Translational Lung Cancer Research

1.5k papers and 20.2k indexed citations i.

About

The 1.5k papers published in Translational Lung Cancer Research in the last decades have received a total of 20.2k indexed citations. Papers published in Translational Lung Cancer Research usually cover Pulmonary and Respiratory Medicine (1.1k papers), Oncology (746 papers) and Cancer Research (257 papers) specifically the topics of Lung Cancer Treatments and Mutations (694 papers), Lung Cancer Diagnosis and Treatment (510 papers) and Lung Cancer Research Studies (341 papers). The most active scholars publishing in Translational Lung Cancer Research are Shaker A. Mousa, Reginald F. Munden, Carol C. Wu, Patricia M. de Groot, Brett W. Carter, Anna F. Farago, Jacek Jassem, Mari Mino‐Kenudson, Florence K. Keane and Ali Fatehi Hassanabad.

In The Last Decade

Fields of papers published in Translational Lung Cancer Research

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Translational Lung Cancer Research. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Translational Lung Cancer Research.

Countries where authors publish in Translational Lung Cancer Research

Since Specialization
Citations

This map shows the geographic impact of research published in Translational Lung Cancer Research. 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 papers published in Translational Lung Cancer Research with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Translational Lung Cancer Research more than expected).

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.

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