Tissue Engineering Part A

3.3k papers and 124.5k indexed citations i.

About

The 3.3k papers published in Tissue Engineering Part A in the last decades have received a total of 124.5k indexed citations. Papers published in Tissue Engineering Part A usually cover Surgery (1.5k papers), Biomedical Engineering (1.1k papers) and Biomaterials (1.0k papers) specifically the topics of Tissue Engineering and Regenerative Medicine (919 papers), Electrospun Nanofibers in Biomedical Applications (774 papers) and Mesenchymal stem cell research (746 papers). The most active scholars publishing in Tissue Engineering Part A are Jason A. Burdick, Stephen F. Badylak, Rocky S. Tuan, Robert L. Mauck, Arnold I. Caplan, Gordana Vunjak‐Novakovic, Farshid Guilak, Cindy Chung, Wouter J.A. Dhert and Fergal J. O’Brien.

In The Last Decade

Fields of papers published in Tissue Engineering Part A

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Tissue Engineering Part A

Since Specialization
Citations

This map shows the geographic impact of research published in Tissue Engineering Part A. 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 Part A 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 Part A 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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