Research. 69(8). 3451–3457. 36 indexed citations
13.
Wang, Guanghai, Dianke Yu, Wen Tan, et al.. (2009). Genetic polymorphism in chemokine CCL22 and susceptibility to Helicobacter pylori infection‐related gastric carcinoma. Cancer. 115(11). 2430–2437. 15 indexed citations
14.
Singh, Purnima, Ming Yang, Huifang Dai, et al.. (2008). Overexpression and Hypomethylation of Flap Endonuclease 1 Gene in Breast and Other Cancers. Molecular Cancer Research. 6(11). 1710–1717. 104 indexed citations
15.
Yu, Dianke, Xuemei Zhang, Ju Liu, et al.. (2008). Characterization of Functional Excision Repair Cross-Complementation Group 1 Variants and Their Association with Lung Cancer Risk and Prognosis. Clinical Cancer Research. 14(9). 2878–2886. 44 indexed citations
16.
Sun, Tong, Yifeng Zhou, Ming Yang, et al.. (2008). Functional Genetic Variations in Cytotoxic T-Lymphocyte Antigen 4 and Susceptibility to Multiple Types of Cancer. Cancer Research. 68(17). 7025–7034. 138 indexed citations
17.
18.
Sun, Tong, Yang Gao, Wen Tan, et al.. (2007). A six-nucleotide insertion-deletion polymorphism in the CASP8 promoter is associated with susceptibility to multiple cancers. Nature Genetics. 39(5). 605–613. 218 indexed citations
19.
Hao, Bingtao, Xiaoping Miao, Xuan Zhang, et al.. (2006). A novel T-77C polymorphism in DNA repair gene XRCC1 contributes to diminished promoter activity and increased risk of non-small cell lung cancer. Oncogene. 25(25). 3613–3620. 91 indexed citations
20.
Sun, Tong, Yifeng Zhou, Hua Li, et al.. (2005). FASL –844C polymorphism is associated with increased activation-induced T cell death and risk of cervical cancer. The Journal of Experimental Medicine. 202(7). 967–974. 97 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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