Maki Takeda

35 papers and 640 indexed citations i.

About

Maki Takeda is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Maki Takeda has authored 35 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Surgery and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Maki Takeda’s work include Tissue Engineering and Regenerative Medicine (11 papers), Pluripotent Stem Cells Research (11 papers) and CRISPR and Genetic Engineering (4 papers). Maki Takeda is often cited by papers focused on Tissue Engineering and Regenerative Medicine (11 papers), Pluripotent Stem Cells Research (11 papers) and CRISPR and Genetic Engineering (4 papers). Maki Takeda collaborates with scholars based in Japan. Maki Takeda's co-authors include Emiko Ito, Shigeru Miyagawa, Yoshiki Sawa, Akima Harada, Hiroko Iseoka, Noriko Mochizuki‐Oda, Nopporn Apiwattanakul, Surawat Jariyawat, Hitoshi Endou and Takuya Sekine and has published in prestigious journals such as Circulation, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Co-authorship network of co-authors of Maki Takeda i

Fields of papers citing papers by Maki Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maki Takeda. 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 Maki Takeda. The network helps show where Maki Takeda may publish in the future.

Countries citing papers authored by Maki Takeda

Since Specialization
Citations

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