Fei Tan

464 total citations
9 papers, 343 citations indexed

About

Fei Tan is a scholar working on Cancer Research, Molecular Biology and Epidemiology. According to data from OpenAlex, Fei Tan has authored 9 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 5 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Fei Tan's work include MicroRNA in disease regulation (3 papers), Circular RNAs in diseases (2 papers) and Cancer-related molecular mechanisms research (2 papers). Fei Tan is often cited by papers focused on MicroRNA in disease regulation (3 papers), Circular RNAs in diseases (2 papers) and Cancer-related molecular mechanisms research (2 papers). Fei Tan collaborates with scholars based in China, Sweden and Ethiopia. Fei Tan's co-authors include Heqing Huang, Jianwen Chen, Min Li, Peiqing Liu, Shuxian Zhang, Quan Wang, Yajun Liu, Qi Dai, Tong Liu and Urban Lendahl and has published in prestigious journals such as Journal of Biological Chemistry, Genomics and Acta Pharmacologica Sinica.

In The Last Decade

Fei Tan

9 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fei Tan China	8	203	80	57	34	26	9	343
Xue Peng China	12	219 1.1×	73 0.9×	35 0.6×	34 1.0×	29 1.1×	21	348
Dianhong Zhang China	12	224 1.1×	97 1.2×	44 0.8×	60 1.8×	23 0.9×	17	371
Antonia Jakovčević Croatia	11	169 0.8×	53 0.7×	38 0.7×	31 0.9×	31 1.2×	29	383
Jing Kong China	12	249 1.2×	64 0.8×	48 0.8×	52 1.5×	46 1.8×	26	396
Yifei Lv China	10	199 1.0×	45 0.6×	61 1.1×	33 1.0×	27 1.0×	22	312
Yuyeon Jung South Korea	9	249 1.2×	72 0.9×	51 0.9×	32 0.9×	40 1.5×	16	385
Chatri Settasatian Thailand	12	245 1.2×	60 0.8×	36 0.6×	25 0.7×	46 1.8×	26	478
Si Jun Park South Korea	12	203 1.0×	59 0.7×	65 1.1×	29 0.9×	37 1.4×	23	434
Luling He China	10	176 0.9×	63 0.8×	86 1.5×	27 0.8×	21 0.8×	17	357
Sha Yan China	10	181 0.9×	69 0.9×	78 1.4×	28 0.8×	42 1.6×	19	445

Countries citing papers authored by Fei Tan

Since Specialization

Citations

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

Fields of papers citing papers by Fei Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Tan. A scholar is included among the top collaborators of Fei 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 Fei Tan. Fei Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Liu, Yining, Lei Chen, Tianqi Liu, et al.. (2021). Genome-wide circular RNA (circRNA) and mRNA profiling identify a circMET-miR-410-3p regulatory motif for cell growth in colorectal cancer. Genomics. 114(1). 351–360. 12 indexed citations

2.

Yu, Rong, Tong Liu, Fei Tan, et al.. (2019). The phosphorylation status of Ser-637 in dynamin-related protein 1 (Drp1) does not determine Drp1 recruitment to mitochondria. Journal of Biological Chemistry. 294(46). 17262–17277. 67 indexed citations

3.

Hu, Guanglei, et al.. (2019). Tumor Necrosis Factor (TNF) Receptor Expression Determines Keratinocyte Fate upon Stimulation with TNF-Like Weak Inducer of Apoptosis. Mediators of Inflammation. 2019. 1–13. 12 indexed citations

4.

Dai, Qi, Shuxian Zhang, Yajun Liu, et al.. (2018). Ulinastatin attenuates LPS-induced inflammation in mouse macrophage RAW264.7 cells by inhibiting the JNK/NF-κB signaling pathway and activating the PI3K/Akt/Nrf2 pathway. Acta Pharmacologica Sinica. 39(8). 1294–1304. 157 indexed citations

5.

Qian, Cheng & Fei Tan. (2017). Internal capsule: The homunculus distribution in the posterior limb. Brain and Behavior. 7(3). e00629–e00629. 12 indexed citations

6.

Xiong, Shijiang, et al.. (2016). Physcion 8-O-β-glucopyranoside induces mitochondria-dependent apoptosis of human oral squamous cell carcinoma cells via suppressing survivin expression. Acta Pharmacologica Sinica. 37(5). 687–697. 11 indexed citations

7.

Yan, Li‐Xu, Yu Jiang, Fei Tan, et al.. (2015). SP1-mediated microRNA-520d-5p suppresses tumor growth and metastasis in colorectal cancer by targeting CTHRC1.. PubMed. 5(4). 1447–59. 44 indexed citations

8.

Mo, Xiaohui, et al.. (2014). Testing the sensitivities of noncognate inhibitors to varicella zoster virus thymidine kinase: implications for postherpetic neuralgia therapy with existing agents. Journal of Molecular Modeling. 20(7). 2321–2321. 2 indexed citations

9.

Shen, Zhiyong, et al.. (2013). Increased levels of SLP-2 correlate with poor prognosis in gastric cancer. Gastric Cancer. 16(4). 498–504. 26 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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