Jun Mu
Impact in
- Biological Psychiatry top 1%
- Tryptophan and brain disorders
- Neurology top 2%
- Transcranial Magnetic Stimulation Studies
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Metabolomics and Mass Spectrometry Studies 5
- Gut microbiota and health 3
-
- Tryptophan and brain disorders 12
- Co-authors
- Jianjun Chen (11 shared papers)Deyu Yang (7 shared papers)Qi Li (8 shared papers)Peng Xie (9 shared papers)Peng Zheng (5 shared papers)Dan Zhu (3 shared papers)Youdong Wei (2 shared papers)Bo Wu (2 shared papers)
In The Last Decade
Jun Mu
43 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 110
- Biological Psychiatry 391
- Neurology 308
- Behavioral Neuroscience 122
- Psychiatry and Mental health 175
- Developmental Neuroscience 43
Countries citing papers authored by Jun Mu
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
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.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 163 | |
| 2 | 2012 | 96 | |
| 3 | 2014 | 78 | |
| 4 | 2014 | 71 | |
| 5 | 2015 | 66 | |
| 6 | 2021 | 60 | |
| 7 | 2008 | 60 | |
| 8 | 2006 | 59 | |
| 9 | 2001 | 59 | |
| 10 | 2007 | 59 | |
| 11 | 2014 | 56 | |
| 12 | 2014 | 56 | |
| 13 | 2018 | 54 | |
| 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. | 1997 | 52 |
| 15 | 2014 | 48 | |
| 16 | 2012 | 47 | |
| 17 | 2011 | 42 | |
| 18 | 2014 | 38 | |
| 19 | 2017 | 35 | |
| 20 | 2004 | 28 |
About Jun Mu
Jun Mu is a scholar working on Molecular Biology, Biological Psychiatry, Neurology, Epidemiology and Physiology, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (12 papers), Acute Ischemic Stroke Management (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Bipolar Disorder and Treatment (4 papers), Stroke Rehabilitation and Recovery (3 papers), Adipose Tissue and Metabolism (3 papers), Gut microbiota and health (3 papers) and Neurological Disorders and Treatments (3 papers). The work is most often cited by research in Biological Psychiatry (391 citations), Neurology (308 citations), Behavioral Neuroscience (122 citations), Psychiatry and Mental health (175 citations) and Developmental Neuroscience (43 citations). Jun Mu has collaborated with scholars based in China, Canada and Japan. Frequent co-authors include Jianjun Chen, Deyu Yang, Qi Li, Peng Xie, Peng Zheng, Dan Zhu, Youdong Wei, Bo Wu, Lei Gong and Wenxia Jiang. Their work appears in journals such as Psychiatry Research, Neurochemical Research, Placenta, Neurological Research and Molecular BioSystems.
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.