Masahiko Takada
- Cellular and Molecular Neuroscience top 0.1%
- Neuroscience and Neuropharmacology Research 97
- Neurotransmitter Receptor Influence on Behavior 28
- Nerve injury and regeneration 21
- Cognitive Neuroscience top 0.2%
- Neural dynamics and brain function 54
- Memory and Neural Mechanisms 24
- Neurology top 0.2%
- Neurological disorders and treatments 65
- Parkinson's Disease Mechanisms and Treatments 27
- Transcranial Magnetic Stimulation Studies 23
- Neurology top 0.2%
- Neurological disorders and treatments 65
- Parkinson's Disease Mechanisms and Treatments 27
- Transcranial Magnetic Stimulation Studies 23
- Endocrine and Autonomic Systems top 0.5%
Masahiko Takada
422 papers receiving 13.6k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Cellular and Molecular Neuroscience 6.7k
- Cognitive Neuroscience 4.5k
- Neurology 3.3k
- Neurology 1.6k
- Endocrine and Autonomic Systems 923
Countries citing papers authored by Masahiko Takada
This map shows the geographic impact of Masahiko Takada'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 Masahiko Takada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masahiko Takada more than expected).
Fields of papers citing papers by Masahiko Takada
This network shows the impact of papers produced by Masahiko Takada. 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 Masahiko Takada. The network helps show where Masahiko Takada may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masahiko Takada, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 18 | |
| 7 | 2023 | 51 | |
| 8 | 2023 | 24 | |
| 9 | 2022 | 12 | |
| 10 | 2020 | 30 | |
| 11 | 2017 | 20 | |
| 12 | 2012 | 4 | |
| 13 | 2011 | 26 | |
| 14 | 2010 | 76 | |
| 15 | 2007 | 71 | |
| 16 | 1999 | 3 | |
| 17 | BILATERAL PROJECTIONS OF SINGLE RETINAL GANGLION-CELLS IN THE MONKEY AND CAT | 1993 | 1 |
| 18 | 1989 | 1 | |
| 19 | 1900 cases of transrectal ultrasonotomography of the prostate : assessment of volume and characteristic findings in prostatic disease | 1985 | 1 |
| 20 | 1983 | 2 |
About Masahiko Takada
Masahiko Takada is a scholar working on Cellular and Molecular Neuroscience, Neurology and Neurology, having authored 436 papers that have together received 14.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (97 papers), Neurological disorders and treatments (65 papers), Neural dynamics and brain function (54 papers), Neurotransmitter Receptor Influence on Behavior (28 papers), Parkinson's Disease Mechanisms and Treatments (27 papers), Memory and Neural Mechanisms (24 papers), Transcranial Magnetic Stimulation Studies (23 papers) and Nerve injury and regeneration (21 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (6.7k citations), Cognitive Neuroscience (4.5k citations) and Neurology (3.3k citations). Masahiko Takada has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Atsushi Nambu, Hironobu Tokuno, Noboru Mizuno, Masahiko Inase, T. Hattori, Shôzô Miyazaki, Ryuichi Shigemoto, Ken‐ichi Inoue, Yoshikazu Isomura and Yasuhide Shinonaga. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature 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.