Kai‐Fu Tang

1.5k total citations
48 papers, 1.1k citations indexed

About

Kai‐Fu Tang is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Kai‐Fu Tang has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 16 papers in Cancer Research and 13 papers in Immunology. Recurrent topics in Kai‐Fu Tang's work include MicroRNA in disease regulation (13 papers), RNA Interference and Gene Delivery (10 papers) and Immune Cell Function and Interaction (8 papers). Kai‐Fu Tang is often cited by papers focused on MicroRNA in disease regulation (13 papers), RNA Interference and Gene Delivery (10 papers) and Immune Cell Function and Interaction (8 papers). Kai‐Fu Tang collaborates with scholars based in China, United States and Germany. Kai‐Fu Tang's co-authors include Guiling Li, Jianmin Wu, Keqing Shi, Zhujun Deng, YiJiang Song, Hong Ren, Yong-Feng Ren, Xuejiao Zhang, Dewei Li and Jian Gao and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Kai‐Fu Tang

45 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai‐Fu Tang China 19 548 327 280 244 197 48 1.1k
Elias A. Castilla United States 19 768 1.4× 396 1.2× 353 1.3× 118 0.5× 306 1.6× 27 1.5k
Zhenqing Feng China 16 386 0.7× 147 0.4× 78 0.3× 101 0.4× 295 1.5× 43 786
Hélène Gary‐Gouy France 15 400 0.7× 136 0.4× 295 1.1× 435 1.8× 226 1.1× 19 1.1k
Deke Jiang China 22 668 1.2× 397 1.2× 262 0.9× 156 0.6× 275 1.4× 81 1.4k
Laura Santangelo Italy 14 954 1.7× 609 1.9× 168 0.6× 79 0.3× 144 0.7× 16 1.3k
Katharina Wolter Germany 5 678 1.2× 145 0.4× 173 0.6× 787 3.2× 205 1.0× 14 1.3k
Constantinos P. Zambirinis United States 16 466 0.9× 193 0.6× 260 0.9× 720 3.0× 685 3.5× 26 1.6k
Wei Jia United States 13 436 0.8× 138 0.4× 548 2.0× 434 1.8× 115 0.6× 22 1.1k
Huai‐Chia Chuang Taiwan 20 571 1.0× 140 0.4× 130 0.5× 379 1.6× 197 1.0× 38 1.1k
Alda Wakamatsu Brazil 20 345 0.6× 189 0.6× 343 1.2× 62 0.3× 125 0.6× 66 1.2k

Countries citing papers authored by Kai‐Fu Tang

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Fu Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai‐Fu Tang. 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 Kai‐Fu Tang. The network helps show where Kai‐Fu Tang may publish in the future.

Co-authorship network of co-authors of Kai‐Fu Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Kai‐Fu Tang. A scholar is included among the top collaborators of Kai‐Fu Tang 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 Kai‐Fu Tang. Kai‐Fu Tang 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.
Liu, Huimin, Yujie Xue, Kai‐Fu Tang, et al.. (2025). Association between sleep duration and frailty in older adults: Systematic review and meta-analysis of observational studies. Archives of Gerontology and Geriatrics. 137. 105949–105949. 1 indexed citations
2.
Ji, Hongyu, et al.. (2024). Protocol for isolating small cytosolic dsDNA from cultured murine cells. STAR Protocols. 5(2). 102998–102998.
3.
Zheng, Anqi, Xingyue Wang, Zhicheng Luo, et al.. (2023). Upregulation of CELSR1 expression promotes ovarian cancer cell proliferation, migration, and invasion. Medical Oncology. 41(1). 10–10. 2 indexed citations
4.
Zheng, Anqi, et al.. (2023). Upregulation of FAM50A promotes cancer development. Medical Oncology. 40(8). 217–217. 3 indexed citations
5.
Jiang, Jiayu, Lina Chen, Xiaoxiao Cheng, et al.. (2021). Tryptophan 2, 3‑dioxygenase promotes proliferation, migration and invasion of ovarian cancer cells. Molecular Medicine Reports. 23(6). 13 indexed citations
6.
Wu, Xiaoli, X Chen, Hui Liu, et al.. (2020). Rescuing Dicer expression in inflamed colon tissues alleviates colitis and prevents colitis-associated tumorigenesis. Theranostics. 10(13). 5749–5762. 15 indexed citations
7.
Jin, Xun, Hye-Min Jeon, Xiong Jin, et al.. (2016). The ID1-CULLIN3 Axis Regulates Intracellular SHH and WNT Signaling in Glioblastoma Stem Cells. Cell Reports. 16(6). 1629–1641. 46 indexed citations
8.
Zhang, Pei-Ying, Guiling Li, Zhujun Deng, et al.. (2015). Dicer interacts with SIRT7 and regulates H3K18 deacetylation in response to DNA damaging agents. Nucleic Acids Research. 44(8). 3629–3642. 59 indexed citations
9.
Ren, Yong-Feng, YiJiang Song, Xuejiao Zhang, et al.. (2014). MicroRNA-581 promotes hepatitis B virus surface antigen expression by targeting Dicer and EDEM1. Carcinogenesis. 35(9). 2127–2133. 17 indexed citations
10.
Lin, Zhuo, Li Chen, Mei Song, Keqing Shi, & Kai‐Fu Tang. (2014). Association between a Polymorphism in miR-34b/c and Susceptibility to Cancer - a Meta-analysis. Asian Pacific Journal of Cancer Prevention. 15(17). 7251–7255. 8 indexed citations
11.
Wang, Yan, Guiling Li, Fengbiao Mao, et al.. (2014). Ras-induced Epigenetic Inactivation of the RRAD (Ras-related Associated with Diabetes) Gene Promotes Glucose Uptake in a Human Ovarian Cancer Model. Journal of Biological Chemistry. 289(20). 14225–14238. 29 indexed citations
12.
Deng, Zhujun, Keqing Shi, YiJiang Song, et al.. (2014). Association between a Lumican Promoter Polymorphism and High Myopia in the Chinese Population: A Meta-Analysis of Case-Control Studies. Ophthalmologica. 232(2). 110–117. 3 indexed citations
13.
Wu, Jianmin, Xuejiao Zhang, Keqing Shi, et al.. (2013). Hepatitis B surface antigen inhibits MICA and MICB expression via induction of cellular miRNAs in hepatocellular carcinoma cells. Carcinogenesis. 35(1). 155–163. 39 indexed citations
14.
Li, Guiling, Dewei Li, YiJiang Song, et al.. (2013). Performance of Shear Wave Elastography for Differentiation of Benign and Malignant Solid Breast Masses. PLoS ONE. 8(10). e76322–e76322. 45 indexed citations
15.
Tang, Kai‐Fu & Hong Ren. (2012). The Role of Dicer in DNA Damage Repair. International Journal of Molecular Sciences. 13(12). 16769–16778. 16 indexed citations
16.
Ren, Yong-Feng, Guiling Li, Jianmin Wu, et al.. (2012). Dicer-Dependent Biogenesis of Small RNAs Derived from 7SL RNA. PLoS ONE. 7(7). e40705–e40705. 17 indexed citations
17.
Wu, Jinfeng, et al.. (2010). Down-regulation of Dicer in hepatocellular carcinoma. Medical Oncology. 28(3). 804–809. 52 indexed citations
18.
Hu, Peng, Huaidong Hu, Min Chen, et al.. (2009). Expression of interleukins-23 and 27 leads to successful gene therapy of hepatocellular carcinoma. Molecular Immunology. 46(8-9). 1654–1662. 43 indexed citations
19.
Tang, Kai‐Fu, Guanbin Song, Yisong Shi, Lin Yuan, & Yonghua Li‐Beisson. (2009). Dicer knockdown induces fibronectin-1 expression in HEK293T cells via induction of Egr1. Biochimica et Biophysica Acta (BBA) - General Subjects. 1800(3). 380–384. 8 indexed citations
20.
Tang, Kai‐Fu, Hong Ren, Jia Cao, et al.. (2008). Decreased Dicer expression elicits DNA damage and up-regulation of MICA and MICB. The Journal of Cell Biology. 182(2). 233–239. 65 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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