This map shows the geographic impact of research published in Genomics Data. 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 Genomics Data with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Genomics Data more than expected).
This network shows the impact of papers published in Genomics Data. 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 Genomics Data.
About Genomics Data
The 675 papers published in Genomics Data in the last decades have received a total of 7.0k indexed citations . Papers published in Genomics Data usually cover Molecular Biology (481 papers), Cancer Research (95 papers), Plant Science (140 papers), Immunology (67 papers) and Ecology (87 papers) specifically the topics of Genomics and Phylogenetic Studies (153 papers), RNA modifications and cancer (64 papers), Microbial Community Ecology and Physiology (63 papers), Cancer-related molecular mechanisms research (55 papers), RNA Research and Splicing (47 papers), Genomics and Chromatin Dynamics (45 papers), Epigenetics and DNA Methylation (42 papers) and MicroRNA in disease regulation (39 papers). The most active scholars publishing in Genomics Data are Kathryn L. Evans, Andrew M. McIntosh, David J. Porteous, Daniel L. McCartney, Stewart W. Morris, Rosie M. Walker, Joo Kheng Goh, Siew Ping Lim, Adeline Su Yien Ting and Rajesh Patel.
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.