Makiko Uemura

65 papers and 210 indexed citations i.

About

Makiko Uemura is a scholar working on Hematology, Oncology and Surgery. According to data from OpenAlex, Makiko Uemura has authored 65 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Hematology, 19 papers in Oncology and 11 papers in Surgery. Recurrent topics in Makiko Uemura’s work include Acute Myeloid Leukemia Research (13 papers), Hematopoietic Stem Cell Transplantation (8 papers) and Neutropenia and Cancer Infections (7 papers). Makiko Uemura is often cited by papers focused on Acute Myeloid Leukemia Research (13 papers), Hematopoietic Stem Cell Transplantation (8 papers) and Neutropenia and Cancer Infections (7 papers). Makiko Uemura collaborates with scholars based in Japan. Makiko Uemura's co-authors include Osamu Imataki, Norimitsu Kadowaki, Kensuke Matsumoto, Akihiro Takeuchi, Haruyuki Fujita, Yumiko Ohbayashi, Tetsuji Yamamoto, Shouichi Tanaka, Noriyasu Fukuoka and Kazunori Yamaguchi and has published in prestigious journals such as Blood, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Makiko Uemura i

Fields of papers citing papers by Makiko Uemura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Makiko Uemura

Since Specialization
Citations

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