Sakai

42 papers receiving 267 citations

Peers

Sakai
Comparison fields: 5 of 106
  • Endocrine and Autonomic Systems 28
  • Reproductive Medicine 19
  • Immunology and Allergy 12
  • Aquatic Science 13
  • Ecology 37
Replace Daniel E. Warren with:
Daniel E. Warren United States
Tomoya Nakayama Japan
Roy L. White United States
Yufang Sun China
Adolf D�rge Germany
Masafumi Nagayama Japan
M Maeda Japan
Bryce MacIver United States
Martin F. Wehling United States
Laura Pace United States
Sakai relative to Daniel E. Warren United States Daniel E. Warren's profile →
Citations per field
00.5×1.6×
Daniel E. Warren · 1×
Citations per year

Countries citing papers authored by Sakai

Since Specialization
Citations

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

Fields of papers citing papers by Sakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199840
2
Geochemical Aspects of the McMurdo Saline Lakes with Special Emphasis on the Distribution of Nutrient Matters
197524
3 199921
4
Principle and basic characteristics of hybrid variable-magnetic-force motors
201120
5 201119
6 200115
7 199913
8 201311
9 199211
10 200010
11 20039
12 19979
13 19888
14
Direction of arrival estimating array antenna
20127
15 20117
16 19976
17 20025
18 19975
19 20024
20 20054

About Sakai

Sakai is a scholar working on Biological Psychiatry, Reproductive Medicine, Pharmacology, Otorhinolaryngology and Electrical and Electronic Engineering, having authored 44 papers that have together received 279 indexed citations. Recurring topics across this work include Semiconductor Lasers and Optical Devices (4 papers), Crustacean biology and ecology (3 papers), Terahertz technology and applications (3 papers), Superconducting and THz Device Technology (2 papers), Photonic Crystals and Applications (2 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers), Semiconductor materials and interfaces (2 papers) and Silicon and Solar Cell Technologies (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (28 citations), Reproductive Medicine (19 citations), Immunology and Allergy (12 citations), Aquatic Science (13 citations) and Ecology (37 citations). Sakai has collaborated with scholars based in Japan, Netherlands and South Korea. Frequent co-authors include Harada, Hashimoto Hashimoto, Kato, Sakamoto, Inoue, Won‐Myong Bahk, Tanaka, Yoshifumi Kobayashi, Yamada and Ogawa. Their work appears in journals such as Journal of Neuroendocrinology, The American Naturalist, International Journal of Oncology, Endoscopy and Fish & Shellfish 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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