Overexpression of the focal adhesion kinase (p125FAK) in invasive human tumors.
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This map shows the geographic impact of Overexpression of the focal adhesion kinase (p125FAK) in invasive human tumors.. 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 Overexpression of the focal adhesion kinase (p125FAK) in invasive human tumors. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Overexpression of the focal adhesion kinase (p125FAK) in invasive human tumors. more than expected).
Fields of papers citing Overexpression of the focal adhesion kinase (p125FAK) in invasive human tumors.
This network shows the impact of Overexpression of the focal adhesion kinase (p125FAK) in invasive human tumors.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Overexpression of the focal adhesion kinase (p125FAK) in invasive human tumors..
About Overexpression of the focal adhesion kinase (p125FAK) in invasive human tumors.
This paper, published in 1995, received 541 indexed citations . Written by Lewis V. Owens, Li Xu, Rolf J. Craven, Georgette A. Dent, Lori J. Kornberg, Edison T. Liu and William G. Cance covering the research area of Immunology and Allergy, Oncology and Molecular Biology. It is primarily cited by scholars working on Immunology and Allergy (371 citations), Molecular Biology (283 citations) and Cell Biology (241 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/w54549587.