Tadamasa Ueda

34 total papers · 882 total citations
25 papers, 626 citations indexed

About

Tadamasa Ueda is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Tadamasa Ueda has authored 25 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 12 papers in Genetics and 10 papers in Molecular Biology. Recurrent topics in Tadamasa Ueda's work include Rice Cultivation and Yield Improvement (12 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers) and GABA and Rice Research (6 papers). Tadamasa Ueda is often cited by papers focused on Rice Cultivation and Yield Improvement (12 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers) and GABA and Rice Research (6 papers). Tadamasa Ueda collaborates with scholars based in Japan, United States and Philippines. Tadamasa Ueda's co-authors include Toshio Yamamoto, Taiichiro Ookawa, Shunsuke Adachi, Tadashi Hirasawa, Chiharu Nakamura, Junji Hashimoto, Seisuke Kimura, Kengo Sakaguchi, Tsuyu Ando and Takashi Motobayashi and has published in prestigious journals such as PLoS ONE, Scientific Reports and Genetics.

In The Last Decade

Tadamasa Ueda

25 papers receiving 621 citations

Author Peers

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

Author Last Decade Papers Cites
Tadamasa Ueda 522 248 181 120 24 25 626
Bo Zhou 539 1.0× 246 1.0× 204 1.1× 58 0.5× 26 1.1× 29 719
Satyvaldy Jatayev 565 1.1× 216 0.9× 80 0.4× 138 1.1× 52 2.2× 24 673
Yun Fan 640 1.2× 236 1.0× 106 0.6× 51 0.4× 30 1.3× 18 730
Andrey Korolev 615 1.2× 350 1.4× 140 0.8× 90 0.8× 15 0.6× 14 709
Timothy J. March 626 1.2× 147 0.6× 252 1.4× 116 1.0× 22 0.9× 26 692
Keisuke Nemoto 690 1.3× 297 1.2× 152 0.8× 55 0.5× 67 2.8× 35 768
H. M. Mamrutha 604 1.2× 152 0.6× 109 0.6× 146 1.2× 36 1.5× 40 676
Lei Yuan 433 0.8× 225 0.9× 52 0.3× 80 0.7× 20 0.8× 21 645
N. Christov 528 1.0× 237 1.0× 107 0.6× 61 0.5× 26 1.1× 44 613
Kirin Demuynck 666 1.3× 427 1.7× 89 0.5× 45 0.4× 24 1.0× 17 789

Countries citing papers authored by Tadamasa Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Tadamasa Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadamasa Ueda

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