Takeya Inaba

15 total papers · 496 total citations
11 papers, 400 citations indexed

About

Takeya Inaba is a scholar working on Health, Toxicology and Mutagenesis, Organic Chemistry and Pollution. According to data from OpenAlex, Takeya Inaba has authored 11 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Health, Toxicology and Mutagenesis, 3 papers in Organic Chemistry and 3 papers in Pollution. Recurrent topics in Takeya Inaba's work include Heavy Metal Exposure and Toxicity (7 papers), Trace Elements in Health (3 papers) and Heavy metals in environment (3 papers). Takeya Inaba is often cited by papers focused on Heavy Metal Exposure and Toxicity (7 papers), Trace Elements in Health (3 papers) and Heavy metals in environment (3 papers). Takeya Inaba collaborates with scholars based in Japan and United States. Takeya Inaba's co-authors include Mirei Uetani, Yasushi Suwazono, Kōji Nogawa, Mitsuhiro Oishi, Etsuko Kobayashi, Hideaki Nakagawa, Teruhiko Kido, Muneko Nishijo, Etsuko Kobayashi and Etsuko Kobayashi and has published in prestigious journals such as Environmental Research, Toxicology Letters and Biological Trace Element Research.

In The Last Decade

Takeya Inaba

10 papers receiving 381 citations

Author Peers

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

Author Last Decade Papers Cites
Takeya Inaba 254 193 85 39 33 11 400
Pisit Limpatanachote 309 1.2× 196 1.0× 110 1.3× 31 0.8× 17 0.5× 11 383
Terutaka Katoh 302 1.2× 135 0.7× 149 1.8× 68 1.7× 9 0.3× 18 425
Annette Engström 355 1.4× 159 0.8× 134 1.6× 25 0.6× 11 0.3× 7 420
J. C. Quintana-Pérez 142 0.6× 69 0.4× 40 0.5× 18 0.5× 36 1.1× 7 395
Joanna Słowik 153 0.6× 130 0.7× 25 0.3× 26 0.7× 62 1.9× 8 346
Il‐Je Yu 250 1.0× 90 0.5× 45 0.5× 8 0.2× 32 1.0× 14 376
Stamatis Belivanis 250 1.0× 127 0.7× 85 1.0× 21 0.5× 33 1.0× 4 443
Zhü Weifang 100 0.4× 115 0.6× 26 0.3× 47 1.2× 34 1.0× 9 418
Elizabeth Leese 196 0.8× 107 0.6× 31 0.4× 23 0.6× 21 0.6× 17 342
Arinobu Ishizaki 321 1.3× 172 0.9× 113 1.3× 37 0.9× 5 0.2× 21 395

Countries citing papers authored by Takeya Inaba

Since Specialization
Citations

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

Fields of papers citing papers by Takeya Inaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeya Inaba

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