Muni Tang

1.8k citations
13 papers · 229 · h-index 8

Impact in

Papers in

Muni Tang

12 papers receiving 223 citations

Peers

Muni Tang
Comparison fields: 5 of 61
  • Psychiatry and Mental health 89
  • Neurology 28
  • Geriatrics and Gerontology 10
  • Physiology 56
  • Biological Psychiatry 5
Replace Connie Holt with:
Connie Holt United States
Xiao‐Yu He China
Galeno Rojas Argentina
T Roy India
Renata Teles Vieira Brazil
Natasha Z. R. Steele United States
Elżbieta Trypka Poland
Paulo Eduardo Mestrinelli Carrilho Brazil
Edgardo Reich Argentina
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Muni Tang relative to Connie Holt United States Connie Holt's profile →
Citations per field
00.5×10×13.5×
Connie Holt · 1×
Citations per year

Countries citing papers authored by Muni Tang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

13 of 13 papers shown
#Work
1 201741
2 201339
3 201638
4
[A caregiver survey in Beijing, Xi'an, Shanghai and Chengdu: health services status for the elderly with dementia].
200431
5 201022
6 200916
7 200815
8
[The prevalence of mild cognitive impairment among residents aged 55 or over in Chengdu area].
200312
9
[Analysis on association between the polymorphisms in apolipoprotein E, interleukin-1 alpha genes and Alzheimer's disease in Chengdu area].
20046
10 20144
11 20084
12
[The C224T polymorphism in the cathepsin D gene is not associated with sporadic Alzheimer's disease in Chinese].
20051
13 20250

About Muni Tang

Muni Tang is a scholar working on Physiology, Psychiatry and Mental health, Molecular Biology, Clinical Psychology and Biological Psychiatry, having authored 13 papers that have together received 229 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Dementia and Cognitive Impairment Research (3 papers), Autism Spectrum Disorder Research (1 paper), Tryptophan and brain disorders (1 paper), Obsessive-Compulsive Spectrum Disorders (1 paper), S100 Proteins and Annexins (1 paper), NF-κB Signaling Pathways (1 paper) and RNA regulation and disease (1 paper). The work is most often cited by research in Psychiatry and Mental health (89 citations), Neurology (28 citations), Geriatrics and Gerontology (10 citations), Physiology (56 citations) and Biological Psychiatry (5 citations). Muni Tang has collaborated with scholars based in China. Frequent co-authors include Kangguang Lin, D. C. Rao, Xiehe Liu, Weiqiu Cheng, Yi Tang, Dai Zhang, Yueqin Huang, Weihua Yue, Zhaorui Liu and Zhenxin Zhang. Their work appears in journals such as Neurological Sciences, Neurobiology of Aging, Dementia and Geriatric Cognitive Disorders, Archives of Gerontology and Geriatrics and Scientific Reports.

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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