Satoshi Kawata

11.7k total citations · 3 hit papers
328 papers, 9.9k citations indexed

About

Satoshi Kawata is a scholar working on Electronic, Optical and Magnetic Materials, Inorganic Chemistry and Materials Chemistry. According to data from OpenAlex, Satoshi Kawata has authored 328 papers receiving a total of 9.9k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Electronic, Optical and Magnetic Materials, 108 papers in Inorganic Chemistry and 107 papers in Materials Chemistry. Recurrent topics in Satoshi Kawata's work include Magnetism in coordination complexes (91 papers), Metal-Organic Frameworks: Synthesis and Applications (68 papers) and Metal complexes synthesis and properties (52 papers). Satoshi Kawata is often cited by papers focused on Magnetism in coordination complexes (91 papers), Metal-Organic Frameworks: Synthesis and Applications (68 papers) and Metal complexes synthesis and properties (52 papers). Satoshi Kawata collaborates with scholars based in Japan, United States and Morocco. Satoshi Kawata's co-authors include Yoshimasa Kawata, Susumu Kitagawa, Shigeo Minami, Koji Matsubara, Motomi Katada, Hitoshi Kumagai, S. Minami, Sumio Kaizaki, K. Yoneda and Mitsuru Kondo and has published in prestigious journals such as Nature, Chemical Reviews and Journal of the American Chemical Society.

In The Last Decade

Satoshi Kawata

313 papers receiving 9.6k citations

Hit Papers

Three-Dimensional Optical... 2000 2026 2008 2017 2000 2016 2002 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Satoshi Kawata Japan 52 3.6k 3.1k 2.5k 1.8k 1.6k 328 9.9k
Katsuya Inoue Japan 56 5.3k 1.5× 7.7k 2.5× 3.6k 1.5× 1.2k 0.7× 1.5k 1.0× 552 13.4k
Werner Kaminsky United States 60 3.3k 0.9× 1.8k 0.6× 3.7k 1.5× 1.9k 1.1× 5.2k 3.3× 448 14.1k
Anthony K. Rappé United States 38 7.4k 2.0× 1.3k 0.4× 4.6k 1.9× 1.8k 1.0× 3.7k 2.4× 101 17.2k
W. Ewen Smith United Kingdom 51 2.3k 0.6× 4.1k 1.3× 652 0.3× 2.8k 1.6× 822 0.5× 309 9.8k
C. J. Casewit United States 14 4.8k 1.3× 659 0.2× 3.2k 1.3× 1.2k 0.7× 2.0k 1.3× 22 10.4k
Shigeki Mori Japan 56 4.7k 1.3× 563 0.2× 1.0k 0.4× 1.0k 0.6× 3.4k 2.2× 458 11.3k
Hiroshi Satō Japan 49 3.7k 1.0× 961 0.3× 3.6k 1.5× 894 0.5× 1.4k 0.9× 356 9.3k
Michael Schmitt Germany 57 2.4k 0.7× 1.8k 0.6× 424 0.2× 2.4k 1.4× 1.2k 0.7× 345 12.2k
J. N. Demas United States 54 7.8k 2.2× 1.2k 0.4× 683 0.3× 1.7k 1.0× 2.8k 1.8× 194 14.4k
William L. Wilson United States 43 3.8k 1.1× 1.0k 0.3× 750 0.3× 2.1k 1.2× 1.0k 0.6× 306 8.9k

Countries citing papers authored by Satoshi Kawata

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Kawata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Kawata

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Kawata. A scholar is included among the top collaborators of Satoshi Kawata 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 Satoshi Kawata. Satoshi Kawata 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.
Akhbari, Kamran, et al.. (2025). Cu@MUT‐17 Nanocomposite as a Plasmonic Photocatalyst for Degradation of Acid Red 14 Under Visible Light. Applied Organometallic Chemistry. 39(8).
2.
Akhbari, Kamran, et al.. (2024). rGO/MUT-15 nanocomposite as a Fenton-like photocatalyst for the degradation of Acid Yellow 73 under visible light. Dalton Transactions. 53(45). 18268–18282. 4 indexed citations
3.
Akhbari, Kamran, et al.. (2024). Ag@MUT-16 nanocomposite as a Fenton-like and plasmonic photocatalyst for degradation of Quinoline Yellow under visible light. Dalton Transactions. 53(26). 11094–11111. 5 indexed citations
5.
Obata, Yoshinari, Satoshi Kawata, Kosuke Mukai, et al.. (2024). Immune checkpoint inhibitor-related type 1 diabetes mellitus which develops long after treatment discontinuation: a case report and review of literature. Diabetology International. 15(3). 605–610.
7.
Parsaei, Mozhgan, Kamran Akhbari, & Satoshi Kawata. (2023). Computational Simulation of CO2/CH4 Separation on a Three-Dimensional Cd-Based Metal–Organic Framework. Crystal Growth & Design. 23(8). 5705–5718. 14 indexed citations
8.
Ma, Nattapol, Ryo Ohtani, Hung M. Le, et al.. (2022). Exploration of glassy state in Prussian blue analogues. Nature Communications. 13(1). 4023–4023. 52 indexed citations
9.
Iguchi, Hiroaki, Shinya Takaishi, Brian K. Breedlove, et al.. (2022). Orthogonal Grade-Separated Nanowiring of Molecular Single Chains. Chemistry of Materials. 35(1). 116–122. 3 indexed citations
10.
Parsaei, Mozhgan, Kamran Akhbari, Emmanuel Tylianakis, et al.. (2022). Computational Study of Two Three-Dimensional Co(II)-Based Metal–Organic Frameworks as Quercetin Anticancer Drug Carriers. Crystal Growth & Design. 22(12). 7221–7233. 16 indexed citations
11.
Ishikawa, Ryuta, Yoji Horii, Hiroaki Iguchi, et al.. (2019). Simultaneous Spin‐Crossover Transition and Conductivity Switching in a Dinuclear Iron(II) Coordination Compound Based on 7,7′,8,8′‐Tetracyano‐p‐quinodimethane. Chemistry - A European Journal. 26(6). 1278–1285. 13 indexed citations
13.
Ishikawa, Ryuta, Yoji Horii, Hiroaki Iguchi, et al.. (2019). Simultaneous Spin‐Crossover Transition and Conductivity Switching in a Dinuclear Iron(II) Coordination Compound Based on 7,7′,8,8′‐Tetracyano‐p‐quinodimethane. Chemistry - A European Journal. 26(6). 1165–1165. 3 indexed citations
14.
Liu, Hsiang‐Lin, Teng Yang, Yuki Tatsumi, et al.. (2018). Deep-ultraviolet Raman scattering spectroscopy of monolayer WS2. Scientific Reports. 8(1). 11398–11398. 27 indexed citations
15.
Okamura, Masaya, Mio Kondo, Reiko Kuga, et al.. (2016). A pentanuclear iron catalyst designed for water oxidation. Nature. 530(7591). 465–468. 454 indexed citations breakdown →
16.
Nishise, Shoichi, Seiichiro Kobayashi, Katsumi Otani, et al.. (2010). Mass infection withEntamoebahistolyticain a Japanese institution for individuals with mental retardation: epidemiology and control measures. Annals of Tropical Medicine and Parasitology. 104(5). 383–390. 11 indexed citations
17.
Kawata, Satoshi, et al.. (2007). Nano biophotonics : science and technology : proceedings of the 3rd International Nanohotonics Symposium Handai,July 6-8th 2006,Suita Campus of Osaka University, Osaka, Japan. Elsevier eBooks. 1 indexed citations
18.
Yamashita, Keitaro, et al.. (2007). a-Si Gate Driver designs for low power AMLCD operation. Journal of Information Processing. 2(1). 1–5. 6 indexed citations
19.
Kawata, Satoshi & T. Nakajima. (2003). A consideration about ionizer balance in HGA process. Electrical Overstress/Electrostatic Discharge Symposium. 1–5.
20.
Nakamura, Osamu, Satoshi Kawata, & Shigeo Minami. (1986). Superresolving deconvolution by Nonnegative Least Squares Method.. Journal of the Spectroscopical Society of Japan. 35(3). 218–224. 2 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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