Akiko Uno

20 papers and 976 indexed citations i.

About

Akiko Uno is a scholar working on Epidemiology, Hepatology and Molecular Biology. According to data from OpenAlex, Akiko Uno has authored 20 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 5 papers in Hepatology and 3 papers in Molecular Biology. Recurrent topics in Akiko Uno’s work include Liver Disease Diagnosis and Treatment (4 papers), Liver Disease and Transplantation (3 papers) and RNA Interference and Gene Delivery (2 papers). Akiko Uno is often cited by papers focused on Liver Disease Diagnosis and Treatment (4 papers), Liver Disease and Transplantation (3 papers) and RNA Interference and Gene Delivery (2 papers). Akiko Uno collaborates with scholars based in Japan and China. Akiko Uno's co-authors include Sonomi Nakajima, Seiko Sasaki, Shizue Kato, Reiko Kishi, Masayuki Sudoh, Tsuneo Ito, Yoshiyuki Sakamaki, Masahiko Matsumoto, Chiaki Tanaka and Fumihiro Sata and has published in prestigious journals such as Environmental Health Perspectives, Transplantation and Gene Therapy.

In The Last Decade

Co-authorship network of co-authors of Akiko Uno i

Fields of papers citing papers by Akiko Uno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Akiko Uno

Since Specialization
Citations

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