Activated STAT signaling in human tumors provides novel molecular targets for therapeutic intervention.
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doi.org/w59335080 →Countries where authors are citing Activated STAT signaling in human tumors provides novel molecular targets for therapeutic intervention.
This map shows the geographic impact of Activated STAT signaling in human tumors provides novel molecular targets for therapeutic intervention.. 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 Activated STAT signaling in human tumors provides novel molecular targets for therapeutic intervention. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Activated STAT signaling in human tumors provides novel molecular targets for therapeutic intervention. more than expected).
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This network shows the impact of Activated STAT signaling in human tumors provides novel molecular targets for therapeutic intervention.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Activated STAT signaling in human tumors provides novel molecular targets for therapeutic intervention..
About Activated STAT signaling in human tumors provides novel molecular targets for therapeutic intervention.
This paper, published in 2002, received 893 indexed citations . Written by Ralf Buettner, Linda Mora and Richard Jove covering the research area of Oncology, Pathology and Forensic Medicine and Molecular Biology. It is primarily cited by scholars working on Oncology (616 citations), Molecular Biology (455 citations) and Immunology (183 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/w59335080.