Mayumi Ueno

43 papers and 359 indexed citations i.

About

Mayumi Ueno is a scholar working on Hematology, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Mayumi Ueno has authored 43 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hematology, 10 papers in Pathology and Forensic Medicine and 9 papers in Epidemiology. Recurrent topics in Mayumi Ueno’s work include Lymphoma Diagnosis and Treatment (9 papers), Cytomegalovirus and herpesvirus research (5 papers) and Acute Myeloid Leukemia Research (5 papers). Mayumi Ueno is often cited by papers focused on Lymphoma Diagnosis and Treatment (9 papers), Cytomegalovirus and herpesvirus research (5 papers) and Acute Myeloid Leukemia Research (5 papers). Mayumi Ueno collaborates with scholars based in Japan and Australia. Mayumi Ueno's co-authors include Naoaki Ichikawa, Hikaru Kobayashi, Ikuo Shimizu, Masahiko Sumi, Kiyoshi Kitano, Kendo Kiyosawa, Hikaru Kobayashi, Toshimitsu Ueki, Fumihiro Ishida and Toshiro Ito and has published in prestigious journals such as Blood, British Journal of Haematology and Journal of Wildlife Management.

In The Last Decade

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

Fields of papers citing papers by Mayumi Ueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mayumi Ueno

Since Specialization
Citations

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