Teiji Umemura

37 papers and 653 indexed citations i.

About

Teiji Umemura is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Teiji Umemura has authored 37 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 11 papers in Molecular Biology and 10 papers in Cancer Research. Recurrent topics in Teiji Umemura’s work include Breast Cancer Treatment Studies (7 papers), Breast Implant and Reconstruction (6 papers) and Cancer Diagnosis and Treatment (4 papers). Teiji Umemura is often cited by papers focused on Breast Cancer Treatment Studies (7 papers), Breast Implant and Reconstruction (6 papers) and Cancer Diagnosis and Treatment (4 papers). Teiji Umemura collaborates with scholars based in Japan, United States and China. Teiji Umemura's co-authors include Goro Yoshimura, Takaomi Suzuma, Qifeng Yang, Takeo Sakurai, Misa Nakamura, Ichiro Mori, Takeshi Tamaki, Yasushi Nakamura, Kennichi Kakudo and Yozo Kokawa and has published in prestigious journals such as Cancer Research, Cancer and American Journal Of Pathology.

In The Last Decade

Co-authorship network of co-authors of Teiji Umemura i

Fields of papers citing papers by Teiji Umemura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Teiji Umemura

Since Specialization
Citations

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