Kenji Yasuda

6.8k total citations
287 papers, 4.7k citations indexed

About

Kenji Yasuda is a scholar working on Biomedical Engineering, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kenji Yasuda has authored 287 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Biomedical Engineering, 80 papers in Molecular Biology and 57 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kenji Yasuda's work include Neuroscience and Neural Engineering (50 papers), 3D Printing in Biomedical Research (50 papers) and Microfluidic and Bio-sensing Technologies (46 papers). Kenji Yasuda is often cited by papers focused on Neuroscience and Neural Engineering (50 papers), 3D Printing in Biomedical Research (50 papers) and Microfluidic and Bio-sensing Technologies (46 papers). Kenji Yasuda collaborates with scholars based in Japan, United Kingdom and United States. Kenji Yasuda's co-authors include Yuichi Wakamoto, Tomoyuki Kaneko, Akihiro Hattori, I. Inoue, Hiroyuki Moriguchi, Shin’ichi Ishiwata, Ikurou Suzuki, Hideo Ohuchi, Kensuke Kojima and Kazuo Takeda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Kenji Yasuda

271 papers receiving 4.6k citations

Peers

Kenji Yasuda
Comparison fields: 5 of 166
  • Biomedical Engineering 2.0k
  • Molecular Biology 1.2k
  • Cardiology and Cardiovascular Medicine 910
  • Cellular and Molecular Neuroscience 744
  • Surgery 466
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Citations per field, relative to Kenji Yasuda
Kenji Yasuda · 1×
Citations per year, relative to Kenji Yasuda
Kenji Yasuda · 1×

Countries citing papers authored by Kenji Yasuda

Since Specialization
Citations

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

Fields of papers citing papers by Kenji Yasuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenji Yasuda

This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Yasuda. A scholar is included among the top collaborators of Kenji Yasuda 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 Kenji Yasuda. Kenji Yasuda 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 4
2 2
3 0
4 1
5
On-chip pre-clinical cardiac toxicity: Testing compounds beyond herg and qt using hES/hiPS cardiomyocyte re-entry cell network model on a chip
2
6 2
7 15
8
The Efficacy of Laparoscopic Procedures for the Intestinal Obstructions without a History of Laparotomy
0
9 7
10 4
11 84
12 8
13 1
14 1
15 4
16 0
17 20
18 17
19 0
20 3

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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