Jing Qi

1.4k total citations · 1 hit paper
40 papers, 996 citations indexed

About

Jing Qi is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, Jing Qi has authored 40 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Oncology and 11 papers in Pharmacology. Recurrent topics in Jing Qi's work include Drug Transport and Resistance Mechanisms (10 papers), Liver Disease Diagnosis and Treatment (9 papers) and Drug-Induced Hepatotoxicity and Protection (9 papers). Jing Qi is often cited by papers focused on Drug Transport and Resistance Mechanisms (10 papers), Liver Disease Diagnosis and Treatment (9 papers) and Drug-Induced Hepatotoxicity and Protection (9 papers). Jing Qi collaborates with scholars based in China, South Korea and United States. Jing Qi's co-authors include Zixiong Zhou, Jong-Won Kim, Bumseok Kim, Chae-Woong Lim, Jian‐Ting Zhang, Chae Woong Lim, Zizheng Dong, Hui Peng, Jianguo Liu and Yang Liu and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jing Qi

39 papers receiving 983 citations

Hit Papers

Ferroptosis Affects the Progression of Nonalcoholic Steat... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Qi China 17 490 221 200 198 181 40 996
Changzheng Li China 22 719 1.5× 240 1.1× 223 1.1× 277 1.4× 205 1.1× 78 1.4k
Ruidong Li China 20 618 1.3× 181 0.8× 144 0.7× 183 0.9× 197 1.1× 32 1.1k
Vincent Wai‐Hin Yuen Hong Kong 17 536 1.1× 311 1.4× 119 0.6× 375 1.9× 222 1.2× 20 1.0k
Sha Huang China 20 424 0.9× 147 0.7× 299 1.5× 174 0.9× 195 1.1× 39 971
Eun Ju Kim South Korea 18 606 1.2× 159 0.7× 180 0.9× 249 1.3× 94 0.5× 57 1.2k
Liangliang Bai China 17 348 0.7× 251 1.1× 113 0.6× 156 0.8× 141 0.8× 51 838
Xin Qiu China 19 496 1.0× 237 1.1× 79 0.4× 204 1.0× 87 0.5× 36 1.0k
Xuanfu Xu China 14 470 1.0× 186 0.8× 159 0.8× 243 1.2× 76 0.4× 25 820
Cheng Hu China 21 584 1.2× 134 0.6× 133 0.7× 321 1.6× 297 1.6× 71 1.1k
Lei Bi China 17 543 1.1× 218 1.0× 94 0.5× 215 1.1× 123 0.7× 46 977

Countries citing papers authored by Jing Qi

Since Specialization
Citations

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

Fields of papers citing papers by Jing Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Qi. A scholar is included among the top collaborators of Jing Qi 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 Qi. Jing Qi 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
2.
Zhu, An, Xueqing Yan, Mengting Chen, et al.. (2024). Sappanone A alleviates metabolic dysfunction-associated steatohepatitis by decreasing hepatocyte lipotoxicity via targeting Mup3 in mice. Phytomedicine. 136. 156341–156341. 3 indexed citations
3.
Qiu, Kexin, et al.. (2023). CXCL5 Promotes Acetaminophen-Induced Hepatotoxicity by Activating Kupffer Cells. International Journal of Molecular Sciences. 24(15). 12180–12180. 3 indexed citations
4.
Zhou, Zixiong, et al.. (2023). Nuciferine Effectively Protects Mice against Acetaminophen-Induced Liver Injury. Antioxidants. 12(4). 949–949. 10 indexed citations
5.
Zhou, Zixiong, Yong Wu, Wenxi Hua, et al.. (2022). Sappanone A ameliorates acetaminophen-induced acute liver injury in mice. Toxicology. 480. 153336–153336. 17 indexed citations
6.
Li, Bihui, Jianfeng Sun, Jing Qi, et al.. (2022). PSRR: A Web Server for Predicting the Regulation of miRNAs Expression by Small Molecules. Frontiers in Molecular Biosciences. 9. 817294–817294. 16 indexed citations
7.
Zhou, Zixiong, Jing Qi, Jing Zhao, et al.. (2020). Orostachys japonicus ameliorates acetaminophen-induced acute liver injury in mice. Journal of Ethnopharmacology. 265. 113392–113392. 16 indexed citations
8.
Zhou, Zixiong, Jong-Won Kim, Jing Qi, et al.. (2020). Toll-Like Receptor 5 Signaling Ameliorates Liver Fibrosis by Inducing Interferon β–Modulated IL-1 Receptor Antagonist in Mice. American Journal Of Pathology. 190(3). 614–629. 34 indexed citations
9.
Zhou, Zixiong, Jing Qi, Chae Woong Lim, Jong-Won Kim, & Bumseok Kim. (2020). Dual TBK1/IKKε inhibitor amlexanox mitigates palmitic acid-induced hepatotoxicity and lipoapoptosis in vitro. Toxicology. 444. 152579–152579. 27 indexed citations
10.
Zhao, Jing, Jong-Won Kim, Zixiong Zhou, et al.. (2020). Macrophage-Inducible C-Type Lectin Signaling Exacerbates Acetaminophen-Induced Liver Injury by Promoting Kupffer Cell Activation in Mice. Molecular Pharmacology. 99(2). 92–103. 12 indexed citations
11.
Qi, Jing, Jong-Won Kim, Zixiong Zhou, Chae-Woong Lim, & Bumseok Kim. (2019). Ferroptosis Affects the Progression of Nonalcoholic Steatohepatitis via the Modulation of Lipid Peroxidation–Mediated Cell Death in Mice. American Journal Of Pathology. 190(1). 68–81. 267 indexed citations breakdown →
12.
Qi, Jing, Zixiong Zhou, Chae Woong Lim, Jong-Won Kim, & Bumseok Kim. (2019). Amlexanox ameliorates acetaminophen-induced acute liver injury by reducing oxidative stress in mice. Toxicology and Applied Pharmacology. 385. 114767–114767. 20 indexed citations
13.
Liu, Cong, Xiufen Liu, Jing Qi, et al.. (2018). DJ-1 in Ocular Diseases: A Review. International Journal of Medical Sciences. 15(5). 430–435. 11 indexed citations
14.
Liu, Xiufen, Dandan Zhou, Tian Xie, et al.. (2018). The Nrf2 Signaling in Retinal Ganglion Cells under Oxidative Stress in Ocular Neurodegenerative Diseases. International Journal of Biological Sciences. 14(9). 1090–1098. 57 indexed citations
15.
Qi, Jing, Zizheng Dong, Jianguo Liu, et al.. (2016). Effective Targeting of the Survivin Dimerization Interface with Small-Molecule Inhibitors. Cancer Research. 76(2). 453–462. 54 indexed citations
16.
Li, Zhaomin, Hui Peng, Qin Li, et al.. (2013). Determinants of 14-3-3σ Protein Dimerization and Function in Drug and Radiation Resistance. Journal of Biological Chemistry. 288(44). 31447–31457. 15 indexed citations
17.
Dong, Zizheng, Jing Qi, Hui Peng, Jianguo Liu, & Jian‐Ting Zhang. (2013). Spectrin Domain of Eukaryotic Initiation Factor 3a Is the Docking Site for Formation of the a:b:i:g Subcomplex. Journal of Biological Chemistry. 288(39). 27951–27959. 29 indexed citations
18.
Peng, Hui, Jing Qi, Zizheng Dong, & Jian‐Ting Zhang. (2010). Dynamic vs Static ABCG2 Inhibitors to Sensitize Drug Resistant Cancer Cells. PLoS ONE. 5(12). e15276–e15276. 36 indexed citations
19.
Liu, Fang, Dongmei Fan, Jing Qi, et al.. (2008). Co-expression of cytokeratin 8 and breast cancer resistant protein indicates a multifactorial drug-resistant phenotype in human breast cancer cell line. Life Sciences. 83(13-14). 496–501. 22 indexed citations
20.
Liu, Yang, Youyun Yang, Jing Qi, Hui Peng, & Jian‐Ting Zhang. (2008). Effect of Cysteine Mutagenesis on the Function and Disulfide Bond Formation of Human ABCG2. Journal of Pharmacology and Experimental Therapeutics. 326(1). 33–40. 33 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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