Yusuke Takeda

443 total citations
27 papers, 310 citations indexed

About

Yusuke Takeda is a scholar working on Molecular Biology, Cognitive Neuroscience and Nephrology. According to data from OpenAlex, Yusuke Takeda has authored 27 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Cognitive Neuroscience and 4 papers in Nephrology. Recurrent topics in Yusuke Takeda's work include EEG and Brain-Computer Interfaces (6 papers), Neural dynamics and brain function (5 papers) and Connective Tissue Growth Factor Research (3 papers). Yusuke Takeda is often cited by papers focused on EEG and Brain-Computer Interfaces (6 papers), Neural dynamics and brain function (5 papers) and Connective Tissue Growth Factor Research (3 papers). Yusuke Takeda collaborates with scholars based in Japan, United States and Netherlands. Yusuke Takeda's co-authors include Yosuke Nagai, Tamotsu Yokota, Keiichiro Matoba, Kazunori Utsunomiya, Rimei Nishimura, Yasushi Kanazawa, Daiji Kawanami, Yoshiharu Yamamoto, Kentaro Yamanaka and Sho Ishizawa and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Blood.

In The Last Decade

Yusuke Takeda

25 papers receiving 307 citations

Peers

Yusuke Takeda
Comparison fields: 5 of 69
  • Molecular Biology 130
  • Cognitive Neuroscience 56
  • Nephrology 48
  • Endocrinology, Diabetes and Metabolism 43
  • Surgery 35
Replace Eri Adachi with:
Eri Adachi Japan
Jiwen Li China
Yong Fu China
Jingwei Li China
Qiang Ye China
Siyang Yu China
Mary Ellen Cosenza United States
Sahana Suresh Babu United States
Lei Xiao China
Eri Adachi Japan View profile →
Citations per field, relative to Yusuke Takeda
Yusuke Takeda · 1×
Citations per year, relative to Yusuke Takeda
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Countries citing papers authored by Yusuke Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Yusuke Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yusuke Takeda

This figure shows the co-authorship network connecting the top 25 collaborators of Yusuke Takeda. A scholar is included among the top collaborators of Yusuke Takeda 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 Yusuke Takeda. Yusuke Takeda 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 0
2 1
3 3
4 4
5 9
6 6
7 23
8 38
9
Abstract 14063: Human CD271+ Adipose-Derived Stem Cells Possess Angiogenic Capacity Through Mediating M2-Dominant Macrophage Polarization in Cell Therapy
1
10 22
11 15
12 1
13 0
14 3
15 13
16 11
17 3
18 20
19 13
20 14

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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