Driver mutations in TP53 are ubiquitous in high grade serous carcinoma of the ovary

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This paper, published in 1950, received 505 indexed citations. Written by Ahmed A. Ahmed, Dariush Etemadmoghadam, Jillian Temple, Andy G. Lynch, Mohamed Riad, Raghwa Sharma, Colin J.R. Stewart, Sián Fereday, Carlos Caldas and Anna DeFazio covering the research area of Oncology, Cancer Research and Reproductive Medicine. It is primarily cited by scholars working on Reproductive Medicine (320 citations), Molecular Biology (214 citations) and Cancer Research (211 citations). Published in The Journal of Pathology.

Countries where authors are citing Driver mutations in TP53 are ubiquitous in high grade serous carcinoma of the ovary

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Citations

This map shows the geographic impact of Driver mutations in TP53 are ubiquitous in high grade serous carcinoma of the ovary. 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 Driver mutations in TP53 are ubiquitous in high grade serous carcinoma of the ovary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Driver mutations in TP53 are ubiquitous in high grade serous carcinoma of the ovary more than expected).

Fields of papers citing Driver mutations in TP53 are ubiquitous in high grade serous carcinoma of the ovary

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Driver mutations in TP53 are ubiquitous in high grade serous carcinoma of the ovary. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Driver mutations in TP53 are ubiquitous in high grade serous carcinoma of the ovary.

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/path.2696.

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