Maki Ito

11 total papers · 844 total citations
10 papers, 645 citations indexed

About

Maki Ito is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Molecular Biology. According to data from OpenAlex, Maki Ito has authored 10 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pollution, 5 papers in Health, Toxicology and Mutagenesis and 4 papers in Molecular Biology. Recurrent topics in Maki Ito's work include Toxic Organic Pollutants Impact (5 papers), Microplastics and Plastic Pollution (5 papers) and Effects and risks of endocrine disrupting chemicals (3 papers). Maki Ito is often cited by papers focused on Toxic Organic Pollutants Impact (5 papers), Microplastics and Plastic Pollution (5 papers) and Effects and risks of endocrine disrupting chemicals (3 papers). Maki Ito collaborates with scholars based in Japan, United Kingdom and Indonesia. Maki Ito's co-authors include Hideshige Takada, Mahua Saha, Rei Yamashita, Kazuya Motomura, Fumiharu Ohka, Atsushi Natsume, Toshihiko Wakabayashi, Heidi Taylor, Charita S. Kwan and Kaoruko Mizukawa and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Maki Ito

10 papers receiving 634 citations

Author Peers

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

Author						Papers	Cites
Maki Ito	354	214	206	141	93	10	645
Hélène Duval	155 0.4×	25 0.1×	115 0.6×	204 1.4×	39 0.4×	17	785
Guanqun Cui	144 0.4×	113 0.5×	45 0.2×	139 1.0×	53 0.6×	17	579
Ken-ichi Ohyama	136 0.4×	308 1.4×	18 0.1×	60 0.4×	83 0.9×	16	676
Jinhua Sun	67 0.2×	55 0.3×	29 0.1×	265 1.9×	43 0.5×	22	724
Yingying Wang	221 0.6×	77 0.4×	16 0.1×	133 0.9×	11 0.1×	12	560
Trang Huynh	224 0.6×	103 0.5×	22 0.1×	189 1.3×	74 0.8×	27	721
Jillian A. Parker	167 0.5×	82 0.4×	95 0.5×	371 2.6×	4 0.0×	22	634
Cameron Smith	97 0.3×	86 0.4×	56 0.3×	317 2.2×	15 0.2×	16	771
Kathryn J.P. Davies	178 0.5×	35 0.2×	31 0.2×	159 1.1×	24 0.3×	8	605
Meng Wang	322 0.9×	167 0.8×	141 0.7×	61 0.4×	5 0.1×	19	591

Countries citing papers authored by Maki Ito

Since Specialization

Citations

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

Fields of papers citing papers by Maki Ito

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maki Ito

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