Tadao Unuma

44 papers and 1.7k indexed citations i.

About

Tadao Unuma is a scholar working on Hepatology, Molecular Biology and Epidemiology. According to data from OpenAlex, Tadao Unuma has authored 44 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Hepatology, 15 papers in Molecular Biology and 11 papers in Epidemiology. Recurrent topics in Tadao Unuma’s work include Hepatocellular Carcinoma Treatment and Prognosis (10 papers), RNA modifications and cancer (9 papers) and Liver Disease Diagnosis and Treatment (8 papers). Tadao Unuma is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (10 papers), RNA modifications and cancer (9 papers) and Liver Disease Diagnosis and Treatment (8 papers). Tadao Unuma collaborates with scholars based in Japan, United States and Croatia. Tadao Unuma's co-authors include Shuichiro Shiina, Kazumi Tagawa, Akira Terano, Kenta Yoshiura, Yasushi Shiratori, H. Busch, Yuki Niwa, Yutaka Komatsu, Riichiro Takanashi and Eiji Hamada and has published in prestigious journals such as Gastroenterology, Hepatology and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Tadao Unuma i

Fields of papers citing papers by Tadao Unuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tadao Unuma

Since Specialization
Citations

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