This map shows the geographic impact of research published in Bioprinting. 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 Bioprinting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bioprinting more than expected).
This network shows the impact of papers published in Bioprinting. 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 Bioprinting.
About Bioprinting
The 420 papers published in Bioprinting in the last decades have received a total of 9.8k indexed citations . Papers published in Bioprinting usually cover Automotive Engineering (236 papers), Biomedical Engineering (395 papers), Biomaterials (66 papers), Biophysics (15 papers) and Cell Biology (26 papers) specifically the topics of 3D Printing in Biomedical Research (334 papers), Additive Manufacturing and 3D Printing Technologies (236 papers), Bone Tissue Engineering Materials (124 papers), Innovative Microfluidic and Catalytic Techniques Innovation (118 papers), Electrospun Nanofibers in Biomedical Applications (39 papers), Tissue Engineering and Regenerative Medicine (31 papers), Cellular Mechanics and Interactions (26 papers) and Pluripotent Stem Cells Research (18 papers). The most active scholars publishing in Bioprinting are Sanjairaj Vijayavenkataraman, Barry J. Doyle, Daniel Chen, Ali Zamanian, Paul Gatenholm, Savaş Taşoğlu, Héctor Martínez Ávila, Nicole Rotter, Silke Schwarz and Minna Kellomäki.
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.