Jin‐Tai Yu

4.6k citations
155 papers · 2.5k indexed · 1 hit paper · h-index 28
Topics
Alzheimer's disease research and treatments (52 papers)Dementia and Cognitive Impairment Research (50 papers)Parkinson's Disease Mechanisms and Treatments (16 papers)

In The Last Decade

Jin‐Tai Yu

142 papers receiving 2.5k citations

Hit Papers

Plasma proteomic profiles predict future dementia in heal...20242026202520244080120

Peers

Jin‐Tai Yu
Comparison fields: 5 of 128
  • Physiology 804
  • Psychiatry and Mental health 653
  • Molecular Biology 421
  • Neurology 395
  • Neurology 246
Replace Claudia L. Satizábal with:
Claudia L. Satizábal United States
Timothy J. Hohman United States
Thomas S. Wingo United States
Yifeng Du China
Xi‐Peng Cao China
Silke Kern Sweden
Min Soo Byun South Korea
Erin M. Jonaitis United States
S. Lance Macaulay Australia
Ya‐Nan Ou China
Jin‐Tai Yu relative to Claudia L. Satizábal United States Claudia L. Satizábal's profile →
Citations per field
00.5×1.5×2.1×
Claudia L. Satizábal · 1×
Citations per year

Countries citing papers authored by Jin‐Tai Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Tai Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin‐Tai Yu. 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 Jin‐Tai Yu. The network helps show where Jin‐Tai Yu may publish in the future.

Co-authorship network of co-authors of Jin‐Tai Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Tai Yu. A scholar is included among the top collaborators of Jin‐Tai Yu 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 Jin‐Tai Yu. Jin‐Tai Yu 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
#WorkIndexed citations
1 0
2 0
3 1
4 2
5 1
6 1
7 12
8 11
9 4
10 1
11 2
12 11
13 4
14 39
15 3
16 25
17 24
18 62
19 25
20 57

About Jin‐Tai Yu

Jin‐Tai Yu is a scholar working on Biological Psychiatry, Psychiatry and Mental health and Neurology, having authored 155 papers that have together received 2.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (52 papers), Dementia and Cognitive Impairment Research (50 papers) and Parkinson's Disease Mechanisms and Treatments (16 papers). The work is most often cited by research in Biological Psychiatry (196 citations), Neurology (395 citations) and Psychiatry and Mental health (653 citations). Jin‐Tai Yu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Lan Tan, Qiang Dong, Wei Cheng, Ya‐Nan Ou, Ya-Ru Zhang, Jianfeng Feng, Yuyuan Huang, Ya‐Hui Ma, Shi-Dong Chen and Xue‐Ning Shen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

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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