Translational Cancer Research

4.0k papers and 16.5k indexed citations i.

About

The 4.0k papers published in Translational Cancer Research in the last decades have received a total of 16.5k indexed citations. Papers published in Translational Cancer Research usually cover Molecular Biology (1.4k papers), Oncology (1.4k papers) and Pulmonary and Respiratory Medicine (1.3k papers) specifically the topics of Cancer-related molecular mechanisms research (420 papers), RNA modifications and cancer (365 papers) and Lung Cancer Treatments and Mutations (310 papers). The most active scholars publishing in Translational Cancer Research are Anand Venugopal, Shrikant Anant, Deep Kwatra, Baoqing Chen, George A. Călin, Mihnea P. Dragomir, Robert J. Lutz, Edward R. Sauter, Heidi Schwarzenbach and George Iliakis.

In The Last Decade

Fields of papers published in Translational Cancer Research

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Translational 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 Cancer Research.

Countries where authors publish in Translational Cancer Research

Since Specialization
Citations

This map shows the geographic impact of research published in Translational 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 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 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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2025