Frequent inactivation of PTEN/MMAC1 in primary prostate cancer.
Impact in
Classified as
- Journal
- PubMed
In The Last Decade
doi.org/w63207658 →Countries where authors are citing Frequent inactivation of PTEN/MMAC1 in primary prostate cancer.
This map shows the geographic impact of Frequent inactivation of PTEN/MMAC1 in primary 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 Frequent inactivation of PTEN/MMAC1 in primary 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 Frequent inactivation of PTEN/MMAC1 in primary prostate cancer. more than expected).
Fields of papers citing Frequent inactivation of PTEN/MMAC1 in primary prostate cancer.
This network shows the impact of Frequent inactivation of PTEN/MMAC1 in primary 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 Frequent inactivation of PTEN/MMAC1 in primary prostate cancer..
About Frequent inactivation of PTEN/MMAC1 in primary prostate cancer.
This paper, published in 1997, received 552 indexed citations . Written by P Cairns, Kenji Okami, Sarel Halachmi, Naomi Halachmi, Manel Esteller, James G. Herman, Jin Jen, William B. Isaacs, G. Steven Bova and David Sidransky covering the research area of Molecular Biology, Cancer Research and Pathology and Forensic Medicine. It is primarily cited by scholars working on Molecular Biology (385 citations), Pulmonary and Respiratory Medicine (172 citations), Cancer Research (98 citations), Oncology (91 citations) and Pathology and Forensic Medicine (66 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/w63207658.