This map shows the geographic impact of research published in Cell Division. 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 Cell Division with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cell Division more than expected).
This network shows the impact of papers published in Cell Division. 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 Cell Division.
About Cell Division
The 297 papers published in Cell Division in the last decades have received a total of 9.8k indexed citations . Papers published in Cell Division usually cover Cell Biology (91 papers), Molecular Biology (161 papers), Oncology (59 papers), Cancer Research (21 papers) and Aging (2 papers) specifically the topics of Microtubule and mitosis dynamics (82 papers), Cancer-related Molecular Pathways (52 papers), Ubiquitin and proteasome pathways (47 papers), DNA Repair Mechanisms (33 papers), Epigenetics and DNA Methylation (24 papers), Genomics and Chromatin Dynamics (21 papers), Fungal and yeast genetics research (17 papers) and Cancer-related molecular mechanisms research (9 papers). The most active scholars publishing in Cell Division are Jorrit M. Enserink, Gaurisankar Sa, Frederick A. Dick, Richard D. Kolodner, Tanya Das, Edward T. Kipreos, Jiří Kohoutek, Mary Dasso, Masatoshi Fujita and Giulia Rancati.
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.