Ke Tan

3.1k total citations
69 papers, 2.3k citations indexed

About

Ke Tan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cell Biology. According to data from OpenAlex, Ke Tan has authored 69 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 18 papers in Pulmonary and Respiratory Medicine and 16 papers in Cell Biology. Recurrent topics in Ke Tan's work include Endoplasmic Reticulum Stress and Disease (16 papers), Heat shock proteins research (15 papers) and Ferroptosis and cancer prognosis (14 papers). Ke Tan is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (16 papers), Heat shock proteins research (15 papers) and Ferroptosis and cancer prognosis (14 papers). Ke Tan collaborates with scholars based in China, Japan and United States. Ke Tan's co-authors include Yumei Fan, Akira Nakai, Lanzhou Chen, Pengxiu Cao, Mitsuaki Fujimoto, Ryosuke Takii, Naoki Hayashida, Yue Tao, Ramachandran Prakasam and Eiichi Takaki and has published in prestigious journals such as Nature Communications, Environmental Science & Technology and The EMBO Journal.

In The Last Decade

Ke Tan

67 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ke Tan China 30 1.1k 389 326 306 284 69 2.3k
Chao He China 23 1.7k 1.6× 192 0.5× 298 0.9× 228 0.7× 575 2.0× 84 3.5k
Lili Gao China 32 975 0.9× 321 0.8× 131 0.4× 97 0.3× 357 1.3× 104 3.1k
Ming He China 28 1.4k 1.3× 190 0.5× 254 0.8× 99 0.3× 844 3.0× 88 2.8k
Jingjing Tian China 30 1.1k 1.0× 109 0.3× 179 0.5× 127 0.4× 270 1.0× 163 3.3k
George S. Krasnov Russia 31 2.3k 2.2× 376 1.0× 190 0.6× 194 0.6× 928 3.3× 208 4.5k
Yueqin Wang China 27 916 0.9× 117 0.3× 176 0.5× 99 0.3× 341 1.2× 66 2.2k
Jiahui Xu China 28 1.1k 1.0× 137 0.4× 228 0.7× 62 0.2× 288 1.0× 120 2.3k
Qiming Zhou China 23 702 0.7× 124 0.3× 150 0.5× 67 0.2× 349 1.2× 97 1.7k
Jian Yang China 36 2.4k 2.3× 134 0.3× 323 1.0× 252 0.8× 297 1.0× 177 4.8k

Countries citing papers authored by Ke Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ke Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Tan. A scholar is included among the top collaborators of Ke 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 Ke Tan. Ke 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.
2.
Tan, Ke, Morven Graham, Yaping Li, et al.. (2025). Functional evidence for early origin of tactile acuity in the vertebrate somatosensory system. Current Biology. 35(19). 4754–4764.e6.
3.
Zhang, Xinyu, Yumei Fan, & Ke Tan. (2024). A bird’s eye view of mitochondrial unfolded protein response in cancer: mechanisms, progression and further applications. Cell Death and Disease. 15(9). 667–667. 6 indexed citations
4.
Zhang, Sidi, Hongyu Wang, Xiaopeng Liu, et al.. (2024). A novel mitochondrial unfolded protein response-related risk signature to predict prognosis, immunotherapy and sorafenib sensitivity in hepatocellular carcinoma. APOPTOSIS. 29(5-6). 768–784. 10 indexed citations
5.
Wang, Meixia, Bo Zhang, Sidi Zhang, et al.. (2024). Transcription factors-related molecular subtypes and risk prognostic model: exploring the immunogenicity landscape and potential drug targets in hepatocellular carcinoma. Cancer Cell International. 24(1). 9–9. 5 indexed citations
6.
Chang, Jing, Jingxin Wang, Beibei Luo, et al.. (2023). Vitamin E stabilizes iron and mitochondrial metabolism in pulmonary fibrosis. Frontiers in Pharmacology. 14. 1240829–1240829. 7 indexed citations
7.
8.
Zhang, Sidi, Bo Zhang, Meixia Wang, et al.. (2023). Immunogenic landscape and risk score prediction based on unfolded protein response (UPR)-related molecular subtypes in hepatocellular carcinoma. Frontiers in Immunology. 14. 1202324–1202324. 3 indexed citations
9.
Chen, Fei, Yumei Fan, Xiaopeng Liu, et al.. (2022). Pan-Cancer Integrated Analysis of HSF2 Expression, Prognostic Value and Potential Implications for Cancer Immunity. Frontiers in Molecular Biosciences. 8. 789703–789703. 10 indexed citations
10.
Dong, Tianyu, Bo Zhang, Chang Wang, et al.. (2022). Hepcidin is upregulated and is a potential therapeutic target associated with immunity in glioma. Frontiers in Oncology. 12. 963096–963096. 4 indexed citations
11.
Zhang, Bo, Jilong Zhao, Bing Liu, et al.. (2022). Development and Validation of a Novel Ferroptosis-Related Gene Signature for Prognosis and Immunotherapy in Hepatocellular Carcinoma. Frontiers in Molecular Biosciences. 9. 940575–940575. 15 indexed citations
12.
Lü, Lu, Chen Chen, Ke Tan, et al.. (2022). Long-term metal pollution shifts microbial functional profiles of nitrification and denitrification in agricultural soils. The Science of The Total Environment. 830. 154732–154732. 43 indexed citations
13.
Xu, Huan, Bing Liu, Zhen Xiao, et al.. (2021). Computational and Experimental Studies Reveal That Thymoquinone Blocks the Entry of Coronaviruses Into In Vitro Cells. Infectious Diseases and Therapy. 10(1). 483–494. 45 indexed citations
14.
Tan, Ke, Steven K. Huang, Xin Liu, et al.. (2021). Clioquinol Attenuates Pulmonary Fibrosis through Inactivation of Fibroblasts via Iron Chelation. American Journal of Respiratory Cell and Molecular Biology. 65(2). 189–200. 15 indexed citations
15.
Chen, Fei, Yumei Fan, Pengxiu Cao, et al.. (2021). Pan‐Cancer Analysis of the Prognostic and Immunological Role of HSF1: A Potential Target for Survival and Immunotherapy. Oxidative Medicine and Cellular Longevity. 2021(1). 5551036–5551036. 58 indexed citations
16.
Tan, Ke, Jin Zhang, Yue Tao, et al.. (2020). Individual and combined application of Cu-tolerant Bacillus spp. enhance the Cu phytoextraction efficiency of perennial ryegrass. Chemosphere. 263. 127952–127952. 36 indexed citations
17.
Prakasam, Ramachandran, Mitsuaki Fujimoto, Ryosuke Takii, et al.. (2013). Chicken IL‐6 is a heat‐shock gene. FEBS Letters. 587(21). 3541–3547. 15 indexed citations
18.
Shinkawa, Toyohide, Ke Tan, Mitsuaki Fujimoto, et al.. (2011). Heat shock factor 2 is required for maintaining proteostasis against febrile-range thermal stress and polyglutamine aggregation. Molecular Biology of the Cell. 22(19). 3571–3583. 57 indexed citations
19.
Takii, Ryosuke, Sachiye Inouye, Mitsuaki Fujimoto, et al.. (2009). Heat Shock Transcription Factor 1 Inhibits Expression of IL-6 through Activating Transcription Factor 3. The Journal of Immunology. 184(2). 1041–1048. 84 indexed citations
20.
Fujimoto, Mitsuaki, Naoki Hayashida, Toyohide Shinkawa, et al.. (2009). A Novel Mouse HSF3 Has the Potential to Activate Nonclassical Heat-Shock Genes during Heat Shock. Molecular Biology of the Cell. 21(1). 106–116. 73 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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