Yukio Noda

364 total papers · 6.7k total citations
248 papers, 5.5k citations indexed

About

Yukio Noda is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Condensed Matter Physics. According to data from OpenAlex, Yukio Noda has authored 248 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 146 papers in Materials Chemistry, 128 papers in Electronic, Optical and Magnetic Materials and 80 papers in Condensed Matter Physics. Recurrent topics in Yukio Noda's work include Multiferroics and related materials (55 papers), Advanced Condensed Matter Physics (50 papers) and Solid-state spectroscopy and crystallography (50 papers). Yukio Noda is often cited by papers focused on Multiferroics and related materials (55 papers), Advanced Condensed Matter Physics (50 papers) and Solid-state spectroscopy and crystallography (50 papers). Yukio Noda collaborates with scholars based in Japan, South Korea and United States. Yukio Noda's co-authors include Hiroyuki Kimura, Yasusada Yamada, Mamoru Fukunaga, Masashi Watanabe, Y. Yamada, Masahiro Mori, Kay Kohn, L.E. Tanner, Satoru Kobayashi and G. Shirane and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Yukio Noda

234 papers receiving 5.4k citations

Author Peers

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

Author Last Decade Papers Cites
Yukio Noda 3.3k 3.3k 1.8k 788 734 248 5.5k
E. Gmelin 2.7k 0.8× 1.5k 0.5× 1.5k 0.9× 698 0.9× 698 1.0× 179 4.8k
K. Knorr 3.4k 1.0× 1.5k 0.5× 1.6k 0.9× 614 0.8× 1.2k 1.6× 220 5.3k
Yu. Grin 2.7k 0.8× 2.0k 0.6× 1.9k 1.1× 379 0.5× 836 1.1× 190 4.7k
W. B. Yelon 2.6k 0.8× 4.9k 1.5× 4.0k 2.3× 518 0.7× 2.1k 2.9× 318 7.4k
Tooru Ataké 2.7k 0.8× 1.7k 0.5× 1.0k 0.6× 589 0.7× 367 0.5× 237 4.4k
Jens Kortus 4.1k 1.2× 3.9k 1.2× 4.2k 2.4× 1.0k 1.3× 1.0k 1.4× 180 7.9k
S. D. Mahanti 4.7k 1.4× 2.5k 0.8× 1.6k 0.9× 1.9k 2.4× 1.8k 2.4× 271 7.0k
G. Heger 2.4k 0.7× 1.7k 0.5× 1.4k 0.8× 415 0.5× 582 0.8× 168 4.2k
K. Siemensmeyer 1.3k 0.4× 2.2k 0.7× 1.0k 0.6× 865 1.1× 590 0.8× 132 3.9k
M. Gutmann 2.3k 0.7× 1.8k 0.5× 1.4k 0.8× 650 0.8× 431 0.6× 184 4.2k

Countries citing papers authored by Yukio Noda

Since Specialization
Citations

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

Fields of papers citing papers by Yukio Noda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yukio Noda

This figure shows the co-authorship network connecting the top 25 collaborators of Yukio Noda. A scholar is included among the top collaborators of Yukio Noda 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 Yukio Noda. Yukio Noda 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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2026