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

Tumor-derived exosomal CCT6A serves as a matchmaker introducing chemokines to tumor-associated macrophages in pancreatic ductal adenocarcinoma.

肿瘤来源的外泌体 CCT6A 起到媒人的作用，将趋化因子引入胰腺导管腺癌的肿瘤相关巨噬细胞

期刊:Cell Death & Disease
影响因子:9.6
doi:10.1038/s41419-025-07720-y
Ma Tianyin, Guo Wing-Wa, Zhang Minghe, He Wenzhi, Dongzhi Cairang, Gongye Xiangdong, Xia Peng, Chai Yibo, Chen Zhang, Zhu Yimin, Qu Chengming, Liu Jie, Yang Zhiyong, Ma Weijie, Tian Ming, Yuan Yufeng
肿瘤
外泌体
发表日期：2025
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Machine Learning-Based WGCNA Approach for Developing an Immunogenic Cell Death-Related Hub Gene Signature and Identification of AJM1 as a Prognostic Biomarker in Pancreatic Adenocarcinoma

基于机器学习的WGCNA方法构建免疫原性细胞死亡相关枢纽基因特征，并鉴定AJM1为胰腺腺癌的预后生物标志物

期刊:International Journal of Medical Sciences
影响因子:3.2
doi:10.7150/ijms.119960
Ma, Tianyin; Gongye, Xiangdong; Dongzhi, Cairang; Chai, Yibo; Wang, Qikun; Tian, Ming
细胞生物学
肿瘤
肿瘤免疫
免疫/内分泌
发表日期：2025
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Liver Extracellular Vesicles and Particles Enriched β-Sitosterol Effectively Promote Liver Regeneration in Mice

富含β-谷甾醇的肝脏细胞外囊泡和颗粒能有效促进小鼠肝脏再生

期刊:International Journal of Nanomedicine
影响因子:6.5
doi:10.2147/IJN.S465346
Gongye, Xiangdong; Xia, Peng; Ma, Tianyin; Chai, Yibo; Chen, Zhang; Zhu, Yimin; Qu, Chengming; Liu, Jie; Guo, Wing Wa; Zhang, Minghe; Liu, Yingyi; Tian, Ming; Yuan, Yufeng
囊泡
细胞生物学
发表日期：2024
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Study on the relationship between obesity and complications of Pediatric Epilepsy surgery

肥胖与儿童癫痫手术并发症关系的研究

期刊:BMC Pediatrics
影响因子:2
doi:10.1186/s12887-023-03948-9
Shen, Lei; Wang, Mengyang; Zhao, Jingwei; Ruan, Yuanyuan; Yang, Jingyi; Chai, Songshan; Dai, Xuan; Yang, Bangkun; Cai, Yuankun; Zhou, Yixuan; Mei, Zhimin; Zheng, Zhixin; Xu, Dongyuan; Guo, Hantao; Lei, Yu; Cheng, Runqi; Yue, Chuqiao; Wang, Tiansheng; Zhao, Yunchang; Liu, Xinyu; Chai, Yibo; Chen, Jingcao; Du, Hao; Xiong, Nanxiang
肥胖
癫痫
神经科学
代谢
发表日期：2023
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Carbon emissions index decomposition and carbon emissions prediction in Xinjiang from the perspective of population-related factors, based on the combination of STIRPAT model and neural network

基于STIRPAT模型和神经网络相结合的方法，从人口相关因素的角度对新疆碳排放指数进行分解并预测碳排放量。

期刊:Environmental Science and Pollution Research
影响因子:
doi:10.1007/s11356-021-17976-4
Ziyuan, Chai; Yibo, Yan; Simayi, Zibibula; Shengtian, Yang; Abulimiti, Maliyamuguli; Yuqing, Wang
发表日期：2022
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