Takashi Daimon

162 papers receiving 3.9k citations

Peers

Takashi Daimon
Comparison fields: 5 of 127
  • Otorhinolaryngology 202
  • Surgery 1.1k
  • Cardiology and Cardiovascular Medicine 499
  • Pulmonary and Respiratory Medicine 623
  • Biomaterials 275
Replace Puneeth Iyengar with:
Puneeth Iyengar United States
Masataka Ikeda Japan
Ann Hoeben Netherlands
John Wong Hong Kong
Vinod P. Balachandran United States
Gang Wu China
Mitsugu Sekimoto Japan
Rong Guo China
Arjun Pennathur United States
Quan Wang China
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Citations per field
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Citations per year

Countries citing papers authored by Takashi Daimon

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Daimon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Takashi Daimon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Takashi Daimon Line = papers co-authored together Takashi Daimon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012373
2 2014234
3 2013155
4 2012143
5 2015139
6 2010120
7 201788
8 201585
9 201383
10 201782
11 201381
12 200674
13 201470
14 201460
15 201359
16 201354
17 201153
18 201053
19 201753
20 201352

About Takashi Daimon

Takashi Daimon is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery, Statistics and Probability and Management Science and Operations Research, having authored 167 papers that have together received 4.0k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (19 papers), Optimal Experimental Design Methods (14 papers), Cardiac Valve Diseases and Treatments (13 papers), Head and Neck Cancer Studies (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Mechanical Circulatory Support Devices (5 papers), Mesenchymal stem cell research (5 papers) and Cardiovascular Function and Risk Factors (5 papers). The work is most often cited by research in Otorhinolaryngology (202 citations), Surgery (1.1k citations), Cardiology and Cardiovascular Medicine (499 citations), Pulmonary and Respiratory Medicine (623 citations) and Biomaterials (275 citations). Takashi Daimon has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Ichiro Wakabayashi, Yoshiki Sawa, Shigeru Miyagawa, Satsuki Fukushima, Teruo Okano, Atsuhiro Saito, Masashi Kawamura, Tatsuya Shimizu, Kenji Miki and Köichi Toda. Their work appears in journals such as Circulation Journal, Journal of Thoracic and Cardiovascular Surgery, International Journal of Radiation Oncology*Biology*Physics, Circulation and Statistics in Medicine.

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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