Countries where authors publish in Tissue Engineering
Since Specialization
Citations
This map shows the geographic impact of research published in Tissue Engineering. 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 Tissue Engineering with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tissue Engineering more than expected).
This network shows the impact of papers published in Tissue Engineering. 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 Tissue Engineering.
About Tissue Engineering
The 2.0k papers published in Tissue Engineering in the last decades have received a total of 135.0k indexed citations . Papers published in Tissue Engineering usually cover Biomaterials (697 papers), Urology (281 papers), Genetics (289 papers), Rheumatology (386 papers) and Surgery (903 papers) specifically the topics of Tissue Engineering and Regenerative Medicine (515 papers), Electrospun Nanofibers in Biomedical Applications (484 papers), Bone Tissue Engineering Materials (409 papers), 3D Printing in Biomedical Research (348 papers), Osteoarthritis Treatment and Mechanisms (339 papers), Mesenchymal stem cell research (288 papers), Periodontal Regeneration and Treatments (260 papers) and Silk-based biomaterials and applications (158 papers). The most active scholars publishing in Tissue Engineering are Antonios G. Mikos, Kyriacos A. Athanasiou, Arnold I. Caplan, Seeram Ramakrishna, Prosper Benhaim, Marc H. Hedrick, Patricia A. Zuk, Yasuhiko Tabata, Min Zhu and Jerry I. Huang.
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.