This map shows the geographic impact of research published in Cell Genomics. 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 Cell Genomics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cell Genomics more than expected).
This network shows the impact of papers published in Cell Genomics. 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 Cell Genomics.
About Cell Genomics
The 393 papers published in Cell Genomics in the last decades have received a total of 3.7k indexed citations . Papers published in Cell Genomics usually cover Genetics (134 papers), Cancer Research (66 papers), Molecular Biology (274 papers), Aging (6 papers) and Biophysics (11 papers) specifically the topics of Genetic Associations and Epidemiology (66 papers), Single-cell and spatial transcriptomics (65 papers), RNA Research and Splicing (47 papers), Genomics and Chromatin Dynamics (47 papers), CRISPR and Genetic Engineering (45 papers), Cancer Genomics and Diagnostics (41 papers), RNA modifications and cancer (41 papers) and Epigenetics and DNA Methylation (38 papers). The most active scholars publishing in Cell Genomics are Alain R. Thierry, Roderic Guigó, Karsten Suhre, Wei Zhou, Winston Timp, Yukinori Okada, Steven Busan, Peter Smibert, Roham Razaghi and William Stephenson.
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.