Makoto Uchino

5 papers and 463 indexed citations i.

About

Makoto Uchino is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Makoto Uchino has authored 5 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Physiology and 1 paper in Surgery. Recurrent topics in Makoto Uchino’s work include Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers), Parathyroid Disorders and Treatments (1 paper) and Caveolin-1 and cellular processes (1 paper). Makoto Uchino is often cited by papers focused on Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers), Parathyroid Disorders and Treatments (1 paper) and Caveolin-1 and cellular processes (1 paper). Makoto Uchino collaborates with scholars based in Japan, Sweden and United States. Makoto Uchino's co-authors include Yukio Ando, Donato A. Di Monte, Atle Melberg, Sebastiaan Overeem, Emmanuel Mignot, Beth Ripley, Seiji Nishino, Soňa Nevšímalová, Jerome Yesavage and Kenji Dohi and has published in prestigious journals such as Neurology, Biochemical and Biophysical Research Communications and Biochimica et Biophysica Acta (BBA) - General Subjects.

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