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 1.8k papers published in Tissue Engineering in the last decades have received a total of 120.4k indexed citations . Papers published in Tissue Engineering usually cover Urology (265 papers), Biomaterials (606 papers), Genetics (272 papers), Rheumatology (371 papers) and Surgery (813 papers) specifically the topics of Tissue Engineering and Regenerative Medicine (442 papers), Electrospun Nanofibers in Biomedical Applications (410 papers), Bone Tissue Engineering Materials (355 papers), Osteoarthritis Treatment and Mechanisms (328 papers), 3D Printing in Biomedical Research (287 papers), Mesenchymal stem cell research (271 papers), Periodontal Regeneration and Treatments (244 papers) and Knee injuries and reconstruction techniques (144 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, Min Zhu, Yasuhiko Tabata 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.