Tatsuya Ota

63 total papers · 4.0k total citations
38 papers, 1.9k citations indexed

About

Tatsuya Ota is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Tatsuya Ota has authored 38 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 19 papers in Immunology and 9 papers in Genetics. Recurrent topics in Tatsuya Ota's work include Aquaculture disease management and microbiota (10 papers), Invertebrate Immune Response Mechanisms (8 papers) and Glycosylation and Glycoproteins Research (7 papers). Tatsuya Ota is often cited by papers focused on Aquaculture disease management and microbiota (10 papers), Invertebrate Immune Response Mechanisms (8 papers) and Glycosylation and Glycoproteins Research (7 papers). Tatsuya Ota collaborates with scholars based in United States, Japan and Spain. Tatsuya Ota's co-authors include M Nei, A. Hughes, Young Ho Lee, V D Vacquier, Gary W. Litman, Makoto Kimura, Chris T. Amemiya, Masatoshi Nei, Jonathan P. Rast and Kenichi Oishi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

In The Last Decade

Tatsuya Ota

38 papers receiving 1.9k citations

Author Peers

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

Author Last Decade Papers Cites
Tatsuya Ota 798 790 467 244 144 38 1.9k
Craig R. Brunetti 556 0.7× 738 0.9× 678 1.5× 213 0.9× 206 1.4× 45 2.2k
Marcia M. Miller 758 0.9× 1.2k 1.6× 456 1.0× 225 0.9× 134 0.9× 74 2.7k
Kei‐ichi Kuma 1.2k 1.5× 359 0.5× 353 0.8× 326 1.3× 122 0.8× 44 2.2k
J F Maddox 474 0.6× 543 0.7× 1.2k 2.7× 194 0.8× 85 0.6× 63 2.2k
Martin Blythe 1.3k 1.7× 302 0.4× 269 0.6× 332 1.4× 99 0.7× 42 1.9k
Kurt Wollenberg 782 1.0× 185 0.2× 415 0.9× 188 0.8× 132 0.9× 49 1.9k
Katherine R. Spindler 1.3k 1.6× 402 0.5× 1.3k 2.7× 387 1.6× 119 0.8× 65 3.0k
Bent Petersen 1.4k 1.7× 268 0.3× 435 0.9× 259 1.1× 82 0.6× 47 2.3k
James W. Gautsch 1.4k 1.7× 436 0.6× 771 1.7× 232 1.0× 58 0.4× 23 2.5k
Kenji Ohba 693 0.9× 357 0.5× 399 0.9× 381 1.6× 251 1.7× 54 1.7k

Countries citing papers authored by Tatsuya Ota

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuya Ota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuya Ota

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