Mayumi Kodama

14 papers and 258 indexed citations i.

About

Mayumi Kodama is a scholar working on Hepatology, Surgery and Genetics. According to data from OpenAlex, Mayumi Kodama has authored 14 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Hepatology, 4 papers in Surgery and 4 papers in Genetics. Recurrent topics in Mayumi Kodama’s work include Liver physiology and pathology (3 papers), Inflammatory Bowel Disease (3 papers) and Liver Disease and Transplantation (2 papers). Mayumi Kodama is often cited by papers focused on Liver physiology and pathology (3 papers), Inflammatory Bowel Disease (3 papers) and Liver Disease and Transplantation (2 papers). Mayumi Kodama collaborates with scholars based in Japan. Mayumi Kodama's co-authors include Akio Ido, Masatsugu Numata, Hirohito Tsubouchi, Hirofumi Uto, Akihiro Moriuchi, Kana Matsumoto, Kazuyuki Ueno, Kunio Miyatake, Satoru Hasuike and Kenji Nagata and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Thrombosis and Haemostasis and Gastrointestinal Endoscopy.

In The Last Decade

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

Fields of papers citing papers by Mayumi Kodama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mayumi Kodama

Since Specialization
Citations

This map shows the geographic impact of Mayumi Kodama'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 Mayumi Kodama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayumi Kodama 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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2026