Genes & Cancer

546 papers and 28.4k indexed citations i.

About

The 546 papers published in Genes & Cancer in the last decades have received a total of 28.4k indexed citations. Papers published in Genes & Cancer usually cover Molecular Biology (408 papers), Oncology (219 papers) and Cancer Research (125 papers) specifically the topics of Cancer-related Molecular Pathways (97 papers), Ubiquitin and proteasome pathways (61 papers) and Epigenetics and DNA Methylation (60 papers). The most active scholars publishing in Genes & Cancer are Masaaki Shibuya, Eugenio Santos, Esther Castellano, Maria‐Magdalena Georgescu, Alberto Fernández‐Medarde, David Malkin, N. Skuli, Bryan L. Krock, M. Celeste Simon and Julian Downward.

In The Last Decade

Fields of papers published in Genes & Cancer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Genes & Cancer. 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 Genes & Cancer.

Countries where authors publish in Genes & Cancer

Since Specialization
Citations

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