This map shows the geographic impact of research published in Cytoskeleton. 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 Cytoskeleton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cytoskeleton more than expected).
This network shows the impact of papers published in Cytoskeleton. 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 Cytoskeleton.
About Cytoskeleton
The 837 papers published in Cytoskeleton in the last decades have received a total of 17.9k indexed citations . Papers published in Cytoskeleton usually cover Cell Biology (552 papers), Aging (27 papers), Biophysics (55 papers), Immunology and Allergy (45 papers) and Molecular Biology (487 papers) specifically the topics of Microtubule and mitosis dynamics (305 papers), Cellular Mechanics and Interactions (301 papers), Cardiomyopathy and Myosin Studies (107 papers), Cellular transport and secretion (83 papers), Genetic and Kidney Cyst Diseases (71 papers), Protist diversity and phylogeny (69 papers), Muscle Physiology and Disorders (62 papers) and Fungal and yeast genetics research (51 papers). The most active scholars publishing in Cytoskeleton are Kozo Kaibuchi, Masanori Nakayama, Mutsuki Amano, James M. Ervasti, Benjamin J. Perrin, Shoichiro Ono, Matthew D. Welch, Christian González‐Billault, Thomas Bornschlögl and Johan Peränen.
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.