Saito

1.0k citations
80 papers · 870 · h-index 17

Impact in

Papers in

Saito

76 papers receiving 829 citations

Peers

Saito
Comparison fields: 5 of 126
  • Immunology and Allergy 42
  • Cardiology and Cardiovascular Medicine 97
  • Hepatology 32
  • Endocrinology, Diabetes and Metabolism 60
  • Electrical and Electronic Engineering 178
Replace Masashi Shimizu with:
Masashi Shimizu Japan
Zhe Xu China
Jie Min China
K Kimura Japan
Ping Jia China
Yin Wah Fiona Chan Hong Kong
T. Kumazaki Japan
Harald Fischer Germany
Shunsuke Nakamura Japan
Yoshio Kaji Japan
Saito relative to Masashi Shimizu Japan Masashi Shimizu's profile →
Citations per field
00.5×2×4×6×7×
Masashi Shimizu · 1×
Citations per year

Countries citing papers authored by Saito

Since Specialization
Citations

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

Fields of papers citing papers by Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199955
2 201150
3
Fundamentals of Speech Signal Processing
198645
4 199941
5 199340
6 199739
7 198939
8 201138
9 199336
10
Selective growth of human mast cells induced by Steel factor, IL-6 and prostaglandin E_2 from cord blood mononuclear cells.
199733
11 199931
12 201127
13 200027
14 200423
15 200022
16 201319
17 199217
18 199916
19 201115
20 199313

About Saito

Saito is a scholar working on Endocrinology, Diabetes and Metabolism, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging, Hepatology and Cardiology and Cardiovascular Medicine, having authored 80 papers that have together received 870 indexed citations. Recurring topics across this work include Semiconductor materials and devices (7 papers), Advancements in Semiconductor Devices and Circuit Design (6 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers), Silicon Carbide Semiconductor Technologies (4 papers), Cardiovascular Health and Disease Prevention (3 papers), Carbon Nanotubes in Composites (3 papers), Infrared Thermography in Medicine (3 papers) and Semiconductor materials and interfaces (2 papers). The work is most often cited by research in Immunology and Allergy (42 citations), Cardiology and Cardiovascular Medicine (97 citations), Hepatology (32 citations), Endocrinology, Diabetes and Metabolism (60 citations) and Electrical and Electronic Engineering (178 citations). Saito has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Takeshi Takami, Kawakami, Miyazaki, Junpeng Fan, Yamada, Hara, Yoong Ahm Kim, Park, Nakamura and Hashimoto Hashimoto. Their work appears in journals such as British Journal of Dermatology, Vascular Health and Risk Management, International Journal for Vitamin and Nutrition Research, International Journal of Nanomedicine and Clinical & Experimental Allergy.

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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