Makoto Mayumi

82 papers and 3.2k indexed citations i.

About

Makoto Mayumi is a scholar working on Epidemiology, Hepatology and Animal Science and Zoology. According to data from OpenAlex, Makoto Mayumi has authored 82 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Epidemiology, 30 papers in Hepatology and 18 papers in Animal Science and Zoology. Recurrent topics in Makoto Mayumi’s work include Hepatitis B Virus Studies (44 papers), Hepatitis C virus research (25 papers) and Viral Diseases in Livestock and Poultry (18 papers). Makoto Mayumi is often cited by papers focused on Hepatitis B Virus Studies (44 papers), Hepatitis C virus research (25 papers) and Viral Diseases in Livestock and Poultry (18 papers). Makoto Mayumi collaborates with scholars based in Japan, Croatia and Saudi Arabia. Makoto Mayumi's co-authors include Hiroaki Okamoto, Yuzo Miyakawa, Masato Ukita, Fumio Tsuda, Tsutomu Nishizawa, Naomi Kato, H. Iizuka, Hiroki Ikeda, Yuzo Miyakawa and Fumio Tsuda and has published in prestigious journals such as New England Journal of Medicine, The Lancet and The Journal of Immunology.

In The Last Decade

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

Fields of papers citing papers by Makoto Mayumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Makoto Mayumi

Since Specialization
Citations

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