Diagnostic and prognostic implications of microRNA profiling in prostate carcinoma

524 indexed citations

Abstract

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About

This paper, published in 2009, received 524 indexed citations. Written by Annika Schaefer, Monika Jung, Hans‐Joachim Mollenkopf, Ina Wagner, Carsten Stephan, Florian Jentzmik, Kurt Miller, Michael Lein, Glen Kristiansen and Klaus Jung covering the research area of Cancer Research and Molecular Biology. It is primarily cited by scholars working on Molecular Biology (463 citations), Cancer Research (459 citations) and Pulmonary and Respiratory Medicine (62 citations). Published in International Journal of Cancer.

Countries where authors are citing Diagnostic and prognostic implications of microRNA profiling in prostate carcinoma

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This map shows the geographic impact of Diagnostic and prognostic implications of microRNA profiling in prostate carcinoma. 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 Diagnostic and prognostic implications of microRNA profiling in prostate carcinoma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diagnostic and prognostic implications of microRNA profiling in prostate carcinoma more than expected).

Fields of papers citing Diagnostic and prognostic implications of microRNA profiling in prostate carcinoma

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Diagnostic and prognostic implications of microRNA profiling in prostate carcinoma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Diagnostic and prognostic implications of microRNA profiling in prostate carcinoma.

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/ijc.24827.

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