Identification of Gastric Cancer Stem Cells Using the Cell Surface Marker CD44

Abstract

loading...

About

This paper, published in 1950, received 825 indexed citations. Written by Shigeo Takaishi, Tomoyuki Okumura, Shuiping Tu, Sophie S.W. Wang, Wataru Shibata, Shanisha Gordon, Yutaka Shimada and Timothy C. Wang covering the research area of Oncology, Pulmonary and Respiratory Medicine and Cancer Research. It is primarily cited by scholars working on Oncology (571 citations), Molecular Biology (436 citations) and Cancer Research (228 citations). Published in Stem Cells.

In The Last Decade

doi.org/10.1002/stem.30 →

Countries where authors are citing Identification of Gastric Cancer Stem Cells Using the Cell Surface Marker CD44

Since Specialization
Citations

This map shows the geographic impact of Identification of Gastric Cancer Stem Cells Using the Cell Surface Marker CD44. 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 Identification of Gastric Cancer Stem Cells Using the Cell Surface Marker CD44 with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Identification of Gastric Cancer Stem Cells Using the Cell Surface Marker CD44 more than expected).

Fields of papers citing Identification of Gastric Cancer Stem Cells Using the Cell Surface Marker CD44

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Identification of Gastric Cancer Stem Cells Using the Cell Surface Marker CD44. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Identification of Gastric Cancer Stem Cells Using the Cell Surface Marker CD44.

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.

This paper is also available at doi.org/10.1002/stem.30.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026