Kenichi Tamama

45 papers and 2.6k indexed citations i.

About

Kenichi Tamama is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Kenichi Tamama has authored 45 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Genetics and 14 papers in Surgery. Recurrent topics in Kenichi Tamama’s work include Mesenchymal stem cell research (15 papers), Tissue Engineering and Regenerative Medicine (8 papers) and Sphingolipid Metabolism and Signaling (8 papers). Kenichi Tamama is often cited by papers focused on Mesenchymal stem cell research (15 papers), Tissue Engineering and Regenerative Medicine (8 papers) and Sphingolipid Metabolism and Signaling (8 papers). Kenichi Tamama collaborates with scholars based in United States, Japan and China. Kenichi Tamama's co-authors include Alan Wells, Fumikazu Okajima, Takao Kimura, Atsushi Kuwabara, Jianjun Guan, Hideaki Tomura, Kōichi Sato, Chandan K. Sen, Linda G. Griffith and Haruhisa Kawasaki and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Co-authorship network of co-authors of Kenichi Tamama i

Fields of papers citing papers by Kenichi Tamama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenichi Tamama. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kenichi Tamama. The network helps show where Kenichi Tamama may publish in the future.

Countries citing papers authored by Kenichi Tamama

Since Specialization
Citations

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