Tanjun Tong

4.9k total citations
100 papers, 3.4k citations indexed

About

Tanjun Tong is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Tanjun Tong has authored 100 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 40 papers in Physiology and 25 papers in Oncology. Recurrent topics in Tanjun Tong's work include Telomeres, Telomerase, and Senescence (35 papers), Cancer-related Molecular Pathways (19 papers) and Epigenetics and DNA Methylation (17 papers). Tanjun Tong is often cited by papers focused on Telomeres, Telomerase, and Senescence (35 papers), Cancer-related Molecular Pathways (19 papers) and Epigenetics and DNA Methylation (17 papers). Tanjun Tong collaborates with scholars based in China and United States. Tanjun Tong's co-authors include Zongyu Zhang, Limin Han, Wengong Wang, Jie Yi, Myriam Gorospe, Jianming Duan, Yongfeng Shang, Guodong Li, Lixiang Xue and Xiaotian 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

Tanjun Tong

99 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tanjun Tong China 33 2.2k 897 600 440 343 100 3.4k
Yansong Gu United States 25 2.3k 1.1× 768 0.9× 466 0.8× 817 1.9× 1.1k 3.1× 40 4.2k
Carlo Gaetano Italy 50 4.1k 1.9× 755 0.8× 1.6k 2.6× 544 1.2× 162 0.5× 149 6.1k
Faqi Li China 30 1.3k 0.6× 395 0.4× 127 0.2× 358 0.8× 350 1.0× 91 3.7k
Feng Wang China 30 1.8k 0.8× 681 0.8× 259 0.4× 252 0.6× 54 0.2× 130 3.1k
Jae‐Seon Lee South Korea 39 3.0k 1.4× 650 0.7× 980 1.6× 562 1.3× 68 0.2× 135 4.8k
Ng Shyh‐Chang China 23 4.5k 2.1× 640 0.7× 2.7k 4.6× 716 1.6× 96 0.3× 44 6.3k
Wengong Wang China 37 3.9k 1.8× 324 0.4× 1.6k 2.6× 501 1.1× 65 0.2× 64 4.8k
Shan Jiang China 21 1.1k 0.5× 524 0.6× 419 0.7× 245 0.6× 30 0.1× 93 2.4k
Kyle D. Mansfield United States 23 3.7k 1.7× 674 0.8× 2.6k 4.3× 628 1.4× 76 0.2× 32 5.6k
Nikolay Nikolsky Russia 25 1.1k 0.5× 491 0.5× 209 0.3× 256 0.6× 42 0.1× 87 2.2k

Countries citing papers authored by Tanjun Tong

Since Specialization
Citations

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

Fields of papers citing papers by Tanjun Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanjun Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Tanjun Tong. A scholar is included among the top collaborators of Tanjun Tong 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 Tanjun Tong. Tanjun Tong 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.
Tong, Tanjun, Guanjun Gao, Zhenghui Wang, Jialiang Zhang, & Ziqi Ma. (2025). Dynamic Threshold Decision for Real-Time Underwater Wireless Optical Communication Under Turbulence. IEEE Photonics Technology Letters. 37(11). 641–644.
2.
Sun, Xinpei, et al.. (2023). Epigenetic activation of secretory phenotypes in senescence by the FOXQ1-SIRT4-GDH signaling. Cell Death and Disease. 14(7). 481–481. 7 indexed citations
3.
Huang, Daoyuan, Qian Li, Xinpei Sun, et al.. (2020). CRL4DCAF8 dependent opposing stability control over the chromatin remodeler LSH orchestrates epigenetic dynamics in ferroptosis. Cell Death and Differentiation. 28(5). 1593–1609. 25 indexed citations
4.
Su, Yuanyuan, Hong Shen, Chenzhong Xu, et al.. (2018). The protein kinase D1-mediated classical protein secretory pathway regulates the Ras oncogene-induced senescence response. Journal of Cell Science. 131(6). 17 indexed citations
5.
Fu, Jingxuan, Daoyuan Huang, Fuwen Yuan, et al.. (2018). TRAF-interacting protein with forkhead-associated domain (TIFA) transduces DNA damage–induced activation of NF-κB. Journal of Biological Chemistry. 293(19). 7268–7280. 17 indexed citations
6.
Li, Guodong, et al.. (2017). Micheliolide suppresses LPS-induced neuroinflammatory responses. PLoS ONE. 12(10). e0186592–e0186592. 33 indexed citations
7.
Xie, Nan, Liwei Ma, Feng Zhu, et al.. (2016). Regulation of the MDM2-p53 pathway by the nucleolar protein CSIG in response to nucleolar stress. Scientific Reports. 6(1). 36171–36171. 20 indexed citations
8.
Ma, Liwei, Wenting Zhao, Feng Zhu, et al.. (2015). Global Characteristics of CSIG-Associated Gene Expression Changes in Human HEK293 Cells and the Implications for CSIG Regulating Cell Proliferation and Senescence. Frontiers in Endocrinology. 6. 69–69. 6 indexed citations
9.
Cheng, Qian, Xiaoxiao Cao, Fuwen Yuan, Guodong Li, & Tanjun Tong. (2014). Knockdown of WWP1 inhibits growth and induces apoptosis in hepatoma carcinoma cells through the activation of caspase3 and p53. Biochemical and Biophysical Research Communications. 448(3). 248–254. 43 indexed citations
10.
Li, Qian, Yu Zhang, Jingxuan Fu, et al.. (2013). FOXA1 mediates p16INK4a activation during cellular senescence. The EMBO Journal. 32(6). 858–873. 38 indexed citations
11.
Cao, Xiaoxiao, et al.. (2011). WW Domain-containing E3 Ubiquitin Protein Ligase 1 (WWP1) Delays Cellular Senescence by Promoting p27Kip1 Degradation in Human Diploid Fibroblasts. Journal of Biological Chemistry. 286(38). 33447–33456. 47 indexed citations
12.
Niu, Jing, et al.. (2011). Transcriptional activation of the senescence regulator Lsh by E2F1. Mechanisms of Ageing and Development. 132(4). 180–186. 14 indexed citations
13.
Han, Xiaolin, Ying Sun, Zongyu Zhang, & Tanjun Tong. (2004). P16 reduces the susceptibility to apoptosis in diploid fibroblasts. Zhongguo shengwu huaxue yu fenzi shengwu xuebao. 20(2). 241–246. 1 indexed citations
14.
Guo, Shuzhen, Zongyu Zhang, & Tanjun Tong. (2003). cDNA cloning and function of a new cellular senescence-associated gene CSIG. Zhongguo shengwu huaxue yu fenzi shengwu xuebao. 19(5). 612–617. 1 indexed citations
15.
Mā, Hong, Renzhong Li, Zongyu Zhang, & Tanjun Tong. (2003). mRNA level of alpha-2-macroglobulin as an aging biomarker of human fibroblasts in culture. Experimental Gerontology. 39(3). 415–421. 14 indexed citations
16.
17.
Wang, Wei, et al.. (2001). Characterization of Regulatory Elements on the Promoter Region of p16INK4a That Contribute to Overexpression of p16 in Senescent Fibroblasts. Journal of Biological Chemistry. 276(52). 48655–48661. 48 indexed citations
18.
Tong, Tanjun & Xiuqin Wang. (1999). The decline of human gastric cancer cells' proliferation and responsiveness to EGF by down-regulation of c-erbB-2 expression. 自然科学进展(英文版). 1 indexed citations
19.
Li, Jianyi & Tanjun Tong. (1995). Study on the nuclear effects of epidermal growth factor. 11(5). 529–534. 1 indexed citations
20.
Zhang, Zongyu, et al.. (1994). Induction of anti-oncogenes by peptide growth factors. 10(5). 626–629. 1 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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