Masaki Noda

149 papers and 6.0k indexed citations i.

About

Masaki Noda is a scholar working on Molecular Biology, Oncology and Rheumatology. According to data from OpenAlex, Masaki Noda has authored 149 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Molecular Biology, 44 papers in Oncology and 29 papers in Rheumatology. Recurrent topics in Masaki Noda’s work include Bone Metabolism and Diseases (63 papers), Bone health and treatments (38 papers) and TGF-β signaling in diseases (27 papers). Masaki Noda is often cited by papers focused on Bone Metabolism and Diseases (63 papers), Bone health and treatments (38 papers) and TGF-β signaling in diseases (27 papers). Masaki Noda collaborates with scholars based in Japan, United States and France. Masaki Noda's co-authors include Akira Nifuji, Yoichi Ezura, Kunikazu Tsuji, Kazuhisa Nakashima, Gideon A. Rodan, Tadayoshi Hayata, Shu Takeda, Gérard Karsenty, Hisataka Kondo and William G. Richards and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

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

Fields of papers citing papers by Masaki Noda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Masaki Noda

Since Specialization
Citations

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