Madoka Ikemoto‐Uezumi

33 papers and 1.8k indexed citations i.

About

Madoka Ikemoto‐Uezumi is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Madoka Ikemoto‐Uezumi has authored 33 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 12 papers in Physiology and 11 papers in Genetics. Recurrent topics in Madoka Ikemoto‐Uezumi’s work include Muscle Physiology and Disorders (25 papers), Mesenchymal stem cell research (8 papers) and Tissue Engineering and Regenerative Medicine (7 papers). Madoka Ikemoto‐Uezumi is often cited by papers focused on Muscle Physiology and Disorders (25 papers), Mesenchymal stem cell research (8 papers) and Tissue Engineering and Regenerative Medicine (7 papers). Madoka Ikemoto‐Uezumi collaborates with scholars based in Japan, United States and Germany. Madoka Ikemoto‐Uezumi's co-authors include Akiyoshi Uezumi, So‐ichiro Fukada, Shin’ichi Takeda, Yuko Miyagoe‐Suzuki, Kunihiro Tsuchida, S. Masuda, Hiroshi Yamamoto, Masashi Segawa, Naoki Tanimura and Takeshi Nikawa and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Co-authorship network of co-authors of Madoka Ikemoto‐Uezumi i

Fields of papers citing papers by Madoka Ikemoto‐Uezumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Madoka Ikemoto‐Uezumi. 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 Madoka Ikemoto‐Uezumi. The network helps show where Madoka Ikemoto‐Uezumi may publish in the future.

Countries citing papers authored by Madoka Ikemoto‐Uezumi

Since Specialization
Citations

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