Countries where authors publish in Genomics & Informatics
Since Specialization
Citations
This map shows the geographic impact of research published in Genomics & Informatics. 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 & Informatics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Genomics & Informatics more than expected).
Fields of papers published in Genomics & Informatics
This network shows the impact of papers published in Genomics & Informatics. 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 & Informatics.
About Genomics & Informatics
The 625 papers published in Genomics & Informatics in the last decades have received a total of 6.3k indexed citations . Papers published in Genomics & Informatics usually cover Molecular Biology (420 papers), Cancer Research (83 papers), Genetics (147 papers), Infectious Diseases (33 papers) and Computational Theory and Mathematics (28 papers) specifically the topics of Genomics and Phylogenetic Studies (84 papers), Genetic Associations and Epidemiology (59 papers), RNA modifications and cancer (58 papers), Bioinformatics and Genomic Networks (57 papers), Gene expression and cancer classification (53 papers), RNA and protein synthesis mechanisms (50 papers), Genetic Mapping and Diversity in Plants and Animals (36 papers) and Biomedical Text Mining and Ontologies (36 papers). The most active scholars publishing in Genomics & Informatics are Ji Wan Park, Eun Pyo Hong, M. Luz Calle, Sun Shim Choi, Nam‐Soo Kim, Sung-Il Lee, Heui‐Soo Kim, Yeun‐Jun Chung, Buhm Han and Seungho Cook.
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.