Masayuki Nitta
- Cell Biology top 0.5%
- Microtubule and mitosis dynamics 9
- Genetics top 1%
- Glioma Diagnosis and Treatment 53
- Oncology top 5%
- Cancer-related Molecular Pathways 9
- Cancer Research top 5%
- Molecular Biology top 5%
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- Meningioma and schwannoma management 22
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- Radiomics and Machine Learning in Medical Imaging 11
- Advanced Neuroimaging Techniques and Applications 8
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- Photodynamic Therapy Research Studies 9
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- Nanoplatforms for cancer theranostics 8
- Co-authors
- Hideyuki SayaDavid PellmanRoderick T. BronsonElena V. IvanovaMadhavi BandiTakeshi FujiwaraToru HirotaTomotoshi Marumoto
- Cited by
- Cell BiologyGeneticsOncology
- Partner nations
- JapanUnited StatesCzechia
In The Last Decade
Masayuki Nitta
85 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Cell Biology 1.6k
- Genetics 734
- Oncology 950
- Cancer Research 444
- Molecular Biology 1.9k
Countries citing papers authored by Masayuki Nitta
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).
Fields of papers citing papers by Masayuki Nitta
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.
Co-authorship network
The 25 scholars most cited alongside Masayuki Nitta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2022 | 0 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 11 | |
| 6 | 2022 | 10 | |
| 7 | 2019 | 67 | |
| 8 | 2019 | 3 | |
| 9 | 2018 | 20 | |
| 10 | 2018 | 10 | |
| 11 | 2017 | 2 | |
| 12 | 2016 | 6 | |
| 13 | 2016 | 42 | |
| 14 | 2016 | 39 | |
| 15 | 2015 | 60 | |
| 16 | 2004 | 34 | |
| 17 | 2003 | 296 | |
| 18 | 2002 | 20 | |
| 19 | 2001 | 41 | |
| 20 | 2000 | 73 |
About Masayuki Nitta
Masayuki Nitta is a scholar working on Genetics, Structural Biology and Radiology, Nuclear Medicine and Imaging, having authored 94 papers that have together received 3.7k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (53 papers), Meningioma and schwannoma management (22 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Microtubule and mitosis dynamics (9 papers), Cancer-related Molecular Pathways (9 papers), Photodynamic Therapy Research Studies (9 papers), Nanoplatforms for cancer theranostics (8 papers) and Advanced Neuroimaging Techniques and Applications (8 papers). The work is most often cited by research in Cell Biology (1.6k citations), Genetics (734 citations) and Oncology (950 citations). Masayuki Nitta has collaborated with scholars based in Japan, United States and Czechia. Frequent co-authors include Hideyuki Saya, David Pellman, Roderick T. Bronson, Elena V. Ivanova, Madhavi Bandi, Takeshi Fujiwara, Toru Hirota, Tomotoshi Marumoto, Yoshihiro Muragaki and Takashi Maruyama. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.