Jun Mu

1.9k total citations
43 papers, 1.5k citations indexed

About

Jun Mu is a scholar working on Molecular Biology, Biological Psychiatry and Neurology. According to data from OpenAlex, Jun Mu has authored 43 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Biological Psychiatry and 8 papers in Neurology. Recurrent topics in Jun Mu's work include Tryptophan and brain disorders (12 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Acute Ischemic Stroke Management (5 papers). Jun Mu is often cited by papers focused on Tryptophan and brain disorders (12 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Acute Ischemic Stroke Management (5 papers). Jun Mu collaborates with scholars based in China, Canada and Japan. Jun Mu's co-authors include Jianjun Chen, Deyu Yang, Qi Li, Peng Xie, Peng Zheng, Dan Zhu, Youdong Wei, Lei Gong, Bo Wu and Wenxia Jiang and has published in prestigious journals such as Scientific Reports, Brain Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Jun Mu

43 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Mu China	22	493	391	308	232	175	43	1.5k
Marco Ferrari Italy	25	384 0.8×	272 0.7×	309 1.0×	163 0.7×	191 1.1×	67	1.8k
Libo Zhao China	22	399 0.8×	391 1.0×	187 0.6×	233 1.0×	138 0.8×	65	1.2k
Adam J. Walker Australia	21	306 0.6×	360 0.9×	137 0.4×	170 0.7×	189 1.1×	44	1.3k
Damon J. DiSabato United States	8	395 0.8×	296 0.8×	695 2.3×	243 1.0×	90 0.5×	11	1.5k
Tao Xue China	21	390 0.8×	192 0.5×	198 0.6×	124 0.5×	70 0.4×	102	1.3k
Paola Morales Chile	26	385 0.8×	188 0.5×	221 0.7×	199 0.9×	70 0.4×	75	1.7k
Gianmario Frigo Italy	24	427 0.9×	204 0.5×	198 0.6×	249 1.1×	142 0.8×	48	1.6k
Marong Fang China	26	844 1.7×	197 0.5×	492 1.6×	285 1.2×	68 0.4×	105	2.2k
Yu‐Li Liu Taiwan	26	613 1.2×	230 0.6×	114 0.4×	178 0.8×	280 1.6×	103	1.9k

Countries citing papers authored by Jun Mu

Since Specialization

Citations

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

Fields of papers citing papers by Jun Mu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Mu. A scholar is included among the top collaborators of Jun Mu 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 Jun Mu. Jun Mu 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

Jiang, Wenxia, Jianjun Chen, Lei Gong, et al.. (2023). Microbiota-derived short-chain fatty acids may participate in post-stroke depression by regulating host's lipid metabolism. Journal of Psychiatric Research. 161. 426–434. 13 indexed citations

Mu, Jun, Arun Ravindran, Pim Cuijpers, et al.. (2023). Stroke depression: a concept with clinical applicability. Stroke and Vascular Neurology. 9(3). 189–193. 3 indexed citations

Jiang, Wenxia, Lei Gong, Fang Liu, Yikun Ren, & Jun Mu. (2021). Alteration of Gut Microbiome and Correlated Lipid Metabolism in Post-Stroke Depression. Frontiers in Cellular and Infection Microbiology. 11. 663967–663967. 60 indexed citations

Liu, Fang, Jianjun Chen, Yang Du, et al.. (2021). Misidentification of Acute Psychiatric Symptoms in the Emergency Room: Clinical Experience in China. Frontiers in Psychiatry. 11. 579484–579484. 1 indexed citations

Chen, Jianjun, et al.. (2021). Potential markers for predicting delayed encephalopathy in patients with acute carbon monoxide poisoning. Journal of Clinical Neuroscience. 95. 129–133. 4 indexed citations

Mao, Qiang, Xue Gong, Chanjuan Zhou, et al.. (2017). Up-regulation of SIRT6 in the hippocampus induced rats with depression-like behavior via the block Akt/GSK3β signaling pathway. Behavioural Brain Research. 323. 38–46. 35 indexed citations

Mu, Jun, Yongtao Yang, Jin Chen, et al.. (2015). Elevated host lipid metabolism revealed by iTRAQ-based quantitative proteomic analysis of cerebrospinal fluid of tuberculous meningitis patients. Biochemical and Biophysical Research Communications. 466(4). 689–695. 21 indexed citations

Liu, Meiling, Peng Zheng, Zhao Liu, et al.. (2014). GC-MS based metabolomics identification of possible novel biomarkers for schizophrenia in peripheral blood mononuclear cells. Molecular BioSystems. 10(9). 2398–2406. 56 indexed citations

Zheng, Peng, Gaoping Ren, Meiling Liu, et al.. (2014). 2,4-Dihydroxypyrimidine is a potential urinary metabolite biomarker for diagnosing bipolar disorder. Molecular BioSystems. 10(4). 813–819. 38 indexed citations

10.

Chen, Jianjun, Zhao Liu, Dan Zhu, et al.. (2014). Bilateral vs. unilateral repetitive transcranial magnetic stimulation in treating major depression: A meta-analysis of randomized controlled trials. Psychiatry Research. 219(1). 51–57. 56 indexed citations

11.

Liu, Li, Wenchao Zhang, Li Wang, et al.. (2014). Curcumin Prevents Cerebral Ischemia Reperfusion Injury Via Increase of Mitochondrial Biogenesis. Neurochemical Research. 39(7). 1322–1331. 78 indexed citations

12.

Chen, Jianjun, Zhao Liu, Songhua Fan, et al.. (2014). Combined Application of NMR- and GC-MS-Based Metabonomics Yields a Superior Urinary Biomarker Panel for Bipolar Disorder. Scientific Reports. 4(1). 5855–5855. 71 indexed citations

13.

Mu, Jun, Robert P. Ostrowski, Paul R. Krafft, Jiping Tang, & John H. Zhang. (2013). Serum leptin levels decrease after permanent MCAo in the rat and remain unaffected by delayed hyperbaric oxygen therapy. Medical Gas Research. 3(1). 8–8. 6 indexed citations

14.

Xu, Hongbo, Liang Fang, Zicheng Hu, et al.. (2012). Potential clinical utility of plasma amino acid profiling in the detection of major depressive disorder. Psychiatry Research. 200(2-3). 1054–1057. 47 indexed citations

15.

Tang, Jin, et al.. (2010). Endogenous tissue plasminogen activator increases hemorrhagic transformation induced by heparin after ischemia reperfusion in rat brains. Neurological Research. 32(5). 541–546. 18 indexed citations

16.

Mu, Jun, et al.. (2009). Albumin ameliorates tissue plasminogen activator-mediated blood–brain barrier permeability and ischemic brain injury in rats. Neurological Research. 31(2). 189–194. 19 indexed citations

17.

Li, Yunming, Peng Xie, Jun Mu, et al.. (2008). Brain magnetic resonance imaging abnormalities in neuromyelitis optica. Acta Neurologica Scandinavica. 118(4). 218–225. 60 indexed citations

18.

Kulandavelu, Shathiyah, Nana Sunn, Jun Mu, et al.. (2006). Embryonic and Neonatal Phenotyping of Genetically Engineered Mice. ILAR Journal. 47(2). 103–117. 59 indexed citations

19.

Lu, Yisheng, Jun Mu, Yuqing Zhou, et al.. (2004). Ultrasonic detection and developmental changes in calcification of the placenta during normal pregnancy in mice. Placenta. 26(2-3). 129–137. 28 indexed citations

20.

Fukuda, Hirotsugu, Takuji Tomimatsu, Noriyoshi Watanabe, et al.. (2001). Post-ischemic hypothermia blocks caspase-3 activation in the newborn rat brain after hypoxia–ischemia. Brain Research. 910(1-2). 187–191. 59 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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