Mariko Noda
- Mechanical Engineering top 2%
- Electronic, Optical and Magnetic Materials top 5%
- Atomic and Molecular Physics, and Optics top 5%
- Immunology top 5%
- Molecular Biology
- Co-authors
- K. MohriK. BushidaT. UchiyamaAkio SuzumuraL.V. PaninaTetsuya MizunoYoshifumi SonobeЛ. В. Панина
- Topics
- Neuroinflammation and Neurodegeneration Mechanisms (11 papers)Magnetic properties of thin films (11 papers)Magnetic Properties and Applications (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- JapanUnited StatesRussia
In The Last Decade
Mariko Noda
64 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Mechanical Engineering 951
- Electronic, Optical and Magnetic Materials 857
- Atomic and Molecular Physics, and Optics 830
- Immunology 512
- Molecular Biology 511
Countries citing papers authored by Mariko Noda
This map shows the geographic impact of Mariko 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 Mariko Noda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariko Noda more than expected).
Fields of papers citing papers by Mariko Noda
This network shows the impact of papers produced by Mariko 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 Mariko Noda. The network helps show where Mariko Noda may publish in the future.
Co-authorship network of co-authors of Mariko Noda
This figure shows the co-authorship network connecting the top 25 collaborators of Mariko Noda. A scholar is included among the top collaborators of Mariko Noda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mariko Noda. Mariko Noda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 12 | |
| 6 | 12 | |
| 7 | 118 | |
| 8 | 28 | |
| 9 | 129 | |
| 10 | 123 | |
| 11 | 121 | |
| 12 | 47 | |
| 13 | 123 | |
| 14 | 45 | |
| 15 | 13 | |
| 16 | 11 | |
| 17 | 4 | |
| 18 | 19 | |
| 19 | 9 | |
| 20 | 2 |
About Mariko Noda
Mariko Noda is a scholar working on Neurology, Developmental Neuroscience and Electronic, Optical and Magnetic Materials, having authored 66 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Magnetic properties of thin films (11 papers) and Magnetic Properties and Applications (11 papers). The work is most often cited by research in Neurology (511 citations), Electronic, Optical and Magnetic Materials (857 citations) and Biological Psychiatry (99 citations). Mariko Noda has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include K. Mohri, K. Bushida, T. Uchiyama, Akio Suzumura, L.V. Panina, Tetsuya Mizuno, Yoshifumi Sonobe, Л. В. Панина, Hideyuki Takeuchi and Yukiko Doi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.