LNCaP model of human prostatic carcinoma.

1.5k indexed citations
published 1983

Countries where authors are citing LNCaP model of human prostatic carcinoma.

Specialization
Citations

This map shows the geographic impact of LNCaP model of human prostatic carcinoma.. 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 LNCaP model of human prostatic carcinoma. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites LNCaP model of human prostatic carcinoma. more than expected).

Fields of papers citing LNCaP model of human prostatic carcinoma.

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of LNCaP model of human prostatic carcinoma.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the LNCaP model of human prostatic carcinoma..

About LNCaP model of human prostatic carcinoma.

This paper, published in 1983, received 1.5k indexed citations . Written by Julius S. Horoszewicz, Susan S. Leong, Elzbieta Kawinski, James P. Karr, Hannah Rosenthal, T. Ming Chu, E. A. Mirand and G P Murphy covering the research area of Molecular Biology, Physiology and Oncology. It is primarily cited by scholars working on Molecular Biology (789 citations), Pulmonary and Respiratory Medicine (712 citations) and Genetics (286 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/w74600667.

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