This map shows the geographic impact of research published in Plasmid. 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 Plasmid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Plasmid more than expected).
This network shows the impact of papers published in Plasmid. 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 Plasmid.
About Plasmid
The 2.3k papers published in Plasmid in the last decades have received a total of 67.1k indexed citations . Papers published in Plasmid usually cover Molecular Medicine (422 papers), Endocrinology (236 papers), Genetics (1.1k papers), Ecology (680 papers) and Molecular Biology (1.4k papers) specifically the topics of Bacterial Genetics and Biotechnology (977 papers), Bacteriophages and microbial interactions (620 papers), Antibiotic Resistance in Bacteria (422 papers), Genomics and Phylogenetic Studies (326 papers), RNA and protein synthesis mechanisms (314 papers), Legume Nitrogen Fixing Symbiosis (208 papers), DNA Repair Mechanisms (175 papers) and Antimicrobial Resistance in Staphylococcus (151 papers). The most active scholars publishing in Plasmid are Richard P. Novick, Thomas Eckhardt, Tobias Kieser, John Davison, Kurt Nordström, Saleem A. Khan, Don B. Clewell, Roderic M. K. Dale, Ruth M. Hall and Jeffrey P. Houchins.
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.