Makoto Uchino

215 papers and 3.3k indexed citations i.

About

Makoto Uchino is a scholar working on Molecular Biology, Neurology and Epidemiology. According to data from OpenAlex, Makoto Uchino has authored 215 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 64 papers in Neurology and 53 papers in Epidemiology. Recurrent topics in Makoto Uchino’s work include Acute Ischemic Stroke Management (36 papers), Cerebrovascular and Carotid Artery Diseases (29 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (29 papers). Makoto Uchino is often cited by papers focused on Acute Ischemic Stroke Management (36 papers), Cerebrovascular and Carotid Artery Diseases (29 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (29 papers). Makoto Uchino collaborates with scholars based in Japan, Sweden and Canada. Makoto Uchino's co-authors include Yukio Ando, Teruyuki Hirano, Masayuki Ando, Eiichiro Uyama, Yoichiro Hashimoto, Toshiro Yonehara, Shuji Mita, Taro Yamashita, Teruhisa Miike and Yuichiro Inatomi and has published in prestigious journals such as Blood, PLoS ONE and Neurology.

In The Last Decade

Co-authorship network of co-authors of Makoto Uchino i

Fields of papers citing papers by Makoto Uchino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Makoto Uchino

Since Specialization
Citations

This map shows the geographic impact of Makoto Uchino'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 Makoto Uchino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Uchino 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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2025