Mamiko Noda

8 papers and 2.1k indexed citations i.

About

Mamiko Noda is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Mamiko Noda has authored 8 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Mamiko Noda’s work include Chemokine receptors and signaling (5 papers), T-cell and B-cell Immunology (2 papers) and Immunotherapy and Immune Responses (2 papers). Mamiko Noda is often cited by papers focused on Chemokine receptors and signaling (5 papers), T-cell and B-cell Immunology (2 papers) and Immunotherapy and Immune Responses (2 papers). Mamiko Noda collaborates with scholars based in Japan, United Kingdom and United States. Mamiko Noda's co-authors include Takashi Nagasawa, Tatsuki Sugiyama, Hiroshi Kohara, Nobutaka Fujii, Yoshiki Omatsu, Martin Turner, Michelle L. Janas, Kristjan S. Gudmundsson, Gabriele Varano and Shinya Oishi and has published in prestigious journals such as Nucleic Acids Research, The Journal of Experimental Medicine and Blood.

In The Last Decade

Co-authorship network of co-authors of Mamiko Noda i

Fields of papers citing papers by Mamiko Noda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mamiko Noda

Since Specialization
Citations

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