CD8+ T cells infiltrated within cancer cell nests as a prognostic factor in human colorectal cancer.
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In The Last Decade
doi.org/w69531863 →Countries where authors are citing CD8+ T cells infiltrated within cancer cell nests as a prognostic factor in human colorectal cancer.
This map shows the geographic impact of CD8+ T cells infiltrated within cancer cell nests as a prognostic factor in human colorectal cancer.. 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 CD8+ T cells infiltrated within cancer cell nests as a prognostic factor in human colorectal cancer. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites CD8+ T cells infiltrated within cancer cell nests as a prognostic factor in human colorectal cancer. more than expected).
Fields of papers citing CD8+ T cells infiltrated within cancer cell nests as a prognostic factor in human colorectal cancer.
This network shows the impact of CD8+ T cells infiltrated within cancer cell nests as a prognostic factor in human colorectal cancer.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the CD8+ T cells infiltrated within cancer cell nests as a prognostic factor in human colorectal cancer..
About CD8+ T cells infiltrated within cancer cell nests as a prognostic factor in human colorectal cancer.
This paper, published in 1998, received 979 indexed citations . Written by Yoshitaka Naito, Kazuya Saito, Kenichi Shiiba, Katsunori Saigenji, H Nagura and Hiromi Ohtani covering the research area of Oncology. It is primarily cited by scholars working on Oncology (735 citations), Immunology (675 citations) and Molecular Biology (118 citations). Published in PubMed.
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/w69531863.