Hiroshi Mizuma
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Neurology top 10%
- Co-authors
- Yasuyoshi WatanabeHirotaka OnoeTakuya HayashiTsuyoshi TaharaKeisuke OkitaDaisuke DoiSayuki TakaraJun Takahashi
- Topics
- Neuroscience and Neuropharmacology Research (6 papers)Medical Imaging Techniques and Applications (5 papers)Neuroinflammation and Neurodegeneration Mechanisms (5 papers)
- Journals
- NatureProceedings of the National Academy of SciencesAngewandte Chemie International Edition
- Partner nations
- JapanUnited StatesSweden
In The Last Decade
Hiroshi Mizuma
52 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 951
- Cellular and Molecular Neuroscience 553
- Physiology 268
- Radiology, Nuclear Medicine and Imaging 181
- Neurology 168
Countries citing papers authored by Hiroshi Mizuma
This map shows the geographic impact of Hiroshi Mizuma'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 Hiroshi Mizuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Mizuma more than expected).
Fields of papers citing papers by Hiroshi Mizuma
This network shows the impact of papers produced by Hiroshi Mizuma. 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 Hiroshi Mizuma. The network helps show where Hiroshi Mizuma may publish in the future.
Co-authorship network of co-authors of Hiroshi Mizuma
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Mizuma. A scholar is included among the top collaborators of Hiroshi Mizuma 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 Hiroshi Mizuma. Hiroshi Mizuma 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 | 4 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 30 | |
| 7 | 1 | |
| 8 | 183 | |
| 9 | Human iPS cell-derived dopaminergic neurons function in a primate Parkinson’s disease modelbreakdown → | 488 |
| 10 | 11 | |
| 11 | 6 | |
| 12 | 12 | |
| 13 | 48 | |
| 14 | 31 | |
| 15 | 28 | |
| 16 | New Labeling Method of Biomolecules via Rapid Azaelectrocyclization : Application to PET Imaging | 1 |
| 17 | 69 | |
| 18 | 106 | |
| 19 | 4 | |
| 20 | 36 |
About Hiroshi Mizuma
Hiroshi Mizuma is a scholar working on Virology, Neurology and Aging, having authored 54 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Medical Imaging Techniques and Applications (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). The work is most often cited by research in Developmental Neuroscience (132 citations), Cellular and Molecular Neuroscience (553 citations) and Biological Psychiatry (66 citations). Hiroshi Mizuma has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Yasuyoshi Watanabe, Hirotaka Onoe, Takuya Hayashi, Tsuyoshi Tahara, Keisuke Okita, Daisuke Doi, Sayuki Takara, Jun Takahashi, Asuka Morizane and Tetsuhiro Kikuchi. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Angewandte Chemie International Edition.
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.