BRAF and RAS mutations in human lung cancer and melanoma.
Impact in
- Oncology 442
Classified as
- Journal
- PubMed
In The Last Decade
doi.org/w47174984 →Countries where authors are citing BRAF and RAS mutations in human lung cancer and melanoma.
This map shows the geographic impact of BRAF and RAS mutations in human lung cancer and melanoma.. 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 BRAF and RAS mutations in human lung cancer and melanoma. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites BRAF and RAS mutations in human lung cancer and melanoma. more than expected).
Fields of papers citing BRAF and RAS mutations in human lung cancer and melanoma.
This network shows the impact of BRAF and RAS mutations in human lung cancer and melanoma.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the BRAF and RAS mutations in human lung cancer and melanoma..
About BRAF and RAS mutations in human lung cancer and melanoma.
This paper, published in 2002, received 841 indexed citations . Written by Marcia S. Brose, Patrícia Volpe, Michael D. Feldman, Madhu Kumar, Eugene Einhorn, Meenhard Herlyn, John D. Minna, Andrew G. Nicholson, Jack A. Roth and Steven Μ. Albelda covering the research area of Molecular Biology and Pathology and Forensic Medicine. It is primarily cited by scholars working on Molecular Biology (622 citations), Oncology (442 citations), Pulmonary and Respiratory Medicine (217 citations), Cancer Research (147 citations) and Pathology and Forensic Medicine (130 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/w47174984.