Daichi Sato

22 papers receiving 325 citations

Peers

Daichi Sato
Comparison fields: 5 of 78
  • Aging 16
  • Cell Biology 116
  • Cellular and Molecular Neuroscience 81
  • Developmental Neuroscience 10
  • Reproductive Medicine 18
Replace Kalina T. Haas with:
Kalina T. Haas France
Xiaobo Bai United States
Tetsuo Ichii Japan
Jonathan R. Bowen United States
Maurício Rocha-Martins Germany
Dhevahi Niranjan United Kingdom
Charlotte E. Handford United States
Hirohisa Masuda Japan
Weston Stauffer United States
Joel Wellbourne-Wood Switzerland
Daichi Sato relative to Kalina T. Haas France Kalina T. Haas's profile →
Citations per field
00.5×6.7×
Kalina T. Haas · 1×
Citations per year

Countries citing papers authored by Daichi Sato

Since Specialization
Citations

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

Fields of papers citing papers by Daichi Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daichi Sato, 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 Daichi Sato Line = papers co-authored together Daichi Sato links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008157
2 201330
3 202022
4 201622
5 202017
6 201913
7 20229
8 20109
9 20228
10
The karyotype analysis in Zingi-berales with special reference to the protokaryotype and stable karyotype.
19608
11 20247
12 20136
13 20225
14 20135
15
Law of karyotype evolution with special reference to the protokaryotype.
19623
16 20223
17 20042
18 20172
19 20212
20 20212

About Daichi Sato

Daichi Sato is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Electrical and Electronic Engineering and Surgery, having authored 29 papers that have together received 334 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (12 papers), Medical Imaging Techniques and Applications (10 papers), Radiation Dose and Imaging (9 papers), Radiation Detection and Scintillator Technologies (2 papers), Epigenetics and DNA Methylation (2 papers), Nuclear Physics and Applications (2 papers), Reproductive Biology and Fertility (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Aging (16 citations), Cell Biology (116 citations), Cellular and Molecular Neuroscience (81 citations), Developmental Neuroscience (10 citations) and Reproductive Medicine (18 citations). Daichi Sato has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Tadashi Uemura, Daisuke Satoh, Taiichi Tsuyama, Hiroyuki Ohkura, Motoki Saito, Melissa M. Rolls, Fuyuki Ishikawa, Hisataka Iwata, Y. Monji and Takehito Kuwayama. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Instrumentation, Radiation Measurements, In Vitro Cellular & Developmental Biology - Animal and Frontiers in Immunology.

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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