Countries where authors publish in Microbial Genomics
Since Specialization
Citations
This map shows the geographic impact of research published in Microbial 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 Microbial Genomics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Microbial Genomics more than expected).
This network shows the impact of papers published in Microbial 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 Microbial Genomics.
About Microbial Genomics
The 1.3k papers published in Microbial Genomics in the last decades have received a total of 24.3k indexed citations . Papers published in Microbial Genomics usually cover Molecular Medicine (276 papers), Endocrinology (250 papers), Microbiology (141 papers), Clinical Biochemistry (116 papers) and Infectious Diseases (263 papers) specifically the topics of Genomics and Phylogenetic Studies (359 papers), Antibiotic Resistance in Bacteria (276 papers), Bacteriophages and microbial interactions (197 papers), Salmonella and Campylobacter epidemiology (141 papers), Bacterial Identification and Susceptibility Testing (113 papers), Vibrio bacteria research studies (100 papers), Mycobacterium research and diagnosis (96 papers) and Gut microbiota and health (95 papers). The most active scholars publishing in Microbial Genomics are Kathryn E. Holt, Ryan R. Wick, James A. Robertson, John J. Nash, Claire L. Gorrie, Louise M. Judd, Kelly L. Wyres, Andrew J. Page, Jacqueline A. Keane and Simon R. Harris.
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.