This map shows the geographic impact of research published in Microbial Cell. 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 Cell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Microbial Cell more than expected).
This network shows the impact of papers published in Microbial Cell. 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 Cell.
About Microbial Cell
The 496 papers published in Microbial Cell in the last decades have received a total of 9.6k indexed citations . Papers published in Microbial Cell usually cover Aging (29 papers), Molecular Biology (325 papers), Microbiology (24 papers), Infectious Diseases (65 papers) and Endocrinology (17 papers) specifically the topics of Fungal and yeast genetics research (96 papers), Bacterial Genetics and Biotechnology (36 papers), Mitochondrial Function and Pathology (34 papers), RNA and protein synthesis mechanisms (30 papers), Genetics, Aging, and Longevity in Model Organisms (29 papers), Gut microbiota and health (29 papers), Microbial Metabolic Engineering and Bioproduction (26 papers) and DNA Repair Mechanisms (26 papers). The most active scholars publishing in Microbial Cell are Zhangyuan Yin, Daniel J. Klionsky, Frank Madeo, Didac Carmona‐Gutiérrez, Katharina Kainz, Maria Anna Bauer, Lola V. Stamm, Catherine M. O’Connell, Edward J. Calabrese and Stefan Schild.
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.