Akiko Fukunaga

28 papers and 477 indexed citations i.

About

Akiko Fukunaga is a scholar working on Pathology and Forensic Medicine, Immunology and Hematology. According to data from OpenAlex, Akiko Fukunaga has authored 28 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pathology and Forensic Medicine, 8 papers in Immunology and 8 papers in Hematology. Recurrent topics in Akiko Fukunaga’s work include Lymphoma Diagnosis and Treatment (6 papers), Hematopoietic Stem Cell Transplantation (4 papers) and Viral-associated cancers and disorders (4 papers). Akiko Fukunaga is often cited by papers focused on Lymphoma Diagnosis and Treatment (6 papers), Hematopoietic Stem Cell Transplantation (4 papers) and Viral-associated cancers and disorders (4 papers). Akiko Fukunaga collaborates with scholars based in Japan. Akiko Fukunaga's co-authors include Kumiko Sugimoto, J Satou, Hideaki Shintani, N Satou, K Okuda, Kazuhiko Nakano, Taro Misaki, Akira Morikawa, Nobuyoshi Arima and Shuhei Naka and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Dental Research.

In The Last Decade

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

Fields of papers citing papers by Akiko Fukunaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Akiko Fukunaga

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025