Mouni Tang

405 total citations
16 papers, 250 citations indexed

About

Mouni Tang is a scholar working on Physiology, Clinical Biochemistry and Molecular Biology. According to data from OpenAlex, Mouni Tang has authored 16 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 4 papers in Clinical Biochemistry and 3 papers in Molecular Biology. Recurrent topics in Mouni Tang's work include Alzheimer's disease research and treatments (7 papers), Paraoxonase enzyme and polymorphisms (4 papers) and Nuclear Receptors and Signaling (2 papers). Mouni Tang is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Paraoxonase enzyme and polymorphisms (4 papers) and Nuclear Receptors and Signaling (2 papers). Mouni Tang collaborates with scholars based in China, Australia and United States. Mouni Tang's co-authors include Zhen Hong, Zhenxin Zhang, Yongtao Zhou, Cheng‐Bin Wu, Jun‐Wu Zhang, Jiajun Shi, Xiehe Liu, Sizhong Zhang, Tao Li and Cui Ma and has published in prestigious journals such as Brain Research, Journal of Affective Disorders and The Journals of Gerontology Series A.

In The Last Decade

Mouni Tang

16 papers receiving 249 citations

Peers

Mouni Tang
Comparison fields: 5 of 60
  • Physiology 92
  • Clinical Biochemistry 56
  • Molecular Biology 49
  • Cellular and Molecular Neuroscience 46
  • Pharmacology 45
Replace Joanne M. Bell with:
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Shaoming Sang China
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Joanne M. Bell United States View profile →
Citations per field, relative to Mouni Tang
Mouni Tang · 1×
Citations per year, relative to Mouni Tang
Mouni Tang · 1×

Countries citing papers authored by Mouni Tang

Since Specialization
Citations

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

Fields of papers citing papers by Mouni Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mouni Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Mouni Tang. A scholar is included among the top collaborators of Mouni Tang 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 Mouni Tang. Mouni Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 6
2 2
3 56
4 3
5 15
6 10
7 28
8 21
9 8
10
[Paraoxonase 1 gene Gln192Arg polymorphism in and Alzheimer disease].
1
11 22
12 18
13
[No evidence for genetic association between alpha-2 macroglobulin I1000V polymorphism and sporadic Alzheimer's disease in two independent Chinese populations].
1
14 32
15
[Gln192Arg polymorphism of the paraoxonase-1 gene is not associated with Alzheimer's disease in Chinese].
10
16 17

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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