Identification of Gastric Cancer Stem Cells Using the Cell Surface Marker CD44
Impact in
- Oncology 504
Classified as
- Journal
- 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
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
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.
About Identification of Gastric Cancer Stem Cells Using the Cell Surface Marker CD44
This paper, published in 2009, received 833 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 (504 citations), Molecular Biology (381 citations), Cancer Research (194 citations), Surgery (90 citations) and Biotechnology (88 citations). Published in Stem Cells.
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.