Naomi Ito

96 total papers · 1.1k total citations
49 papers, 759 citations indexed

About

Naomi Ito is a scholar working on Sociology and Political Science, Surgery and Global and Planetary Change. According to data from OpenAlex, Naomi Ito has authored 49 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Sociology and Political Science, 10 papers in Surgery and 10 papers in Global and Planetary Change. Recurrent topics in Naomi Ito's work include Radioactive contamination and transfer (10 papers), Risk Perception and Management (8 papers) and Pain Mechanisms and Treatments (5 papers). Naomi Ito is often cited by papers focused on Radioactive contamination and transfer (10 papers), Risk Perception and Management (8 papers) and Pain Mechanisms and Treatments (5 papers). Naomi Ito collaborates with scholars based in Japan, United States and Taiwan. Naomi Ito's co-authors include Keiko Kazuma, Akiko Hagiwara, Shigeru Saito, Hideaki Obata, Naoko Kato, Koichiro Kinugawa, Zai Liang, Fumio Goto, Masaharu Tsubokura and Makoto Tanaka and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and Scientific Reports.

In The Last Decade

Naomi Ito

42 papers receiving 736 citations

Author Peers

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

Author Last Decade Papers Cites
Naomi Ito 224 142 122 89 77 49 759
Hafiz Khan 108 0.5× 149 1.0× 89 0.7× 27 0.3× 128 1.7× 69 888
Jolanta Lewko 160 0.7× 122 0.9× 109 0.9× 31 0.3× 18 0.2× 79 853
Christopher Smith 98 0.4× 100 0.7× 239 2.0× 47 0.5× 31 0.4× 49 833
Chana A. Sacks 70 0.3× 118 0.8× 39 0.3× 114 1.3× 30 0.4× 70 743
Li Fang 98 0.4× 47 0.3× 141 1.2× 27 0.3× 107 1.4× 52 696
Natalie Strand 175 0.8× 23 0.2× 188 1.5× 51 0.6× 36 0.5× 62 855
Rongrong Yang 125 0.6× 136 1.0× 71 0.6× 28 0.3× 39 0.5× 63 749
So Youn Park 44 0.2× 52 0.4× 94 0.8× 43 0.5× 39 0.5× 54 653
Bartosz Szmyd 273 1.2× 41 0.3× 43 0.4× 194 2.2× 20 0.3× 53 806
Sara Conti 138 0.6× 39 0.3× 45 0.4× 37 0.4× 49 0.6× 58 783

Countries citing papers authored by Naomi Ito

Since Specialization
Citations

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

Fields of papers citing papers by Naomi Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naomi Ito

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