Ju-tao Yu

722 total citations
10 papers, 234 citations indexed

About

Ju-tao Yu is a scholar working on Molecular Biology, Nephrology and Pathology and Forensic Medicine. According to data from OpenAlex, Ju-tao Yu has authored 10 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Nephrology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Ju-tao Yu's work include RNA modifications and cancer (2 papers), Epigenetics and DNA Methylation (2 papers) and Cancer-related gene regulation (2 papers). Ju-tao Yu is often cited by papers focused on RNA modifications and cancer (2 papers), Epigenetics and DNA Methylation (2 papers) and Cancer-related gene regulation (2 papers). Ju-tao Yu collaborates with scholars based in China, Saint Kitts and Nevis and Hong Kong. Ju-tao Yu's co-authors include Xiao‐Ming Meng, Xiaowei Hu, Qin Yang, Juan Jin, Jun Li, Yonggui Wu, Yuhang Dong, Haoyang Xia, Taotao Ma and Yao Zhang and has published in prestigious journals such as Biochemical Pharmacology, Pharmacological Research and Biomedicine & Pharmacotherapy.

In The Last Decade

Ju-tao Yu

10 papers receiving 233 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ju-tao Yu China	7	143	68	42	36	25	10	234
Nan Mao China	11	128 0.9×	78 1.1×	31 0.7×	22 0.6×	29 1.2×	33	289
Dan Wen China	9	160 1.1×	112 1.6×	36 0.9×	86 2.4×	25 1.0×	31	330
Jianlong Sheng China	5	147 1.0×	51 0.8×	41 1.0×	22 0.6×	16 0.6×	10	264
Ajinath Kale India	14	103 0.7×	153 2.3×	39 0.9×	22 0.6×	18 0.7×	26	359
Irina Bobkova Russia	9	88 0.6×	110 1.6×	31 0.7×	16 0.4×	25 1.0×	61	264
Ruonan Zhai China	11	156 1.1×	80 1.2×	16 0.4×	50 1.4×	51 2.0×	16	348
Jinming Yao China	13	137 1.0×	26 0.4×	63 1.5×	55 1.5×	33 1.3×	34	392
Nakhoul Nakhoul Israel	13	99 0.7×	84 1.2×	39 0.9×	21 0.6×	47 1.9×	24	388
Changying Xing China	8	147 1.0×	132 1.9×	75 1.8×	14 0.4×	46 1.8×	18	340
Letizia Zeni Italy	6	85 0.6×	118 1.7×	21 0.5×	20 0.6×	28 1.1×	14	275

Countries citing papers authored by Ju-tao Yu

Since Specialization

Citations

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

Fields of papers citing papers by Ju-tao Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ju-tao Yu. 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 Ju-tao Yu. The network helps show where Ju-tao Yu may publish in the future.

Co-authorship network of co-authors of Ju-tao Yu

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

All Works

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10 of 10 papers shown

Hou, Chao, Xinru Zhang, Jie Wei, et al.. (2025). METTL1-mediated m ⁷ G methylation of Sarm1 mRNA promotes macrophage inflammatory responses and multiple organ injury. Science Immunology. 10(111). eadv4810–eadv4810. 1 indexed citations

Li, Xiangyu, Xiaoyu Shen, Yuqing Wang, et al.. (2025). PARylation promotes acute kidney injury via RACK1 dimerization-mediated HIF-1α degradation. Acta Pharmaceutica Sinica B. 15(9). 4673–4691. 1 indexed citations

Yu, Ju-tao, Xiangyü Li, Rui Hou, et al.. (2023). Novel insights into STAT3 in renal diseases. Biomedicine & Pharmacotherapy. 165. 115166–115166. 12 indexed citations

Li, Xiangyü, Ju-tao Yu, Yuhang Dong, et al.. (2023). Protein acetylation and related potential therapeutic strategies in kidney disease. Pharmacological Research. 197. 106950–106950. 11 indexed citations

Yu, Ju-tao, Shaofei Zhang, Manman Xie, et al.. (2023). Madecassoside alleviates acute kidney injury by regulating JNK-mediated oxidative stress and programmed cell death. Phytomedicine. 123. 155252–155252. 9 indexed citations

He, Yuan, Qin Yang, Chao Li, et al.. (2022). Cpd-0225 attenuates renal fibrosis via inhibiting ALK5. Biochemical Pharmacology. 204. 115240–115240. 3 indexed citations

Yang, Qin, Xing Tian, Shaofei Zhang, et al.. (2021). Gypenoside XLIX protects against acute kidney injury by suppressing IGFBP7/IGF1R-mediated programmed cell death and inflammation. Phytomedicine. 85. 153541–153541. 32 indexed citations

Yu, Ju-tao, Xiaowei Hu, Haiyong Chen, et al.. (2020). DNA methylation of FTO promotes renal inflammation by enhancing m6A of PPAR-α in alcohol-induced kidney injury. Pharmacological Research. 163. 105286–105286. 64 indexed citations

Wang, Jianan, Mingming Liu, Fang Wang, et al.. (2019). RIPK1 inhibitor Cpd-71 attenuates renal dysfunction in cisplatin-treated mice via attenuating necroptosis, inflammation and oxidative stress. Clinical Science. 133(14). 1609–1627. 67 indexed citations

10.

Xia, Haoyang, et al.. (2017). Attenuation of renal ischemic reperfusion injury by salvianolic acid B via suppressing oxidative stress and inflammation through PI3K/Akt signaling pathway. Brazilian Journal of Medical and Biological Research. 50(6). e5954–e5954. 34 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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