Cancer Informatics

602 papers and 8.3k indexed citations i.

About

The 602 papers published in Cancer Informatics in the last decades have received a total of 8.3k indexed citations. Papers published in Cancer Informatics usually cover Molecular Biology (416 papers), Cancer Research (145 papers) and Oncology (92 papers) specifically the topics of Gene expression and cancer classification (193 papers), Bioinformatics and Genomic Networks (149 papers) and Cancer Genomics and Diagnostics (65 papers). The most active scholars publishing in Cancer Informatics are David S. Wishart, Yingdong Zhao, Richard Simon, Tijana Milenković, Nataša Pržulj, Ming‐Chung Li, Amy Lam, David C. Wheeler, Chris Gennings and Jenna Czarnota.

In The Last Decade

Fields of papers published in Cancer Informatics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Cancer Informatics

Since Specialization
Citations

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