Yi Tang

7.9k total citations · 1 hit paper
146 papers, 2.5k citations indexed

About

Yi Tang is a scholar working on Psychiatry and Mental health, Molecular Biology and Physiology. According to data from OpenAlex, Yi Tang has authored 146 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Psychiatry and Mental health, 33 papers in Molecular Biology and 33 papers in Physiology. Recurrent topics in Yi Tang's work include Alzheimer's disease research and treatments (31 papers), Dementia and Cognitive Impairment Research (30 papers) and Neuroinflammation and Neurodegeneration Mechanisms (12 papers). Yi Tang is often cited by papers focused on Alzheimer's disease research and treatments (31 papers), Dementia and Cognitive Impairment Research (30 papers) and Neuroinflammation and Neurodegeneration Mechanisms (12 papers). Yi Tang collaborates with scholars based in China, United States and Germany. Yi Tang's co-authors include Jianping Jia, Yi Xing, Qi Qin, Cuibai Wei, Yunsi Yin, Longfei Jia, Fen Wang, Serge Gauthier, Meina Quan and Tan Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Yi Tang

129 papers receiving 2.4k citations

Hit Papers

Dementia in China: epidemiology, clinical management, and... 2019 2026 2021 2023 2019 100 200 300 400 500

Peers

Yi Tang
Comparison fields: 5 of 142
  • Physiology 667
  • Molecular Biology 620
  • Psychiatry and Mental health 587
  • Neurology 554
  • Cognitive Neuroscience 253
Replace Eun‐Joo Kim with:
Eun‐Joo Kim South Korea
Longfei Jia China
Xi‐Peng Cao China
Ya‐Hui Ma China
Yifeng Du China
Masaya Tachibana Japan
Maria Teresa Ferretti Switzerland
Michael Malek‐Ahmadi United States
Rena Li United States
Petroula Proitsi United Kingdom
Eun‐Joo Kim South Korea View profile →
Citations per field, relative to Yi Tang
Yi Tang · 1×
Citations per year, relative to Yi Tang
Yi Tang · 1×

Countries citing papers authored by Yi Tang

Since Specialization
Citations

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

Fields of papers citing papers by Yi Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Tang

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 1
3 1
4 0
5 0
6 6
7 0
8 2
9 0
10 2
11 4
12 3
13 0
14 2
15 3
16 10
17 8
18 126
19 135
20 5

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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