Wei Jin

5.2k total citations · 1 hit paper
72 papers, 3.8k citations indexed

About

Wei Jin is a scholar working on Molecular Biology, Immunology and Neurology. According to data from OpenAlex, Wei Jin has authored 72 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 27 papers in Immunology and 12 papers in Neurology. Recurrent topics in Wei Jin's work include Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (10 papers) and Neuroinflammation and Neurodegeneration Mechanisms (9 papers). Wei Jin is often cited by papers focused on Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (10 papers) and Neuroinflammation and Neurodegeneration Mechanisms (9 papers). Wei Jin collaborates with scholars based in China, United States and France. Wei Jin's co-authors include Chen Dong, Shao‐Cong Sun, Minying Zhang, Andrew G. Levine, Aaron Arvey, Alexander Y. Rudensky, William W. Reiley, Christopher C. Norbury, Xindong Liu and Mingyue Fan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Wei Jin

71 papers receiving 3.7k citations

Hit Papers

IL-17 cytokines in immunity and inflammation 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Jin China 29 1.9k 1.4k 679 568 322 72 3.8k
Lars Vereecke Belgium 25 1.9k 1.0× 1.6k 1.2× 821 1.2× 416 0.7× 558 1.7× 46 3.7k
Brendan Hilliard United States 31 2.8k 1.5× 1.4k 1.0× 777 1.1× 695 1.2× 273 0.8× 68 4.4k
Gopal Murugaiyan United States 30 2.0k 1.0× 1.1k 0.8× 624 0.9× 580 1.0× 490 1.5× 44 4.0k
Lynn Williams United Kingdom 27 1.7k 0.9× 1.1k 0.8× 480 0.7× 705 1.2× 152 0.5× 40 3.4k
Roopali Gandhi United States 29 1.3k 0.7× 1.7k 1.2× 754 1.1× 335 0.6× 249 0.8× 47 3.6k
Daisuke Kamimura Japan 27 1.7k 0.9× 1.0k 0.7× 326 0.5× 991 1.7× 417 1.3× 71 4.0k
Patrick P. McDonald Canada 38 2.4k 1.3× 1.3k 0.9× 637 0.9× 538 0.9× 214 0.7× 81 4.1k
Vicky Lampropoulou Germany 15 2.9k 1.5× 1.5k 1.1× 422 0.6× 326 0.6× 316 1.0× 18 4.5k
Matthew Mangan Germany 17 1.3k 0.7× 2.3k 1.6× 682 1.0× 449 0.8× 204 0.6× 26 3.9k
Srinivas Mummidi United States 34 1.7k 0.9× 1.2k 0.9× 308 0.5× 634 1.1× 170 0.5× 75 3.8k

Countries citing papers authored by Wei Jin

Since Specialization
Citations

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

Fields of papers citing papers by Wei Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Jin. A scholar is included among the top collaborators of Wei Jin 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 Wei Jin. Wei Jin 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.
Li, Meixi, Ning Kang, Wei Jin, et al.. (2024). Baicalein ameliorates cognitive impairment of vascular dementia rats via suppressing neuroinflammation and regulating intestinal microbiota. Brain Research Bulletin. 208. 110888–110888. 24 indexed citations
2.
Zhang, Jiayu, Zhe Li, Mingyue Fan, & Wei Jin. (2022). Lipoxins in the Nervous System: Brighter Prospects for Neuroprotection. Frontiers in Pharmacology. 13. 781889–781889. 22 indexed citations
3.
Liu, Hailong, Youliang Sun, Qian Zhang, et al.. (2021). Pro-inflammatory and proliferative microglia drive progression of glioblastoma. Cell Reports. 36(11). 109718–109718. 100 indexed citations
4.
Sun, Lin, Xiaohong Zhao, Xindong Liu, et al.. (2021). Transcription factor Ascl2 promotes germinal center B cell responses by directly regulating AID transcription. Cell Reports. 35(9). 109188–109188. 9 indexed citations
5.
Guo, Weina, et al.. (2021). Brain activity alterations in patients with Parkinson’s disease with cognitive impairment based on resting-state functional MRI. Neuroscience Letters. 747. 135672–135672. 17 indexed citations
6.
Fu, Weiwei, Xindong Liu, Xiang Lin, et al.. (2018). Deficiency in T follicular regulatory cells promotes autoimmunity. The Journal of Experimental Medicine. 215(3). 815–825. 166 indexed citations
7.
Jiang, Yu, Ying Liu, Huiping Lu, et al.. (2018). Epigenetic activation during T helper 17 cell differentiation is mediated by Tripartite motif containing 28. Nature Communications. 9(1). 1424–1424. 48 indexed citations
10.
Ichiyama, Kenji, Alicia González-Martín, Byung Seok Kim, et al.. (2016). The MicroRNA-183-96-182 Cluster Promotes T Helper 17 Cell Pathogenicity by Negatively Regulating Transcription Factor Foxo1 Expression. Immunity. 44(6). 1284–1298. 150 indexed citations
11.
Meng, Lingjun, Wei Jin, & Xiaodong Wang. (2015). RIP3-mediated necrotic cell death accelerates systematic inflammation and mortality. Proceedings of the National Academy of Sciences. 112(35). 11007–11012. 91 indexed citations
12.
Huang, Tinghua, Jun Yang, Guopin Liu, et al.. (2015). Quantification of Mature MicroRNAs Using Pincer Probes and Real-Time PCR Amplification. PLoS ONE. 10(3). e0120160–e0120160. 12 indexed citations
13.
Levine, Andrew G., Aaron Arvey, Wei Jin, & Alexander Y. Rudensky. (2014). Continuous requirement for the TCR in regulatory T cell function. Nature Immunology. 15(11). 1070–1078. 395 indexed citations
14.
Wang, Tianjun, et al.. (2013). Protective effect of donepezil hydrochloride on cerebral ischemia/reperfusion injury in mice. Molecular Medicine Reports. 9(2). 509–514. 15 indexed citations
15.
Qiu, Yang, Hongyi Cao, Yuzhen Tong, et al.. (2013). Associations of the PTEN −9C>G polymorphism with insulin sensitivity and central obesity in Chinese. Gene. 527(2). 545–552. 2 indexed citations
16.
Feng, Lifeng, Min Pan, Jie Sun, et al.. (2012). Histone deacetylase 3 inhibits expression of PUMA in gastric cancer cells. Journal of Molecular Medicine. 91(1). 49–58. 35 indexed citations
17.
Reiley, William W., et al.. (2007). Regulation of Early Wave of Germ Cell Apoptosis and Spermatogenesis by Deubiquitinating Enzyme CYLD. Developmental Cell. 13(5). 705–716. 177 indexed citations
18.
Li, Haichang, et al.. (2007). Prognostic significance of PTEN expression in esophageal squamous cell carcinoma from Linzhou City, a high incidence area of northern China. Diseases of the Esophagus. 20(6). 491–496. 28 indexed citations
19.
Jin, Wei, et al.. (2007). Deubiquitinating Enzyme CYLD Regulates the Peripheral Development and Naive Phenotype Maintenance of B Cells. Journal of Biological Chemistry. 282(21). 15884–15893. 58 indexed citations
20.
Cote, Gilbert J., et al.. (1997). Sequence Requirements for Regulated RNA Splicing of the Human Fibroblast Growth Factor Receptor-1 α Exon. Journal of Biological Chemistry. 272(2). 1054–1060. 16 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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