Inflammation and Regeneration

535 papers and 8.3k indexed citations i.

About

The 535 papers published in Inflammation and Regeneration in the last decades have received a total of 8.3k indexed citations. Papers published in Inflammation and Regeneration usually cover Molecular Biology (220 papers), Immunology (114 papers) and Surgery (90 papers) specifically the topics of Mesenchymal stem cell research (65 papers), Tissue Engineering and Regenerative Medicine (36 papers) and Pluripotent Stem Cells Research (36 papers). The most active scholars publishing in Inflammation and Regeneration are Yoshiya Tanaka, Kiyoshi Takeda, Ryu Okumura, Naoko Ohtani, Mie Kurata, Junya Masumoto, Shinnosuke Morikawa, Naoe Kaneko, Toshihiro Yamamoto and Tomoki Nakashima.

In The Last Decade

Fields of papers published in Inflammation and Regeneration

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Inflammation and Regeneration. 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 Inflammation and Regeneration.

Countries where authors publish in Inflammation and Regeneration

Since Specialization
Citations

This map shows the geographic impact of research published in Inflammation and Regeneration. 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 Inflammation and Regeneration with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inflammation and Regeneration 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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2025