Muni Tang
Impact in
- Psychiatry and Mental health top 5%
- Dementia and Cognitive Impairment Research
- Neurology top 10%
- Neurological Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Dementia and Cognitive Impairment Research 7
-
- Alzheimer's disease research and treatments 4
- Co-authors
- Kangguang Lin (5 shared papers)D. C. Rao (2 shared papers)Yi Ping Tang (1 shared paper)Weihua Yue (1 shared paper)Zhaorui Liu (1 shared paper)Weiqiu Cheng (1 shared paper)Tianlan Lu (1 shared paper)Yueqin Huang (1 shared paper)
- Journals
- Alzheimer s & Dementia (5 papers)Neurological Sciences (2 papers)Neurobiology of Aging (1 paper)Asia-Pacific Psychiatry (1 paper)Dementia and Geriatric Cognitive Disorders (1 paper)
- Partner nations
- China
In The Last Decade
Muni Tang
20 papers receiving 1.3k citations
Muni Tang's Hit Papers
Peers
Comparison fields: 5 of 111
- Psychiatry and Mental health 425
- Neurology 138
- Biological Psychiatry 39
- Physiology 265
- Neuropsychology and Physiological Psychology 13
Countries citing papers authored by Muni Tang
This map shows the geographic impact of Muni Tang'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 Muni Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muni Tang more than expected).
Fields of papers citing papers by Muni Tang
This network shows the impact of papers produced by Muni Tang. 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 Muni Tang. The network helps show where Muni Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Muni Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The cost of Alzheimer's disease in China and re‐estimation of costs worldwide Hit paper breakdown → | 2018 | 543 |
| 2 | 2013 | 360 | |
| 3 | 2014 | 151 | |
| 4 | 2020 | 48 | |
| 5 | 2016 | 45 | |
| 6 | 2013 | 44 | |
| 7 | 2017 | 44 | |
| 8 | 2017 | 23 | |
| 9 | 2010 | 22 | |
| 10 | 2009 | 16 | |
| 11 | 2008 | 15 | |
| 12 | 2010 | 8 | |
| 13 | 2008 | 6 | |
| 14 | 2016 | 5 | |
| 15 | 2014 | 4 | |
| 16 | 2025 | 3 | |
| 17 | 2025 | 1 | |
| 18 | [The C224T polymorphism in the cathepsin D gene is not associated with sporadic Alzheimer's disease in Chinese]. | 2005 | 1 |
| 19 | 2015 | 1 | |
| 20 | 2017 | 1 |
About Muni Tang
Muni Tang is a scholar working on Psychiatry and Mental health, Physiology, Genetics, Biological Psychiatry and Molecular Biology, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (7 papers), Alzheimer's disease research and treatments (4 papers), Bioinformatics and Genomic Networks (3 papers), Genetic Associations and Epidemiology (2 papers), Tryptophan and brain disorders (1 paper), Machine Learning in Bioinformatics (1 paper), RNA regulation and disease (1 paper) and Obsessive-Compulsive Spectrum Disorders (1 paper). The work is most often cited by research in Psychiatry and Mental health (425 citations), Neurology (138 citations), Biological Psychiatry (39 citations), Physiology (265 citations) and Neuropsychology and Physiological Psychology (13 citations). Muni Tang has collaborated with scholars based in China. Frequent co-authors include Kangguang Lin, D. C. Rao, Yi Ping Tang, Weihua Yue, Zhaorui Liu, Weiqiu Cheng, Tianlan Lu, Yueqin Huang, Dai Zhang and Xiaoying Cheng. Their work appears in journals such as Alzheimer s & Dementia, Neurological Sciences, Neurobiology of Aging, Asia-Pacific Psychiatry and Dementia and Geriatric Cognitive Disorders.
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.