K. Sano

16 papers receiving 918 citations

Peers

K. Sano
Comparison fields: 5 of 84
  • Cell Biology 180
  • Immunology and Allergy 61
  • Cellular and Molecular Neuroscience 178
  • Molecular Biology 587
  • Electronic, Optical and Magnetic Materials 135
Replace Takeshi Asakura with:
Takeshi Asakura Japan
Shinji Tanaka Japan
Jennifer K. Ng United States
Ryusuke Kuwahara Japan
Satoko Abe Japan
Kourous A. Rezai United States
K Takada Japan
Takushi Miyoshi Japan
Ying Xiong China
Jung-uk Lee South Korea
K. Sano relative to Takeshi Asakura Japan Takeshi Asakura's profile →
Citations per field
00.5×2×4×6×7.9×
Takeshi Asakura · 1×
Citations per year

Countries citing papers authored by K. Sano

Since Specialization
Citations

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

Fields of papers citing papers by K. Sano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1991335
2 1993331
3 199798
4 200950
5 200937
6 198036
7 199730
8 20019
9 20076
10
Pharmacological and biochemical studies on a new potential neuroleptic, N-(1-benzyl-3-pyrrolidinyl)-5-chloro-2-methoxy-4-methylaminobenzamide (YM-08050).
19795
11 19935
12
Dopamine receptor system involving adenylate cyclase in canine caudate nucleus.
19832
13
[Surgery of pineal tumors--anatomical consideration of various approaches].
19842
14
[2 cases of intracranial adenoid cystic carcinoma].
19692
15
[Prolonged posttraumatic coma. 2. Pathology and pathogenesis].
19651
16 20061
17 20210

About K. Sano

K. Sano is a scholar working on Electronic, Optical and Magnetic Materials, Cellular and Molecular Neuroscience, Materials Chemistry, Condensed Matter Physics and Biomedical Engineering, having authored 17 papers that have together received 950 indexed citations. Recurring topics across this work include Acoustic Wave Resonator Technologies (4 papers), Ferroelectric and Piezoelectric Materials (4 papers), Receptor Mechanisms and Signaling (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Shape Memory Alloy Transformations (2 papers), Multiferroics and related materials (2 papers), GaN-based semiconductor devices and materials (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Cell Biology (180 citations), Immunology and Allergy (61 citations), Cellular and Molecular Neuroscience (178 citations), Molecular Biology (587 citations) and Electronic, Optical and Magnetic Materials (135 citations). K. Sano has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Hidenobu Tanihara, Shintaro Suzuki, Ronald L. Heimark, Shigeru Taketani, Tom St. John, Shuichi Obata, Mari K. Davidson, Takashi Kawakubo, Naoko Yanase and Kazuhide Abe. Their work appears in journals such as Japanese Journal of Applied Physics, Scripta Materialia, Journal of Biological Chemistry, The EMBO Journal and Physical Review B.

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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