Mu‐Huo Ji

4.8k total citations
141 papers, 3.5k citations indexed

About

Mu‐Huo Ji is a scholar working on Critical Care and Intensive Care Medicine, Neurology and Developmental Neuroscience. According to data from OpenAlex, Mu‐Huo Ji has authored 141 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Critical Care and Intensive Care Medicine, 48 papers in Neurology and 43 papers in Developmental Neuroscience. Recurrent topics in Mu‐Huo Ji's work include Intensive Care Unit Cognitive Disorders (60 papers), Neuroinflammation and Neurodegeneration Mechanisms (47 papers) and Anesthesia and Neurotoxicity Research (41 papers). Mu‐Huo Ji is often cited by papers focused on Intensive Care Unit Cognitive Disorders (60 papers), Neuroinflammation and Neurodegeneration Mechanisms (47 papers) and Anesthesia and Neurotoxicity Research (41 papers). Mu‐Huo Ji collaborates with scholars based in China, United States and United Kingdom. Mu‐Huo Ji's co-authors include Jianjun Yang, Lili Qiu, Zhiqiang Zhou, Guang-Fen Zhang, Min Jia, Jing Wu, Wei Pan, Xiaoru Sun, Jiaojiao Yang and Sihai Zhu and has published in prestigious journals such as PLoS ONE, Development and Scientific Reports.

In The Last Decade

Mu‐Huo Ji

135 papers receiving 3.5k citations

Peers

Countries citing papers authored by Mu‐Huo Ji

Since Specialization

Citations

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

Fields of papers citing papers by Mu‐Huo Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mu‐Huo Ji. 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 Mu‐Huo Ji. The network helps show where Mu‐Huo Ji may publish in the future.

Co-authorship network of co-authors of Mu‐Huo Ji

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	The synergistic extract of Zophobas atratus and Tenebrio molitor regulates neuroplasticity and oxidative stress in a scopolamine-induced cognitive impairment model 2025 ·Frontiers in Aging Neuroscience ·(unknown), (unknown), Mu‐Huo Ji, (unknown), Sook-Jeong Lee	0
2	Decreased excitatory and increased inhibitory transmission in the hippocampal CA1 drive neuroinflammation-induced cognitive impairments in mice 2025 ·Brain Behavior and Immunity ·(unknown), (unknown), Kai Liu, Xiaoyi Hu, Qiuli He, (unknown), Di Fan, Daqing Ma, Jianjun Yang, Jin-Chun Shen, Mu‐Huo Ji	3
3	Environmental enrichment highlights mitochondrial inner membrane function as a therapeutic target for sepsis-associated encephalopathy 2025 ·Brain Research ·(unknown), Xiaoyu Yin, Jinlong Jian, Mu‐Huo Ji, Jianjun Yang, Jin-Chun Shen	0
4	STING Driving Synaptic Phagocytosis of Hippocampal Microglia/Macrophages Contributes to Cognitive Impairment in Sepsis‐Associated Encephalopathy in Mice 2024 ·CNS Neuroscience & Therapeutics ·(unknown), Min Jia, Feng Xiao, Jinlong Jian, Jianjun Yang, Daqing Ma, Mu‐Huo Ji, Yugang Diao, Jin-Chun Shen	2
5	Cardiac surgery with valve replacement temporarily disrupts the hippocampal memory network 2024 ·British Journal of Anaesthesia ·(unknown), (unknown), (unknown), Mu‐Huo Ji, Jing Yang, Jun Tian, (unknown), Yi Zhou, Yun Ren, (unknown), Daqing Ma, Jiu Chen, (unknown)	2
6	Oxidative Stress-mediated Loss of Hippocampal Parvalbumin Interneurons Contributes to Memory Precision Decline After Acute Sleep Deprivation 2024 ·Molecular Neurobiology ·(unknown), Kai Liu, (unknown), (unknown), Qiuli He, H. Wu, Jianjun Yang, Hao Yao, Mu‐Huo Ji	6
7	Microglia phagocytosis of PNNs mediates PV-positive interneuron dysfunction and associated gamma oscillations in neuroinflammation-induced cognitive impairment in mice 2024 ·Neuropharmacology ·Kai Liu, (unknown), (unknown), Xiaoyi Hu, (unknown), Qiuli He, (unknown), Hao Yao, Daqing Ma, Jianjun Yang, Mu‐Huo Ji	9
8	Associations between oral frailty, oral microbiota composition, and postoperative delirium in older adult patients 2024 ·Journal of the American Geriatrics Society ·Xiaoyi Hu, Huawei Duan, (unknown), (unknown), (unknown), Daqing Ma, Dong‐Xin Wang, (unknown), Mu‐Huo Ji	0
9	Hippocampal Nogo66‐NgR1 signaling activation restricts postsynaptic assembly in aged mice with postoperative neurocognitive disorders 2024 ·Aging Cell ·Min Jia, (unknown), Chen Jiang, Xiaohui Tang, Yan‐Yu Zang, Bing Yang, Yun Stone Shi, Daqing Ma, Mu‐Huo Ji, Jianjun Yang	2
10	Analgesia quality index improves the quality of postoperative pain management: a retrospective observational study of 14,747 patients between 2014 and 2021 2023 ·BMC Anesthesiology ·(unknown), (unknown), (unknown), (unknown), Xiaohong Chen, Qian Hua, Mu‐Huo Ji, Jianfeng Zhang	9
11	Current Understanding of Long-Term Cognitive Impairment After Sepsis 2022 ·Frontiers in Immunology ·Ying Li, Mu‐Huo Ji, Jianjun Yang	37
12	Predicting postoperative liver cancer death outcomes with machine learning 2021 ·Current Medical Research and Opinion ·Yong Wang, (unknown), Ying Wang, Mu‐Huo Ji, (unknown), Cheng-Mao Zhou	11
13	Abnormal theta oscillation aggravated by chronic stress in the CA1 may mediate the deterioration of fear memory impairment induced by lipopolysaccharide 2021 ·Brain Research Bulletin ·(unknown), (unknown), Jianjun Yang, Zhiqiang Zhou, Mu‐Huo Ji	4
14	Machine Learning Can Predict Total Death After Radiofrequency Ablation in Liver Cancer Patients 2021 ·Clinical Medicine Insights Oncology ·Jianhua Tong, Panmiao Liu, Mu‐Huo Ji, Ying Wang, (unknown), Jianjun Yang, Cheng-Mao Zhou	7
15	Predicting Peritoneal Metastasis of Gastric Cancer Patients Based on Machine Learning 2020 ·Cancer Control ·Cheng-Mao Zhou, Ying Wang, Mu‐Huo Ji, Jianhua Tong, Jianjun Yang, Hongping Xia	24
16	Sample Size for Assessing Agreement between Two Methods of Measurement by Bland−Altman Method 2016 ·The International Journal of Biostatistics ·Mengjie Lu, (unknown), Yuxiu Liu, Huazhang Miao, Yongchang Li, Mu‐Huo Ji	200
17	Suberoylanilide hydroxamic acid, a histone deacetylase inhibitor, attenuates postoperative cognitive dysfunction in aging mice 2015 ·Frontiers in Molecular Neuroscience ·Min Jia, Wenxue Liu, (unknown), (unknown), Jiaojiao Yang, (unknown), Mu‐Huo Ji, (unknown), (unknown), Chenzhuo Feng	29
18	Neurobehavioural abnormalities induced by repeated exposure of neonatal rats to sevoflurane can be aggravated by social isolation and enrichment deprivation initiated after exposure to the anaesthetic 2015 ·British Journal of Anaesthesia ·(unknown), Mu‐Huo Ji, Qingsong Zhao, Min Jia, (unknown), (unknown), Jianjun Yang, (unknown), (unknown), (unknown), Anatoly E. Martynyuk	38
19	Pre-administration of curcumin prevents neonatal sevoflurane exposure-induced neurobehavioral abnormalities in mice 2014 ·NeuroToxicology ·Mu‐Huo Ji, Lili Qiu, Jiaojiao Yang, (unknown), Xiaoru Sun, Sihai Zhu, Weiyan Li, Jianjun Yang	52
20	Hemodynamic Effects of Epinephrine in Healthy and Hemorrhagic Shock Rats 2011 ·Current Therapeutic Research ·Jing Wu, Dongsheng Zhang, Mu‐Huo Ji, Zhuan Zhang, Jianjun Yang	3

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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