Keiji Wada
- Molecular Biology top 0.2%
- Cellular and Molecular Neuroscience top 0.05%
- Physiology top 0.5%
- Neurology top 0.2%
- Neurology top 0.5%
- Co-authors
- Etsuko WadaKohichi TanakaTomohiro KabutaMasayuki SekiguchiMasahiko WatanabeSteve HeinemannJim PatrickRieko Setsuie
- Topics
- Neuroscience and Neuropharmacology Research (61 papers)Neuropeptides and Animal Physiology (50 papers)Ubiquitin and proteasome pathways (35 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Keiji Wada
375 papers receiving 18.4k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Molecular Biology 9.9k
- Cellular and Molecular Neuroscience 8.0k
- Physiology 2.3k
- Neurology 2.0k
- Neurology 1.8k
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 of co-authors of Keiji Wada
This figure shows the co-authorship network connecting the top 25 collaborators of Keiji Wada. A scholar is included among the top collaborators of Keiji Wada 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 Keiji Wada. Keiji Wada 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 | 3 | |
| 3 | 45 | |
| 4 | 73 | |
| 5 | 21 | |
| 6 | 40 | |
| 7 | 3 | |
| 8 | 29 | |
| 9 | 48 | |
| 10 | 51 | |
| 11 | 8 | |
| 12 | 181 | |
| 13 | 45 | |
| 14 | 344 | |
| 15 | Inductive Effects of Olive Leaf and Its Component Oleuropein on the Mouse Liver Glutathione S-Transferases | 1 |
| 16 | 9 | |
| 17 | 24 | |
| 18 | 151 | |
| 19 | 1 | |
| 20 | Acetylcholine receptor in rabbit thymus: antigenic similarity between acetylcholine receptors of muscle and thymus. | 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) and Ubiquitin and proteasome pathways (35 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.