Jun Mu

1.9k citations
45 papers · 1.5k · h-index 23

Impact in

    • Tryptophan and brain disorders
  • Neurology top 5%
    • Transcranial Magnetic Stimulation Studies
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Jun Mu

43 papers receiving 1.5k citations

Peers

Jun Mu
Comparison fields: 5 of 105
  • Biological Psychiatry 303
  • Neurology 265
  • Behavioral Neuroscience 96
  • Developmental Neuroscience 35
  • Psychiatry and Mental health 109
Replace Damon J. DiSabato with:
Damon J. DiSabato United States
Marong Fang China
Erdinç Dursun Türkiye
Duygu Gezen‐Ak Türkiye
Lana S. Rothenburg Canada
Chi Zhu China
Krista Minéia Wartchow Brazil
Marco Ferrari Italy
Mauricio O. Nava-Mesa Colombia
Ana M. Espinosa‐Oliva Spain
Jun Mu relative to Damon J. DiSabato United States Damon J. DiSabato's profile →
Citations per field
00.5×10×14.4×
Damon J. DiSabato · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jun Mu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Mu Line = papers co-authored together Jun Mu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013165
2 201296
3 201480
4 201472
5 201567
6 202161
7 200860
8 200759
9 200659
10 200159
11 201457
12 201457
13 201854
14
Enhanced induction of very late antigen 4/lymphocyte function-associated antigen 1-dependent T-cell migration to tumor sites following administration of interleukin 12.
199752
15 201450
16 201247
17 201142
18 201438
19 201737
20 200428

About Jun Mu

Jun Mu is a scholar working on Molecular Biology, Biological Psychiatry, Neurology, Physiology and Immunology, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (10 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Bipolar Disorder and Treatment (4 papers), Gut microbiota and health (3 papers), Adipose Tissue and Metabolism (3 papers), Functional Brain Connectivity Studies (3 papers), Acute Ischemic Stroke Management (3 papers) and Neurological Disorders and Treatments (3 papers). The work is most often cited by research in Biological Psychiatry (303 citations), Neurology (265 citations), Behavioral Neuroscience (96 citations), Developmental Neuroscience (35 citations) and Psychiatry and Mental health (109 citations). Jun Mu has collaborated with scholars based in China, Japan and Canada. Frequent co-authors include Jianjun Chen, Deyu Yang, Qi Li, Peng Xie, Peng Zheng, Dan Zhu, Youdong Wei, Lei Gong, Wenxia Jiang and Bo Wu. Their work appears in journals such as Psychiatry Research, Molecular BioSystems, Neurochemical Research, Neurological Research and Placenta.

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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