Mao Shiomi

About

Mao Shiomi is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Bioengineering. According to data from OpenAlex, Mao Shiomi has authored 5 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 3 papers in Electrical and Electronic Engineering and 2 papers in Bioengineering. Recurrent topics in Mao Shiomi’s work include Advanced Sensor and Energy Harvesting Materials (3 papers), Gas Sensing Nanomaterials and Sensors (2 papers) and Nanowire Synthesis and Applications (2 papers). Mao Shiomi is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (3 papers), Gas Sensing Nanomaterials and Sensors (2 papers) and Nanowire Synthesis and Applications (2 papers). Mao Shiomi collaborates with scholars based in Japan. Mao Shiomi's co-authors include Takayuki Arie, Seiji Akita, Kuniharu Takei, Yusuke Fujita, Shogo Nakata, Satoko Honda, Yuyao Lu, Kaichen Xu and Daisuke Yamamoto and has published in prestigious journals such as Advanced Materials, ACS Nano and ACS Applied Materials & Interfaces.

In The Last Decade

Co-authorship network of co-authors of Mao Shiomi i

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Fields of papers citing papers by Mao Shiomi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mao Shiomi

Since Specialization

Citations

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

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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