Analysis of gene expression identifies candidate markers and pharmacological targets in prostate cancer.
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doi.org/w62129730 →Countries where authors are citing Analysis of gene expression identifies candidate markers and pharmacological targets in prostate cancer.
This map shows the geographic impact of Analysis of gene expression identifies candidate markers and pharmacological targets in prostate cancer.. 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 Analysis of gene expression identifies candidate markers and pharmacological targets in prostate cancer. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Analysis of gene expression identifies candidate markers and pharmacological targets in prostate cancer. more than expected).
Fields of papers citing Analysis of gene expression identifies candidate markers and pharmacological targets in prostate cancer.
This network shows the impact of Analysis of gene expression identifies candidate markers and pharmacological targets in prostate cancer.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Analysis of gene expression identifies candidate markers and pharmacological targets in prostate cancer..
About Analysis of gene expression identifies candidate markers and pharmacological targets in prostate cancer.
This paper, published in 2001, received 685 indexed citations . Written by John Welsh, Lisa M. Sapinoso, Andrew I. Su, S Kern, Jessica Wang‐Rodriguez, Christopher A. Moskaluk and Henry F. Frierson covering the research area of Immunology, Rheumatology and Cellular and Molecular Neuroscience. It is primarily cited by scholars working on Molecular Biology (480 citations), Pulmonary and Respiratory Medicine (191 citations), Cancer Research (177 citations), Oncology (84 citations) and Immunology (78 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/w62129730.