Toru Nakata

57 total papers · 1.7k total citations
26 papers, 760 citations indexed

About

Toru Nakata is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Toru Nakata has authored 26 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Genetics and 6 papers in Oncology. Recurrent topics in Toru Nakata's work include Cancer Cells and Metastasis (5 papers), Digestive system and related health (4 papers) and Probiotics and Fermented Foods (4 papers). Toru Nakata is often cited by papers focused on Cancer Cells and Metastasis (5 papers), Digestive system and related health (4 papers) and Probiotics and Fermented Foods (4 papers). Toru Nakata collaborates with scholars based in Japan, United States and Germany. Toru Nakata's co-authors include Takashi Kuda, Hajime Takahashi, Bon Kimura, Ramnik J. Xavier, Tetsuya Nakamura, Mamoru Watanabe, Kiichiro Tsuchiya, Ryuichi Okamoto, Satoru Fujii and Junmei Yao and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Toru Nakata

25 papers receiving 749 citations

Author Peers

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

Author Last Decade Papers Cites
Toru Nakata 354 145 132 118 115 26 760
Lian Lu 402 1.1× 82 0.6× 85 0.6× 112 0.9× 59 0.5× 25 748
Jia Zhou 314 0.9× 81 0.6× 86 0.7× 185 1.6× 67 0.6× 59 908
Shoichi Kado 464 1.3× 166 1.1× 240 1.8× 111 0.9× 90 0.8× 25 879
Theodor Kudlich 204 0.6× 143 1.0× 139 1.1× 145 1.2× 49 0.4× 22 797
Munetaka Ozeki 472 1.3× 80 0.6× 74 0.6× 85 0.7× 49 0.4× 39 894
Yunju Jeong 432 1.2× 61 0.4× 85 0.6× 97 0.8× 92 0.8× 32 756
Xiaoya Ma 336 0.9× 99 0.7× 122 0.9× 110 0.9× 31 0.3× 26 788
Frank Boxberger 351 1.0× 138 1.0× 174 1.3× 77 0.7× 70 0.6× 35 780
Warren I. Schaeffer 336 0.9× 103 0.7× 125 0.9× 58 0.5× 32 0.3× 37 837
Dianbo Yao 454 1.3× 143 1.0× 278 2.1× 116 1.0× 34 0.3× 20 876

Countries citing papers authored by Toru Nakata

Since Specialization
Citations

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

Fields of papers citing papers by Toru Nakata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toru Nakata

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