J. Wada

10 total papers · 1.0k total citations
8 papers, 761 citations indexed

About

J. Wada is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, J. Wada has authored 8 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Condensed Matter Physics, 5 papers in Electronic, Optical and Magnetic Materials and 1 paper in Atomic and Molecular Physics, and Optics. Recurrent topics in J. Wada's work include Physics of Superconductivity and Magnetism (8 papers), Advanced Condensed Matter Physics (7 papers) and Magnetic and transport properties of perovskites and related materials (5 papers). J. Wada is often cited by papers focused on Physics of Superconductivity and Magnetism (8 papers), Advanced Condensed Matter Physics (7 papers) and Magnetic and transport properties of perovskites and related materials (5 papers). J. Wada collaborates with scholars based in Japan, United States and Germany. J. Wada's co-authors include Y. Endoh, K. Yamada, S. Hosoya, Shuichi Wakimoto, G. Shirane, R. J. Birgeneau, K. Kurahashi, Hiroyuki Kimura, M. A. Kastner and Chul‐Ho Lee and has published in prestigious journals such as Physical review. B, Condensed matter, Journal of the Physical Society of Japan and Physica B Condensed Matter.

In The Last Decade

J. Wada

8 papers receiving 753 citations

Hit Papers

Doping dependence of the ... 1998 2026 2007 2016 1998 200 400 600

Author Peers

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

Author Last Decade Papers Cites
J. Wada 748 525 112 58 34 8 761
D. Vignolles 653 0.9× 457 0.9× 190 1.7× 40 0.7× 39 1.1× 9 730
T. Uefuji 599 0.8× 427 0.8× 96 0.9× 28 0.5× 30 0.9× 21 621
Kamalesh Chatterjee 639 0.9× 418 0.8× 183 1.6× 51 0.9× 62 1.8× 10 693
H. Woo 603 0.8× 440 0.8× 142 1.3× 38 0.7× 84 2.5× 7 682
T. Niemöller 622 0.8× 463 0.9× 87 0.8× 28 0.5× 86 2.5× 13 683
C. Taylor 814 1.1× 498 0.9× 247 2.2× 58 1.0× 74 2.2× 8 872
A. J. J. van Dalen 644 0.9× 349 0.7× 166 1.5× 113 1.9× 31 0.9× 15 663
W. D. Wise 639 0.9× 422 0.8× 200 1.8× 56 1.0× 64 1.9× 11 729
Asao Minami 687 0.9× 434 0.8× 211 1.9× 60 1.0× 78 2.3× 13 714
R. Fehrenbacher 874 1.2× 467 0.9× 289 2.6× 53 0.9× 34 1.0× 12 893

Countries citing papers authored by J. Wada

Since Specialization
Citations

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

Fields of papers citing papers by J. Wada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Wada

This figure shows the co-authorship network connecting the top 25 collaborators of J. Wada. A scholar is included among the top collaborators of J. Wada 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 J. Wada. J. Wada 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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