Journal of Tissue Engineering

510 papers and 14.2k indexed citations i.

About

The 510 papers published in Journal of Tissue Engineering in the last decades have received a total of 14.2k indexed citations. Papers published in Journal of Tissue Engineering usually cover Biomedical Engineering (221 papers), Surgery (190 papers) and Biomaterials (130 papers) specifically the topics of 3D Printing in Biomedical Research (118 papers), Bone Tissue Engineering Materials (114 papers) and Tissue Engineering and Regenerative Medicine (108 papers). The most active scholars publishing in Journal of Tissue Engineering are Hae‐Won Kim, Jonathan C. Knowles, Jung‐Hwan Lee, Matthew J. Dalby, Román A. Pérez, Ram I. Sharma, Hansoo Park, Sureerat Khunmanee, Rajendra K. Singh and Nadia Benkirane-Jessel.

In The Last Decade

Fields of papers published in Journal of Tissue Engineering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of 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 Journal of Tissue Engineering.

Countries where authors publish in Journal of Tissue Engineering

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of 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 Journal of 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 Journal of Tissue Engineering more than expected).

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.

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