Maiko Arashiro

746 total citations
10 papers, 547 citations indexed

About

Maiko Arashiro is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Maiko Arashiro has authored 10 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Health, Toxicology and Mutagenesis, 8 papers in Atmospheric Science and 7 papers in Environmental Engineering. Recurrent topics in Maiko Arashiro's work include Air Quality and Health Impacts (9 papers), Atmospheric chemistry and aerosols (8 papers) and Air Quality Monitoring and Forecasting (6 papers). Maiko Arashiro is often cited by papers focused on Air Quality and Health Impacts (9 papers), Atmospheric chemistry and aerosols (8 papers) and Air Quality Monitoring and Forecasting (6 papers). Maiko Arashiro collaborates with scholars based in United States. Maiko Arashiro's co-authors include Ying‐Hsuan Lin, Jason D. Surratt, Avram Gold, Kenneth G. Sexton, Zhenfa Zhang, William Vizuete, Daniel E. Giammar, Hui Zeng, Rebecca C. Fry and Ilona Jaspers and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and Water Research.

In The Last Decade

Maiko Arashiro

10 papers receiving 538 citations

Peers

Maiko Arashiro

HTM

GPC

Majda Mekić China

Dongmei Cai China

Rachel F. Hems Canada

Sophie Tomaz France

Nieves Durana Spain

Haohao Jia China

Qi Zou China

Julia Hammes Sweden

Conny Müller Germany

Majda Mekić China

Maiko Arashiro

476 ×1.2

339 ×0.9

HTM

161 ×1.1

118 ×1.5

GPC

18 ×0.3

Citations per year, relative to Maiko Arashiro Maiko Arashiro (= 1×) peers Majda Mekić

Countries citing papers authored by Maiko Arashiro

Since Specialization

Citations

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

Fields of papers citing papers by Maiko Arashiro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maiko Arashiro

This figure shows the co-authorship network connecting the top 25 collaborators of Maiko Arashiro. A scholar is included among the top collaborators of Maiko Arashiro 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 Maiko Arashiro. Maiko Arashiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Eaves, Lauren A., Lisa Smeester, Hadley J. Hartwell, et al.. (2019). Isoprene-Derived Secondary Organic Aerosol Induces the Expression of MicroRNAs Associated with Inflammatory/Oxidative Stress Response in Lung Cells. Chemical Research in Toxicology. 33(2). 381–387. 28 indexed citations

Arashiro, Maiko, et al.. (2019). Understanding the Early Biological Effects of Isoprene-Derived Particulate Matter Enhanced by Anthropogenic Pollutants.. PubMed. 1–54. 6 indexed citations

Lin, Ying‐Hsuan, Maiko Arashiro, Phillip W. Clapp, et al.. (2017). Gene Expression Profiling in Human Lung Cells Exposed to Isoprene-Derived Secondary Organic Aerosol. Environmental Science & Technology. 51(14). 8166–8175. 57 indexed citations

Arashiro, Maiko, Ying‐Hsuan Lin, Zhenfa Zhang, et al.. (2017). Effect of secondary organic aerosol from isoprene-derived hydroxyhydroperoxides on the expression of oxidative stress response genes in human bronchial epithelial cells. Environmental Science Processes & Impacts. 20(2). 332–339. 29 indexed citations

Arashiro, Maiko, Ying‐Hsuan Lin, Kenneth G. Sexton, et al.. (2016). In vitro exposure to isoprene-derived secondary organic aerosol by direct deposition and its effects on COX-2 and IL-8 gene expression. Atmospheric chemistry and physics. 16(22). 14079–14090. 24 indexed citations

Lin, Ying‐Hsuan, Maiko Arashiro, Elizabeth M. Martin, et al.. (2016). Isoprene-Derived Secondary Organic Aerosol Induces the Expression of Oxidative Stress Response Genes in Human Lung Cells. Environmental Science & Technology Letters. 3(6). 250–254. 60 indexed citations

Lund, Amie K., Melanie Doyle‐Eisele, Ying‐Hsuan Lin, et al.. (2013). The effects of α-pinene versus toluene-derived secondary organic aerosol exposure on the expression of markers associated with vascular disease. Inhalation Toxicology. 25(6). 309–324. 20 indexed citations

Lin, Ying‐Hsuan, Haofei Zhang, Havala O. T. Pye, et al.. (2013). Epoxide as a precursor to secondary organic aerosol formation from isoprene photooxidation in the presence of nitrogen oxides. Proceedings of the National Academy of Sciences. 110(17). 6718–6723. 246 indexed citations

Arashiro, Maiko & David Leith. (2012). Precision of PM measurements with the UNC passive aerosol sampler. Journal of Aerosol Science. 57. 181–184. 11 indexed citations

10.

Zeng, Hui, Maiko Arashiro, & Daniel E. Giammar. (2008). Effects of water chemistry and flow rate on arsenate removal by adsorption to an iron oxide-based sorbent. Water Research. 42(18). 4629–4636. 66 indexed citations

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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