Masayuki Nitta

92 papers and 3.6k indexed citations i.

About

Masayuki Nitta is a scholar working on Genetics, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Masayuki Nitta has authored 92 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Genetics, 23 papers in Epidemiology and 22 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Masayuki Nitta’s work include Glioma Diagnosis and Treatment (53 papers), Meningioma and schwannoma management (22 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Masayuki Nitta is often cited by papers focused on Glioma Diagnosis and Treatment (53 papers), Meningioma and schwannoma management (22 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Masayuki Nitta collaborates with scholars based in Japan, United States and Czechia. Masayuki Nitta's co-authors include Hideyuki Saya, Takeshi Fujiwara, Roderick T. Bronson, David Pellman, Elena Ivanova, Madhavi Bandi, Tomotoshi Marumoto, Toru Hirota, Yoshihiro Muragaki and Takashi Maruyama 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 Masayuki Nitta i

Fields of papers citing papers by Masayuki Nitta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Masayuki Nitta

Since Specialization
Citations

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