KIF5B-RET fusions in lung adenocarcinoma
Impact in
Classified as
- Journal
- Nature Medicine
In The Last Decade
doi.org/10.1038/nm.2644 →Countries where authors are citing KIF5B-RET fusions in lung adenocarcinoma
This map shows the geographic impact of KIF5B-RET fusions in lung adenocarcinoma. 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 KIF5B-RET fusions in lung adenocarcinoma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites KIF5B-RET fusions in lung adenocarcinoma more than expected).
Fields of papers citing KIF5B-RET fusions in lung adenocarcinoma
This network shows the impact of KIF5B-RET fusions in lung adenocarcinoma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the KIF5B-RET fusions in lung adenocarcinoma.
About KIF5B-RET fusions in lung adenocarcinoma
This paper, published in 2012, received 704 indexed citations . Written by Takashi Kohno, Hitoshi Ichikawa, Yasushi Totoki, Kazuki Yasuda, Masaki Hiramoto, Takao Nammo, Hiromi Sakamoto, Koji Tsuta, Koh Furuta and Yoko Shimada covering the research area of Pulmonary and Respiratory Medicine. It is primarily cited by scholars working on Pulmonary and Respiratory Medicine (416 citations), Cancer Research (53 citations), Endocrinology, Diabetes and Metabolism (33 citations), Molecular Biology (25 citations) and Oncology (21 citations). Published in Nature Medicine.
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/10.1038/nm.2644.