Countries where authors publish in Future Microbiology
Since Specialization
Citations
This map shows the geographic impact of research published in Future Microbiology. 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 Future Microbiology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Future Microbiology more than expected).
This network shows the impact of papers published in Future Microbiology. 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 Future Microbiology.
About Future Microbiology
The 2.0k papers published in Future Microbiology in the last decades have received a total of 61.7k indexed citations . Papers published in Future Microbiology usually cover Molecular Medicine (276 papers), Infectious Diseases (673 papers), Endocrinology (193 papers), Applied Microbiology and Biotechnology (52 papers) and Microbiology (152 papers) specifically the topics of Antibiotic Resistance in Bacteria (273 papers), Antifungal resistance and susceptibility (201 papers), Fungal Infections and Studies (154 papers), Bacterial biofilms and quorum sensing (152 papers), Tuberculosis Research and Epidemiology (105 papers), Antimicrobial Resistance in Staphylococcus (103 papers), Bacterial Identification and Susceptibility Testing (100 papers) and Mycobacterium research and diagnosis (96 papers). The most active scholars publishing in Future Microbiology are Dianella Savoia, Thien‐Fah Mah, Adrian F. Gombart, Didier Raoult, Stephen T. Abedon, Lynne V. McFarland, Catherine Loc-Carrillo, Benjamin K. Chan, David S. Perlin and Carol D. Blair.
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.