Jin Jiang

408 total citations
13 papers, 328 citations indexed

About

Jin Jiang is a scholar working on Molecular Biology, Neurology and Cancer Research. According to data from OpenAlex, Jin Jiang has authored 13 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Neurology and 5 papers in Cancer Research. Recurrent topics in Jin Jiang's work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Cholesterol and Lipid Metabolism (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). Jin Jiang is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Cholesterol and Lipid Metabolism (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). Jin Jiang collaborates with scholars based in China, United States and Russia. Jin Jiang's co-authors include Jian Zhan, Yong Luo, Chao‐Ke Tang, Zhongcheng Mo, Kai Yin, Yikun Ren, Hongmei Ma, Ying Zhang, Wenyi Qin and Guojun Zhao and has published in prestigious journals such as Journal of Biological Chemistry, Biomedicine & Pharmacotherapy and Neurochemical Research.

In The Last Decade

Jin Jiang

13 papers receiving 324 citations

Peers

Jin Jiang
Shengyong Luo China
Ruisong Ma China
Qiang Xue China
Asmaa Oun Netherlands
Shiming Zhang China
Danyang Liu China
Shichun Li China
Aurel Simion Romania
Shengyong Luo China
Jin Jiang
Citations per year, relative to Jin Jiang Jin Jiang (= 1×) peers Shengyong Luo

Countries citing papers authored by Jin Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Jin Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Jiang

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

All Works

13 of 13 papers shown
1.
Jiang, Jin, et al.. (2023). Aging-related genes revealed Neuroinflammatory mechanisms in ischemic stroke by bioinformatics. Heliyon. 9(11). e21071–e21071. 3 indexed citations
2.
Wang, Jingwen, et al.. (2023). Evaluation of electroacupuncture as a non-pharmacological therapy for astrocytic structural aberrations and behavioral deficits in a post-ischemic depression model in mice. Frontiers in Behavioral Neuroscience. 17. 1239024–1239024. 6 indexed citations
3.
Jiang, Jin, et al.. (2022). NUT midline carcinoma as a primary lung tumor treated with anlotinib combined with palliative radiotherapy: a case report. Diagnostic Pathology. 17(1). 4–4. 10 indexed citations
4.
Jiang, Jin, Sha Chen, Qingwen Hu, et al.. (2022). Long Non-coding RNA ANRIL Downregulation Alleviates Neuroinflammation in an Ischemia Stroke Model via Modulation of the miR-671-5p/NF-κB Pathway. Neurochemical Research. 47(7). 2002–2015. 18 indexed citations
5.
Ren, Yikun, Jin Jiang, Wenxia Jiang, et al.. (2021). Spata2 Knockdown Exacerbates Brain Inflammation via NF-κB/P38MAPK Signaling and NLRP3 Inflammasome Activation in Cerebral Ischemia/Reperfusion Rats. Neurochemical Research. 46(9). 2262–2275. 13 indexed citations
6.
7.
Xiang, Xiao, Siyue Wang, Tianyi Liu, et al.. (2020). Exploring gene–gene interaction in family‐based data with an unsupervised machine learning method: EPISFA. Genetic Epidemiology. 44(8). 811–824. 1 indexed citations
8.
Jiang, Jin, et al.. (2018). Vitexin reverses the autophagy dysfunction to attenuate MCAO-induced cerebral ischemic stroke via mTOR/Ulk1 pathway. Biomedicine & Pharmacotherapy. 99. 583–590. 104 indexed citations
9.
Wang, Fang, et al.. (2018). [4i, a novel PPARγ ligand, inhibits the production of inflammatory cytokines in murine macrophages by blocking NF-κB and MAPK pathway].. PubMed. 34(6). 499–504. 1 indexed citations
10.
Jiang, Jin, Yong Luo, Wenyi Qin, et al.. (2017). Electroacupuncture Suppresses the NF-κB Signaling Pathway by Upregulating Cylindromatosis to Alleviate Inflammatory Injury in Cerebral Ischemia/Reperfusion Rats. Frontiers in Molecular Neuroscience. 10. 363–363. 53 indexed citations
11.
Yin, Kai, Zhongcheng Mo, Guojun Zhao, et al.. (2011). Tristetraprolin-dependent Post-transcriptional Regulation of Inflammatory Cytokine mRNA Expression by Apolipoprotein A-I. Journal of Biological Chemistry. 286(16). 13834–13845. 48 indexed citations
12.
Xiao, Ji, Xiehong Liu, Meimei Liu, et al.. (2010). Ibrolipim increases ABCA1/G1 expression by the LXRα signaling pathway in THP-1 macrophage-derived foam cells. Acta Pharmacologica Sinica. 31(10). 1343–1349. 28 indexed citations
13.
Liu, Xiehong, Ji Xiao, Zhongcheng Mo, et al.. (2010). Contribution of D4-F to ABCA1 Expression and Cholesterol Efflux in THP-1 Macrophage-derived Foam Cells. Journal of Cardiovascular Pharmacology. 56(3). 309–319. 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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