Akiko Kukita

83 papers and 3.0k indexed citations i.

About

Akiko Kukita is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Akiko Kukita has authored 83 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 42 papers in Oncology and 12 papers in Cancer Research. Recurrent topics in Akiko Kukita’s work include Bone Metabolism and Diseases (51 papers), Bone health and treatments (37 papers) and Cell Adhesion Molecules Research (10 papers). Akiko Kukita is often cited by papers focused on Bone Metabolism and Diseases (51 papers), Bone health and treatments (37 papers) and Cell Adhesion Molecules Research (10 papers). Akiko Kukita collaborates with scholars based in Japan, United States and Germany. Akiko Kukita's co-authors include Toshio Kukita, Osamu Kohashi, Kengo Nagata, Hisayuki Nomiyama, Tadahiko Iijima, G. David Roodman, Yasuyoshi Ohsaki, Takeo Shobuike, Kojiro Kurisu and Takao Hotokebuchi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Co-authorship network of co-authors of Akiko Kukita i

Fields of papers citing papers by Akiko Kukita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Akiko Kukita

Since Specialization
Citations

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