Tissue microarrays for high-throughput molecular profiling of tumor specimens

Abstract

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About

This paper, published in 1950, received 3.2k indexed citations. Written by Juha Kononen, Lukas Bubendorf, Maarit Bärlund, Peter Schraml, Stephen B. Leighton, J. Torhorst, Michael J. Mihatsch and Guido Sauter covering the research area of Molecular Biology and Genetics. It is primarily cited by scholars working on Molecular Biology (2.0k citations), Oncology (1.4k citations) and Pulmonary and Respiratory Medicine (577 citations). Published in Nature Medicine.

Countries where authors are citing Tissue microarrays for high-throughput molecular profiling of tumor specimens

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Citations

This map shows the geographic impact of Tissue microarrays for high-throughput molecular profiling of tumor specimens. 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 Tissue microarrays for high-throughput molecular profiling of tumor specimens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tissue microarrays for high-throughput molecular profiling of tumor specimens more than expected).

Fields of papers citing Tissue microarrays for high-throughput molecular profiling of tumor specimens

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Tissue microarrays for high-throughput molecular profiling of tumor specimens. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Tissue microarrays for high-throughput molecular profiling of tumor specimens.

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/10.1038/nm0798-844.

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