Seiji Sawada

148 total papers · 2.0k total citations
100 papers, 1.6k citations indexed

About

Seiji Sawada is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Seiji Sawada has authored 100 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Electrical and Electronic Engineering, 31 papers in Molecular Biology and 25 papers in Organic Chemistry. Recurrent topics in Seiji Sawada's work include Semiconductor materials and devices (27 papers), Advancements in Semiconductor Devices and Circuit Design (24 papers) and Silicon Carbide Semiconductor Technologies (11 papers). Seiji Sawada is often cited by papers focused on Semiconductor materials and devices (27 papers), Advancements in Semiconductor Devices and Circuit Design (24 papers) and Silicon Carbide Semiconductor Technologies (11 papers). Seiji Sawada collaborates with scholars based in Japan, United States and Spain. Seiji Sawada's co-authors include T. Hamamoto, Richard K. Hill, Takashi Kitayama, Tadashi Okamoto, Yukio Yamamoto, Sho Takahashi, Yasushi Kawai, Kenji Soda, Tomohisa Mizuno and Yuzo Inouye and has published in prestigious journals such as Journal of the American Chemical Society, Biochemistry and Analytical Biochemistry.

In The Last Decade

Seiji Sawada

94 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Seiji Sawada 529 413 407 267 149 100 1.6k
Ivanov As 940 1.8× 172 0.4× 144 0.4× 209 0.8× 67 0.4× 182 1.8k
Takuya Kumamoto 626 1.2× 1.3k 3.1× 135 0.3× 136 0.5× 79 0.5× 119 2.2k
Robert L. Baxter 1.0k 1.9× 260 0.6× 124 0.3× 137 0.5× 134 0.9× 88 1.8k
Gerard M. Schmid 652 1.2× 755 1.8× 716 1.8× 54 0.2× 53 0.4× 79 2.3k
Dongyang Li 934 1.8× 75 0.2× 225 0.6× 27 0.1× 112 0.8× 74 1.7k
F. Durant 520 1.0× 746 1.8× 99 0.2× 88 0.3× 67 0.4× 148 1.7k
Vishwakarma Singh 447 0.8× 1.7k 4.0× 76 0.2× 119 0.4× 176 1.2× 134 2.1k
Chandan Singh 691 1.3× 825 2.0× 309 0.8× 91 0.3× 102 0.7× 106 2.2k
Ly Le 760 1.4× 133 0.3× 99 0.2× 160 0.6× 28 0.2× 91 1.8k
Takahiro Suzuki 379 0.7× 1.3k 3.1× 228 0.6× 148 0.6× 74 0.5× 133 2.0k

Countries citing papers authored by Seiji Sawada

Since Specialization
Citations

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

Fields of papers citing papers by Seiji Sawada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seiji Sawada

This figure shows the co-authorship network connecting the top 25 collaborators of Seiji Sawada. A scholar is included among the top collaborators of Seiji Sawada 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 Seiji Sawada. Seiji Sawada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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