Cancer Biomarkers

1.8k papers and 26.9k indexed citations i.

About

The 1.8k papers published in Cancer Biomarkers in the last decades have received a total of 26.9k indexed citations. Papers published in Cancer Biomarkers usually cover Molecular Biology (1.0k papers), Cancer Research (740 papers) and Oncology (525 papers) specifically the topics of Cancer-related molecular mechanisms research (376 papers), MicroRNA in disease regulation (277 papers) and Circular RNAs in diseases (253 papers). The most active scholars publishing in Cancer Biomarkers are Paul Cairns, Jianghong Rao, Yun Xing, William E. Grizzle, Gregory Lee, Judith E. Karp, Jennifer Ding, Ashkan Emadi, Tôru Kondo and Upender Manne.

In The Last Decade

Fields of papers published in Cancer Biomarkers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Cancer Biomarkers. 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 Cancer Biomarkers.

Countries where authors publish in Cancer Biomarkers

Since Specialization
Citations

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