S. Nakamura

1.1k total citations
57 papers, 930 citations indexed

About

S. Nakamura is a scholar working on Condensed Matter Physics, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, S. Nakamura has authored 57 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Condensed Matter Physics, 13 papers in Electrical and Electronic Engineering and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in S. Nakamura's work include GaN-based semiconductor devices and materials (11 papers), Physics of Superconductivity and Magnetism (7 papers) and ZnO doping and properties (6 papers). S. Nakamura is often cited by papers focused on GaN-based semiconductor devices and materials (11 papers), Physics of Superconductivity and Magnetism (7 papers) and ZnO doping and properties (6 papers). S. Nakamura collaborates with scholars based in Japan, United States and Czechia. S. Nakamura's co-authors include Shigefusa F. Chichibu, T. Sota, Hideharu Funatsu, Hidetaka Noma, Hidetoshi Yamashita, Tatsuya Mimura, Takahiro Deguchi, Ryuichi Morishita, Toshio Ogihara and Motokuni Aoki and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

S. Nakamura

51 papers receiving 894 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. Nakamura Japan 17 274 208 180 169 136 57 930
Toshiro Tanaka Japan 14 83 0.3× 235 1.1× 105 0.6× 91 0.5× 163 1.2× 91 810
James M. Gordon United States 21 271 1.0× 37 0.2× 268 1.5× 246 1.5× 45 0.3× 41 1.1k
Takafumi Yamada Japan 18 78 0.3× 115 0.6× 106 0.6× 202 1.2× 57 0.4× 96 1.2k
Yuankai K. Tao United States 26 276 1.0× 138 0.7× 110 0.6× 157 0.9× 150 1.1× 104 2.1k
Masahiro Fujimoto Japan 19 45 0.2× 130 0.6× 83 0.5× 89 0.5× 67 0.5× 78 1.1k
Shirong Chen China 13 31 0.1× 171 0.8× 36 0.2× 59 0.3× 172 1.3× 96 683
Hoang Yan Lin Taiwan 22 33 0.1× 596 2.9× 225 1.3× 103 0.6× 155 1.1× 120 1.4k
Wooseung Lee South Korea 20 393 1.4× 330 1.6× 85 0.5× 142 0.8× 110 0.8× 113 1.3k
Kotaro Saito Japan 17 100 0.4× 45 0.2× 98 0.5× 247 1.5× 264 1.9× 91 1.0k
Satoshi Koyama Japan 15 848 3.1× 149 0.7× 175 1.0× 68 0.4× 174 1.3× 109 1.5k

Countries citing papers authored by S. Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by S. Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of S. Nakamura. A scholar is included among the top collaborators of S. Nakamura based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. Nakamura. S. Nakamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mukohda, Masashi, Takanori Yano, Toshiyasu Matsui, et al.. (2023). Treatment with Ligilactobacillus murinus lowers blood pressure and intestinal permeability in spontaneously hypertensive rats. Scientific Reports. 13(1). 15197–15197. 30 indexed citations
2.
Arai, Hiromasa, Michihiko Tajiri, S. Nakamura, et al.. (2021). A spectrum of Thymic mucosa-associated lymphoid tissue lymphoma and Thymic amyloidosis in the patient with Auto immune disease: a case series. Mediastinum. 5. 12–12. 3 indexed citations
3.
Mukohda, Masashi, S. Nakamura, Kosuke Takeya, et al.. (2021). Streptococcal Exotoxin Streptolysin O Causes Vascular Endothelial Dysfunction Through PKCβ Activation. Journal of Pharmacology and Experimental Therapeutics. 379(2). 117–124. 3 indexed citations
4.
Nakamura, S., et al.. (2020). Building Change Detection Using Modified Siamese Neural Networks. 672–675. 3 indexed citations
5.
Nakamura, S., Shintaro Ono, & Hiroshi Kawasaki. (2019). Deep Learning Technique for Detecting Flooded Road Scenes from Driving Video Recorder. 71(2). 75–80. 1 indexed citations
6.
Armstrong, Andrew, et al.. (2012). Assessment of deep level defects in m-plane GaN grown by metalorganic chemical vapor deposition. Applied Physics Letters. 100(8). 15 indexed citations
7.
Nakamura, S., et al.. (2011). Visual servoing of patient robot's face and eye-looking direction to moving human. Society of Instrument and Control Engineers of Japan. 1314–1319. 2 indexed citations
8.
Murata, Isao, T. Mukai, S. Nakamura, Hiroyuki Miyamaru, & Itaru Kato. (2011). Development of a thick CdTe detector for BNCT–SPECT. Applied Radiation and Isotopes. 69(12). 1706–1709. 17 indexed citations
9.
Nakamura, S.. (2006). MEMS Inertial Sensor Toward Higher Accuracy & amp; Multi-Axis Sensing. 939–942. 27 indexed citations
10.
Funatsu, Hideharu, et al.. (2006). Vitreous Levels of Pigment Epithelium–Derived Factor and Vascular Endothelial Growth Factor Are Related to Diabetic Macular Edema. Ophthalmology. 113(2). 294–301. 141 indexed citations
11.
Toda, Risaku, et al.. (2003). Electrostatically levitated spherical 3-axis accelerometer. 710–713. 46 indexed citations
12.
Piprek, Joachim & S. Nakamura. (2002). Self-consistent simulation and analysis of InGaN/GaN lasers. 2. 651–652. 1 indexed citations
13.
Hayashi, Katsuhiko, S. Nakamura, Ryuichi Morishita, et al.. (2000). In vivo transfer of human hepatocyte growth factor gene accelerates re-endothelialization and inhibits neointimal formation after balloon injury in rat model. Gene Therapy. 7(19). 1664–1671. 69 indexed citations
14.
Nakamura, S.. (1999). Present Status of InGaN-Based Laser Diodes. physica status solidi (a). 176(1). 15–22. 24 indexed citations
15.
Chichibu, Shigefusa F., Tsukasa Mizutani, T. Shioda, et al.. (1997). Urbach–Martienssen tails in a wurtzite GaN epilayer. Applied Physics Letters. 70(25). 3440–3442. 57 indexed citations
16.
Mizukami, Yusuke, A Nonomura, T Taniya, et al.. (1992). Effects of high and low dietary fat and indomethacin on tumour growth, hormone receptor status and growth factor expression in DMBA-induced rat breast cancer.. PubMed. 14(6). 269–76. 4 indexed citations
17.
Nakamura, S., et al.. (1992). INTRAOPERATIVE BLOOD RECOVERY IN TRANSURETHRAL RESECTION OF PROSTATE (TURP). The Japanese Journal of Urology. 83(8). 1276–1283. 3 indexed citations
18.
Mizukami, Yusuke, A Nonomura, Tohru Yamada, et al.. (1990). Immunohistochemical demonstration of growth factors, TGF-alpha, TGF-beta, IGF-I and neu oncogene product in benign and malignant human breast tissues.. PubMed. 10(5A). 1115–26. 58 indexed citations
19.
Nakamura, S., et al.. (1987). TRANSURETHRAL PROSTATIC RESECTION WITH SUPRAPUBIC TROCAR TECHNIQUE. The Japanese Journal of Urology. 78(11). 1958–1964. 1 indexed citations
20.
Nakamura, S., et al.. (1974). XANTHOGRANULOMATOUS PYELONEPHRITIS. The Japanese Journal of Urology. 65(6). 383–392. 1 indexed citations

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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