Translational Oncology

2.4k papers and 42.0k indexed citations i.

About

The 2.4k papers published in Translational Oncology in the last decades have received a total of 42.0k indexed citations. Papers published in Translational Oncology usually cover Molecular Biology (1.1k papers), Oncology (986 papers) and Cancer Research (713 papers) specifically the topics of Cancer-related molecular mechanisms research (203 papers), Cancer Immunotherapy and Biomarkers (202 papers) and RNA modifications and cancer (195 papers). The most active scholars publishing in Translational Oncology are Pengfei Xu, Yue Xi, Doménico Ribatti, Roberto Tamma, Tiziana Annese, Xiaosheng Wang, Zhixian Liu, Xiaoqi Liu, Yi Sun and Zhen Wang.

In The Last Decade

Fields of papers published in Translational Oncology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Translational Oncology. 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 Oncology.

Countries where authors publish in Translational Oncology

Since Specialization
Citations

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