Genes & Diseases

1.2k papers and 20.6k indexed citations i.

About

The 1.2k papers published in Genes & Diseases in the last decades have received a total of 20.6k indexed citations. Papers published in Genes & Diseases usually cover Molecular Biology (753 papers), Cancer Research (306 papers) and Oncology (232 papers) specifically the topics of RNA modifications and cancer (147 papers), Cancer-related molecular mechanisms research (132 papers) and MicroRNA in disease regulation (85 papers). The most active scholars publishing in Genes & Diseases are Sang Yong Lee, Jun Sun, Bo Jiang, Jillian Cathcart, Hue H. Luu, Jian Cao, Ashleigh Pulkoski‐Gross, Russell R. Reid, Yun Liu and Zelin Jin.

In The Last Decade

Fields of papers published in Genes & Diseases

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Genes & Diseases

Since Specialization
Citations

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