Keiji Wada
- Cellular and Molecular Neuroscience top 0.05%
- Neuroscience and Neuropharmacology Research 61
- Neuropeptides and Animal Physiology 50
- Genetic Neurodegenerative Diseases 22
- Developmental Neuroscience top 0.2%
- Neurology top 0.2%
- Parkinson's Disease Mechanisms and Treatments 24
- Endocrine and Autonomic Systems top 0.5%
- Molecular Biology top 0.2%
- Ubiquitin and proteasome pathways 35
- Receptor Mechanisms and Signaling 35
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- Neuroendocrine regulation and behavior 22
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- Ginkgo biloba and Cashew Applications 21
Keiji Wada
375 papers receiving 18.4k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Cellular and Molecular Neuroscience 8.0k
- Developmental Neuroscience 1.1k
- Neurology 2.0k
- Endocrine and Autonomic Systems 984
- Molecular Biology 9.9k
Countries citing papers authored by Keiji Wada
This map shows the geographic impact of Keiji Wada'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 Keiji Wada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiji Wada more than expected).
Fields of papers citing papers by Keiji Wada
This network shows the impact of papers produced by Keiji Wada. 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 Keiji Wada. The network helps show where Keiji Wada may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keiji Wada, 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 | 1 | |
| 2 | 2021 | 3 | |
| 3 | 2018 | 45 | |
| 4 | 2016 | 73 | |
| 5 | 2015 | 21 | |
| 6 | 2011 | 40 | |
| 7 | 2010 | 3 | |
| 8 | 2010 | 29 | |
| 9 | 2008 | 48 | |
| 10 | 2008 | 51 | |
| 11 | 2008 | 8 | |
| 12 | 2008 | 181 | |
| 13 | 2003 | 45 | |
| 14 | 2002 | 344 | |
| 15 | Inductive Effects of Olive Leaf and Its Component Oleuropein on the Mouse Liver Glutathione S-Transferases | 2001 | 1 |
| 16 | 1997 | 9 | |
| 17 | 1995 | 24 | |
| 18 | 1989 | 151 | |
| 19 | 1981 | 1 | |
| 20 | Acetylcholine receptor in rabbit thymus: antigenic similarity between acetylcholine receptors of muscle and thymus. | 1980 | 18 |
About Keiji Wada
Keiji Wada is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Developmental Neuroscience, having authored 379 papers that have together received 18.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (61 papers), Neuropeptides and Animal Physiology (50 papers), Ubiquitin and proteasome pathways (35 papers), Receptor Mechanisms and Signaling (35 papers), Parkinson's Disease Mechanisms and Treatments (24 papers), Genetic Neurodegenerative Diseases (22 papers), Neuroendocrine regulation and behavior (22 papers) and Ginkgo biloba and Cashew Applications (21 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (8.0k citations), Developmental Neuroscience (1.1k citations) and Neurology (2.0k citations). Keiji Wada has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Etsuko Wada, Kohichi Tanaka, Tomohiro Kabuta, Masayuki Sekiguchi, Masahiko Watanabe, Steve Heinemann, Jim Patrick, Rieko Setsuie, Shunsuke Aoki and Keiko Yamada. Their work appears in journals such as Nature, Science 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.