This map shows the geographic impact of research published in Mitochondrion. 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 Mitochondrion with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitochondrion more than expected).
This network shows the impact of papers published in Mitochondrion. 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 Mitochondrion.
About Mitochondrion
The 2.1k papers published in Mitochondrion in the last decades have received a total of 69.4k indexed citations . Papers published in Mitochondrion usually cover Molecular Biology (1.6k papers), Clinical Biochemistry (95 papers), Aging (22 papers), Genetics (167 papers) and Cancer Research (68 papers) specifically the topics of Mitochondrial Function and Pathology (1.3k papers), Metabolism and Genetic Disorders (95 papers), Forensic and Genetic Research (62 papers), Cell death mechanisms and regulation (59 papers), Autophagy in Disease and Therapy (57 papers), Genomics and Phylogenetic Studies (50 papers), RNA and protein synthesis mechanisms (46 papers) and Cancer, Hypoxia, and Metabolism (44 papers). The most active scholars publishing in Mitochondrion are Jonathan Van Blerkom, Robert K. Naviaux, Douglas C. Wallace, Bernhard Kadenbach, Keshav Kumar Singh, Martin A. Picard, Elliott D. Crouser, Afshan N. Malik, Anna Czajka and Tina Wenz.
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.