Masayasu Minami
- Neurology top 2%
- Neurology top 1%
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Plant Science top 10%
- Co-authors
- Hirofumi InagakiToshiharu NagatsuMinoru HaradaMakio MogiPeter RiedererHirotaro NarabayashiH InagakiKohichi Kojima
- Topics
- Carcinogens and Genotoxicity Assessment (12 papers)Pesticide Exposure and Toxicity (11 papers)Immunotoxicology and immune responses (4 papers)
In The Last Decade
Masayasu Minami
65 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Neurology 737
- Neurology 605
- Cellular and Molecular Neuroscience 590
- Molecular Biology 507
- Plant Science 294
Countries citing papers authored by Masayasu Minami
This map shows the geographic impact of Masayasu Minami'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 Masayasu Minami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayasu Minami more than expected).
Fields of papers citing papers by Masayasu Minami
This network shows the impact of papers produced by Masayasu Minami. 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 Masayasu Minami. The network helps show where Masayasu Minami may publish in the future.
Co-authorship network of co-authors of Masayasu Minami
This figure shows the co-authorship network connecting the top 25 collaborators of Masayasu Minami. A scholar is included among the top collaborators of Masayasu Minami 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 Masayasu Minami. Masayasu Minami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 16 | |
| 3 | 8 | |
| 4 | 39 | |
| 5 | 15 | |
| 6 | 35 | |
| 7 | 36 | |
| 8 | [Flow cytometric analysis of helper T cell subsets (Th1 and Th2) in healthy adults]. | 2 |
| 9 | 14 | |
| 10 | 4 | |
| 11 | 9 | |
| 12 | 5 | |
| 13 | Interleukin-1β, interleukin-6, epidermal growth factor and transforming growth factor-α are elevated in the brain from parkinsonian patientsbreakdown → | 695 |
| 14 | 8 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 11 | |
| 19 | 2 | |
| 20 | The action of adrenochrome derivatives on skeletal muscle. | 0 |
About Masayasu Minami
Masayasu Minami is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis and Endocrine and Autonomic Systems, having authored 66 papers that have together received 2.2k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (12 papers), Pesticide Exposure and Toxicity (11 papers) and Immunotoxicology and immune responses (4 papers). The work is most often cited by research in Neurology (605 citations), Neurology (737 citations) and Cellular and Molecular Neuroscience (590 citations). Masayasu Minami has collaborated with scholars based in Japan, India and Pakistan. Frequent co-authors include Hirofumi Inagaki, Toshiharu Nagatsu, Minoru Harada, Makio Mogi, Peter Riederer, Hirotaro Narabayashi, H Inagaki, Kohichi Kojima, Jun-ichi Otogoto and Norio Ota. Their work appears in journals such as The Journal of Immunology, Biochemical Journal and Biochemical and Biophysical Research Communications.
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.