Takao Nishimura

97 total papers · 791 total citations
56 papers, 560 citations indexed

About

Takao Nishimura is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Takao Nishimura has authored 56 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Surgery and 10 papers in Oncology. Recurrent topics in Takao Nishimura's work include Cancer Cells and Metastasis (4 papers), Blood transfusion and management (4 papers) and Biopolymer Synthesis and Applications (4 papers). Takao Nishimura is often cited by papers focused on Cancer Cells and Metastasis (4 papers), Blood transfusion and management (4 papers) and Biopolymer Synthesis and Applications (4 papers). Takao Nishimura collaborates with scholars based in Japan, United States and China. Takao Nishimura's co-authors include Mizuo Maeda, Teiji Tsuruta, Tatsuichi Iwamura, Kazunori Kataoka, Shohei Inoue, Yasuhisa Sakurai, Kazumi Hattori, Kazuhiko Aoyagi, Teruo Okano and Yuzo FUTSUHARA and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biomaterials.

In The Last Decade

Takao Nishimura

45 papers receiving 535 citations

Author Peers

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

Author Last Decade Papers Cites
Takao Nishimura 203 106 98 54 47 56 560
Chun‐Chieh Huang 99 0.5× 79 0.7× 152 1.6× 44 0.8× 24 0.5× 56 623
Chia-Cheng Lin 116 0.6× 104 1.0× 67 0.7× 57 1.1× 34 0.7× 34 645
Zhang Bao-gui 264 1.3× 74 0.7× 40 0.4× 40 0.7× 25 0.5× 33 653
Dafan Chen 103 0.5× 111 1.0× 42 0.4× 18 0.3× 47 1.0× 29 555
Ji Won Hwang 208 1.0× 81 0.8× 46 0.5× 61 1.1× 86 1.8× 39 691
Feng Miao 154 0.8× 161 1.5× 182 1.9× 31 0.6× 22 0.5× 46 697
Jin Zhang 149 0.7× 65 0.6× 69 0.7× 16 0.3× 27 0.6× 38 568
Zhen Huang 85 0.4× 116 1.1× 37 0.4× 47 0.9× 15 0.3× 74 685
Yuji Chen 91 0.4× 84 0.8× 62 0.6× 42 0.8× 15 0.3× 34 515
Zewen Chen 164 0.8× 66 0.6× 37 0.4× 58 1.1× 47 1.0× 51 684

Countries citing papers authored by Takao Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Takao Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takao Nishimura

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