Maki Ito

11 papers and 383 indexed citations i.

About

Maki Ito is a scholar working on Immunology, Hematology and Molecular Biology. According to data from OpenAlex, Maki Ito has authored 11 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 4 papers in Hematology and 2 papers in Molecular Biology. Recurrent topics in Maki Ito’s work include Hematopoietic Stem Cell Transplantation (4 papers), T-cell and B-cell Immunology (3 papers) and Immune Cell Function and Interaction (3 papers). Maki Ito is often cited by papers focused on Hematopoietic Stem Cell Transplantation (4 papers), T-cell and B-cell Immunology (3 papers) and Immune Cell Function and Interaction (3 papers). Maki Ito collaborates with scholars based in Japan, United States and China. Maki Ito's co-authors include Judith A. Shizuru, Michael R. Verneris, Jeanette Baker, Robert S. Negrin, Jeanette Baker, Robert S. Negrin, Arash Arshi, Hiroshi Hara, Mahito Misawa and Yokiko Ohe and has published in prestigious journals such as Blood, Stem Cells and British Journal of Haematology.

In The Last Decade

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

Fields of papers citing papers by Maki Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maki Ito

Since Specialization
Citations

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