This map shows the geographic impact of research published in Small GTPases. 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 Small GTPases with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Small GTPases more than expected).
This network shows the impact of papers published in Small GTPases. 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 Small GTPases.
About Small GTPases
The 495 papers published in Small GTPases in the last decades have received a total of 13.6k indexed citations . Papers published in Small GTPases usually cover Cell Biology (289 papers), Aging (16 papers) and Immunology and Allergy (50 papers) specifically the topics of Cellular transport and secretion (159 papers), Protein Kinase Regulation and GTPase Signaling (149 papers), Cellular Mechanics and Interactions (97 papers), Microtubule and mitosis dynamics (74 papers), Cell Adhesion Molecules Research (50 papers), Hippo pathway signaling and YAP/TAZ (42 papers), PI3K/AKT/mTOR signaling in cancer (32 papers) and Wnt/β-catenin signaling in development and cancer (31 papers). The most active scholars publishing in Small GTPases are Michael F. Olson, Channing J. Der, Adrienne D. Cox, Anne J. Ridley, Linda Julian, Raquel Brandão Haga, Christopher Tricarico, James Clancy, Crislyn D’Souza‐Schorey and Xosé R. Bustelo.
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.