Countries where authors publish in APL Bioengineering
Since Specialization
Citations
This map shows the geographic impact of research published in APL Bioengineering. 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 APL Bioengineering with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites APL Bioengineering more than expected).
This network shows the impact of papers published in APL Bioengineering. 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 APL Bioengineering.
About APL Bioengineering
The 484 papers published in APL Bioengineering in the last decades have received a total of 7.8k indexed citations . Papers published in APL Bioengineering usually cover Cell Biology (106 papers), Biomedical Engineering (233 papers), Biophysics (23 papers), Biomaterials (46 papers) and Immunology and Allergy (19 papers) specifically the topics of 3D Printing in Biomedical Research (125 papers), Cellular Mechanics and Interactions (90 papers), Cancer Cells and Metastasis (41 papers), Microfluidic and Bio-sensing Technologies (40 papers), Neuroscience and Neural Engineering (37 papers), Tissue Engineering and Regenerative Medicine (30 papers), Electrospun Nanofibers in Biomedical Applications (28 papers) and Pluripotent Stem Cells Research (22 papers). The most active scholars publishing in APL Bioengineering are Megan E. Cooke, Derek H. Rosenzweig, Gianni Ciofani, Chiara Martinelli, Carlotta Pucci, Alberto Redaelli, Ben M. Maoz, Emilio Parisini, Alfonso Gautieri and Federica Rigoldi.
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.