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 573 papers published in Cell Genomics in the last decades have received a total of 8.0k indexed citations . Papers published in Cell Genomics usually cover Cancer Research (98 papers), Genetics (185 papers), Molecular Biology (381 papers), Aging (7 papers) and Immunology (51 papers) specifically the topics of Genetic Associations and Epidemiology (88 papers), Single-cell and spatial transcriptomics (80 papers), Cancer Genomics and Diagnostics (65 papers), Genomics and Chromatin Dynamics (62 papers), CRISPR and Genetic Engineering (60 papers), RNA Research and Splicing (56 papers), RNA modifications and cancer (53 papers) and Epigenetics and DNA Methylation (50 papers). The most active scholars publishing in Cell Genomics are Alain Roger Thierry, Roderic Guigó, Wei Zhou, Karsten Suhre, Yukinori Okada, Benjamin M. Neale, Roham Razaghi, Winston Timp, William Stephenson and Peter Smibert.
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.