Tumor oxygenation predicts for the likelihood of distant metastases in human soft tissue sarcoma.

1.0k indexed citations
published 1996

Countries where authors are citing Tumor oxygenation predicts for the likelihood of distant metastases in human soft tissue sarcoma.

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Citations

This map shows the geographic impact of Tumor oxygenation predicts for the likelihood of distant metastases in human soft tissue sarcoma.. 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 Tumor oxygenation predicts for the likelihood of distant metastases in human soft tissue sarcoma. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tumor oxygenation predicts for the likelihood of distant metastases in human soft tissue sarcoma. more than expected).

Fields of papers citing Tumor oxygenation predicts for the likelihood of distant metastases in human soft tissue sarcoma.

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Tumor oxygenation predicts for the likelihood of distant metastases in human soft tissue sarcoma.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Tumor oxygenation predicts for the likelihood of distant metastases in human soft tissue sarcoma..

About Tumor oxygenation predicts for the likelihood of distant metastases in human soft tissue sarcoma.

This paper, published in 1996, received 1.0k indexed citations . Written by David M. Brizel, Sean P. Scully, John M. Harrelson, Lester J. Layfield, James Bean, L.R. Prosnitz and Mark W. Dewhirst covering the research area of Oncology, Pulmonary and Respiratory Medicine and Cancer Research. It is primarily cited by scholars working on Cancer Research (706 citations), Molecular Biology (400 citations) and Radiology, Nuclear Medicine and Imaging (232 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/w51996634.

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