Takayoshi Ueda

47 total papers · 449 total citations
35 papers, 384 citations indexed

About

Takayoshi Ueda is a scholar working on Genetics, Aquatic Science and Plant Science. According to data from OpenAlex, Takayoshi Ueda has authored 35 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 18 papers in Aquatic Science and 11 papers in Plant Science. Recurrent topics in Takayoshi Ueda's work include Fish Biology and Ecology Studies (12 papers), Animal Genetics and Reproduction (10 papers) and Fish Ecology and Management Studies (9 papers). Takayoshi Ueda is often cited by papers focused on Fish Biology and Ecology Studies (12 papers), Animal Genetics and Reproduction (10 papers) and Fish Ecology and Management Studies (9 papers). Takayoshi Ueda collaborates with scholars based in Japan, United States and South Korea. Takayoshi Ueda's co-authors include Yoshio Ojima, Ryoichi Arai, Kouichi Kawamura, Carl Smith, Sang-Rin Jeon, Kenji Saitoh, Yoshikazu Nagata, Anna Rita Rossi, Hsiao‐Wei Kao and Wen‐Wen Lin and has published in prestigious journals such as Journal of Fish Biology, Proceedings of the Japan Academy Series B and ZOOLOGICAL SCIENCE.

In The Last Decade

Takayoshi Ueda

34 papers receiving 348 citations

Author Peers

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

Author						Papers	Cites
Takayoshi Ueda	259	147	123	106	105	35	384
Miloš Havelka	209 0.8×	165 1.1×	85 0.7×	85 0.8×	103 1.0×	25	348
Nelson Colihueque	155 0.6×	123 0.8×	98 0.8×	79 0.7×	172 1.6×	38	444
Paweł Woźnicki	216 0.8×	95 0.6×	164 1.3×	113 1.1×	101 1.0×	37	421
He Zhou	154 0.6×	62 0.4×	74 0.6×	133 1.3×	86 0.8×	36	391
Dorota Juchno	172 0.7×	133 0.9×	90 0.7×	35 0.3×	148 1.4×	33	363
Linghua Zhou	127 0.5×	49 0.3×	93 0.8×	83 0.8×	119 1.1×	25	344
Kadoo Miyaki	275 1.1×	86 0.6×	42 0.3×	81 0.8×	140 1.3×	17	429
Francisca Robles	144 0.6×	85 0.6×	150 1.2×	142 1.3×	69 0.7×	27	345
V. A. Brykov	246 0.9×	141 1.0×	23 0.2×	125 1.2×	97 0.9×	36	358
Zuzana Majtánová	231 0.9×	71 0.5×	225 1.8×	142 1.3×	74 0.7×	21	362

Countries citing papers authored by Takayoshi Ueda

Since Specialization

Citations

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

Fields of papers citing papers by Takayoshi Ueda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takayoshi Ueda

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