日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

The predictive value of baseline systemic inflammation response index and systemic immune-inflammation index for the risk of infection within 6 months following initial immunosuppressive treatment in patients with ANCA-associated vasculitis

基线全身炎症反应指数和全身免疫炎症指数对ANCA相关性血管炎患者初始免疫抑制治疗后6个月内感染风险的预测价值

期刊:Frontiers in Immunology
影响因子:5.9
doi:10.3389/fimmu.2026.1718901
Wang, Yujia; Huang, Kaiqi; Chen, Caiming; Zheng, Zigui; Lai, Kunmei; Wan, Jianxin; Xu, Yanfang
炎症/感染
炎症
免疫/内分泌
发表日期：2026
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Chinese Herb-Induced Type II Crescentic Glomerulonephritis: A Case Report of Four Patients

中药诱发II型新月体肾小球肾炎：四例病例报告

期刊:Kidney Medicine
影响因子:3.4
doi:10.1016/j.xkme.2025.101228
Wang, Yujia; Huang, Kaiqi; Chen, Caiming; Ye, Keng; Lai, Kunmei; Tao, Xuan; Chen, Hong; Xu, Yanfang
肾炎
发表日期：2026
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The IDH1-R132H mutation aggravates cisplatin-induced acute kidney injury by promoting ferroptosis through disrupting NDUFA1 and FSP1 interaction.

IDH1-R132H 突变通过破坏 NDUFA1 和 FSP1 的相互作用促进铁死亡，从而加剧顺铂引起的急性肾损伤

期刊:Cell Death and Differentiation
影响因子:15.4
doi:10.1038/s41418-024-01381-8
Lai Kunmei, Chen Zhimin, Lin Siyi, Ye Keng, Yuan Ying, Li Guoping, Song Yankun, Ma Huabin, Mak Tak W, Xu Yanfang
毒理研究
SP1
铁死亡
发表日期：2025
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Roles of ACSL4/GPX4 and FSP1 in oxalate-induced acute kidney injury.

ACSL4/GPX4 和 FSP1 在草酸盐诱导的急性肾损伤中的作用

期刊:Cell Death Discovery
影响因子:7
doi:10.1038/s41420-025-02557-y
Ye Keng, Lan Ruilong, Chen Zhimin, Lai Kunmei, Song Yankun, Li Guoping, Ma Huabin, Chen Hong, Xu Yanfang
毒理研究
SP1
发表日期：2025
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Sensing of mitochondrial DNA by ZBP1 promotes RIPK3-mediated necroptosis and ferroptosis in response to diquat poisoning.

ZBP1 对线粒体 DNA 的感知促进了 RIPK3 介导的坏死性凋亡和铁死亡，以应对敌草快中毒

期刊:Cell Death and Differentiation
影响因子:15.4
doi:10.1038/s41418-024-01279-5
Lai Kunmei, Wang Junjie, Lin Siyi, Chen Zhimin, Lin Guo, Ye Keng, Yuan Ying, Lin Yujiao, Zhong Chuan-Qi, Wu Jianfeng, Ma Huabin, Xu Yanfang
表观遗传
凋亡
线粒体
铁死亡
发表日期：2024
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Machine learning for the prediction of acute kidney injury in critical care patients with acute cerebrovascular disease

利用机器学习预测重症监护患者急性脑血管疾病的急性肾损伤

期刊:Renal Failure
影响因子:3
doi:10.1080/0886022X.2022.2036619
Zhang, Xiaohong; Chen, Siying; Lai, Kunmei; Chen, Zhimin; Wan, Jianxin; Xu, Yanfang
毒理研究
神经科学
肾损伤
发表日期：2022
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