This map shows the geographic impact of research published in Human 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 Human Cell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Human Cell more than expected).
This network shows the impact of papers published in Human 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 Human Cell.
About Human Cell
The 1.3k papers published in Human Cell in the last decades have received a total of 14.6k indexed citations . Papers published in Human Cell usually cover Cancer Research (393 papers), Genetics (117 papers), Molecular Biology (730 papers), Oncology (248 papers) and Reproductive Medicine (50 papers) specifically the topics of Cancer-related molecular mechanisms research (200 papers), MicroRNA in disease regulation (184 papers), Circular RNAs in diseases (142 papers), RNA modifications and cancer (130 papers), Mesenchymal stem cell research (96 papers), Sarcoma Diagnosis and Treatment (77 papers), Cancer Cells and Metastasis (77 papers) and Pluripotent Stem Cells Research (64 papers). The most active scholars publishing in Human Cell are Masato Nishida, Ashim Gupta, Isamu Ishiwata, Shivaji Kashte, Saadiq F. El‐Amin, Arvind Gulbake, Aloysious Aravinthan, Kaoru Yanagida, Li Xiao and Yukio Nakamura.
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.