Jing Yi

5.6k total citations
77 papers, 4.3k citations indexed

About

Jing Yi is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jing Yi has authored 77 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 17 papers in Oncology and 16 papers in Cancer Research. Recurrent topics in Jing Yi's work include Ubiquitin and proteasome pathways (16 papers), Catalytic Processes in Materials Science (10 papers) and Cancer, Hypoxia, and Metabolism (10 papers). Jing Yi is often cited by papers focused on Ubiquitin and proteasome pathways (16 papers), Catalytic Processes in Materials Science (10 papers) and Cancer, Hypoxia, and Metabolism (10 papers). Jing Yi collaborates with scholars based in China, United States and Thailand. Jing Yi's co-authors include Jie Yang, Kai Yang, Cang Hui, Guiying Shi, Ying Wang, Yuying Chen, Xuxu Sun, Yi Yang, Yuzheng Zhao and Edward T.H. Yeh and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Jing Yi

77 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Yi China 38 2.8k 892 694 417 310 77 4.3k
Xuan Huang China 40 2.3k 0.8× 887 1.0× 743 1.1× 434 1.0× 183 0.6× 119 4.4k
Yajie Zhang China 37 2.6k 0.9× 934 1.0× 877 1.3× 434 1.0× 167 0.5× 211 4.9k
Yihan Wang China 36 2.1k 0.8× 407 0.5× 564 0.8× 236 0.6× 330 1.1× 191 4.2k
Peng Jiang China 42 4.1k 1.5× 1.9k 2.1× 1.0k 1.5× 567 1.4× 400 1.3× 149 6.4k
Ya Zhang China 35 3.0k 1.1× 1.8k 2.1× 1.4k 2.1× 426 1.0× 240 0.8× 184 5.7k
Jian Fu United States 36 1.7k 0.6× 409 0.5× 547 0.8× 724 1.7× 275 0.9× 82 3.4k
Prabhat C. Goswami United States 35 2.5k 0.9× 674 0.8× 432 0.6× 264 0.6× 227 0.7× 113 4.5k
Taotao Liu China 28 1.8k 0.6× 773 0.9× 332 0.5× 220 0.5× 341 1.1× 86 2.9k
Yan Ding China 27 1.7k 0.6× 1.0k 1.2× 327 0.5× 205 0.5× 209 0.7× 160 3.3k
Chen Yang China 28 2.0k 0.7× 1.4k 1.5× 748 1.1× 318 0.8× 215 0.7× 121 3.6k

Countries citing papers authored by Jing Yi

Since Specialization
Citations

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

Fields of papers citing papers by Jing Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Yi. A scholar is included among the top collaborators of Jing Yi 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 Jing Yi. Jing Yi 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.
Xiao, Ming, Qi Bian, Yimin Lao, et al.. (2021). SENP3 loss promotes M2 macrophage polarization and breast cancer progression. Molecular Oncology. 16(4). 1026–1044. 62 indexed citations
2.
Chen, Fei, et al.. (2021). Assessment of SENP3-interacting proteins in hepatocytes treated with diethylnitrosamine by BioID assay. Acta Biochimica et Biophysica Sinica. 53(9). 1237–1246. 6 indexed citations
3.
Yi, Jing, Min Cheng, Yang Liu, et al.. (2021). When bimetallic oxides and their complexes meet Fenton-like process. Journal of Hazardous Materials. 424(Pt B). 127419–127419. 117 indexed citations
4.
Wang, Yang, Jing Tian, Chao Huang, et al.. (2020). P53 suppresses SENP3 phosphorylation to mediate G2 checkpoint. Cell Discovery. 6(1). 21–21. 16 indexed citations
5.
Zhang, Yongxing, Kai Yang, Jie Yang, et al.. (2020). SENP3 Suppresses Osteoclastogenesis by De-conjugating SUMO2/3 from IRF8 in Bone Marrow-Derived Monocytes. Cell Reports. 30(6). 1951–1963.e4. 29 indexed citations
6.
Huang, Xinping, Yimin Lao, Yonglu Tian, et al.. (2019). hCINAP regulates the DNA-damage response and mediates the resistance of acute myelocytic leukemia cells to therapy. Nature Communications. 10(1). 3812–3812. 38 indexed citations
7.
Liu, Kejia, Yimin Lao, Jie Yang, et al.. (2019). A fine-tuning mechanism underlying self-control for autophagy: deSUMOylation of BECN1 by SENP3. Autophagy. 16(6). 975–990. 55 indexed citations
8.
Sun, Xueqing, Qing Qu, Yimin Lao, et al.. (2019). Tumor suppressor HIC1 is synergistically compromised by cancer-associated fibroblasts and tumor cells through the IL-6/pSTAT3 axis in breast cancer. BMC Cancer. 19(1). 1180–1180. 22 indexed citations
9.
Yang, Kai, Ming Wang, Yuzheng Zhao, et al.. (2016). A redox mechanism underlying nucleolar stress sensing by nucleophosmin. Nature Communications. 7(1). 13599–13599. 114 indexed citations
10.
Zhao, Yuzheng, Qingxun Hu, Feixiong Cheng, et al.. (2015). SoNar, a Highly Responsive NAD+/NADH Sensor, Allows High-Throughput Metabolic Screening of Anti-tumor Agents. Cell Metabolism. 21(5). 777–789. 313 indexed citations
11.
Wang, Wei, et al.. (2014). Expressions of farnesoid X receptor and myeloid cell leukemia sequence 1 protein are associated with poor prognosis in patients with gallbladder cancer.. PubMed. 127(14). 2637–42. 10 indexed citations
12.
Luo, Zhongguang, Guangyang Yu, Hyuk Woo Lee, et al.. (2012). The Nedd8-Activating Enzyme Inhibitor MLN4924 Induces Autophagy and Apoptosis to Suppress Liver Cancer Cell Growth. Cancer Research. 72(13). 3360–3371. 202 indexed citations
13.
Li, Xinxing, Ying Dong, Wei Wang, et al.. (2012). Emodin As an Effective Agent in Targeting Cancer Stem-Like Side Population Cells of Gallbladder Carcinoma. Stem Cells and Development. 22(4). 554–566. 62 indexed citations
14.
Wang, Ying, Jie Yang, Kai Yang, et al.. (2012). The biphasic redox sensing of SENP3 accounts for the HIF-1 transcriptional activity shift by oxidative stress. Acta Pharmacologica Sinica. 33(7). 953–963. 36 indexed citations
15.
Wang, Wei, Yueping Sun, Xinzhi Huang, et al.. (2009). Emodin enhances sensitivity of gallbladder cancer cells to platinum drugs via glutathion depletion and MRP1 downregulation. Biochemical Pharmacology. 79(8). 1134–1140. 64 indexed citations
16.
Huang, Chao, Yan Han, Yumei Wang, et al.. (2009). SENP3 is responsible for HIF‐1 transactivation under mild oxidative stress via p300 de‐SUMOylation. The EMBO Journal. 28(18). 2748–2762. 168 indexed citations
17.
Zuo, Yong, Jie Yang, Xuxu Sun, et al.. (2009). Oxidative modification of caspase-9 facilitates its activation via disulfide-mediated interaction with Apaf-1. Cell Research. 19(4). 449–457. 102 indexed citations
18.
Hai, Jian, Qi Lin, Lu Yang, Jing Yi, & Hao Zhang. (2008). Growth inhibition and induction of differentiation by panaxydol in rat C6 glioma cells. Neurological Research. 30(1). 99–105. 8 indexed citations
19.
Cai, Jun, Xin Niu, Yuying Chen, et al.. (2008). Emodin-Induced Generation of Reactive Oxygen Species Inhibits RhoA Activation to Sensitize Gastric Carcinoma Cells to Anoikis. Neoplasia. 10(1). 41–IN19. 73 indexed citations
20.
Wang, Jie, Lingna Li, Cang Hui, Guiying Shi, & Jing Yi. (2007). NADPH oxidase-derived reactive oxygen species are responsible for the high susceptibility to arsenic cytotoxicity in acute promyelocytic leukemia cells. Leukemia Research. 32(3). 429–436. 39 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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