Akihiko Taguchi
- Molecular Biology top 5%
- Neurology top 0.5%
- Clinical Biochemistry top 0.1%
- Genetics top 0.5%
- Developmental Neuroscience top 0.2%
- Co-authors
- David M. SternTomohiro MatsuyamaToshihiro SomaHidekazu TanakaHiroo YoshikawaTakayuki NakagomiHiroaki NaritomiM. Hofmann
- Topics
- Mesenchymal stem cell research (32 papers)Neuroinflammation and Neurodegeneration Mechanisms (24 papers)Neurogenesis and neuroplasticity mechanisms (23 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Akihiko Taguchi
112 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Molecular Biology 2.3k
- Neurology 1.6k
- Clinical Biochemistry 1.5k
- Genetics 1.4k
- Developmental Neuroscience 1.2k
Countries citing papers authored by Akihiko Taguchi
This map shows the geographic impact of Akihiko Taguchi'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 Akihiko Taguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akihiko Taguchi more than expected).
Fields of papers citing papers by Akihiko Taguchi
This network shows the impact of papers produced by Akihiko Taguchi. 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 Akihiko Taguchi. The network helps show where Akihiko Taguchi may publish in the future.
Co-authorship network of co-authors of Akihiko Taguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Akihiko Taguchi. A scholar is included among the top collaborators of Akihiko Taguchi 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 Akihiko Taguchi. Akihiko Taguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 認知的に正常な高齢者における脳アミロイドβと末梢リンパ球の相互作用【Powered by NICT】 | 0 |
| 7 | 24 | |
| 8 | 84 | |
| 9 | 32 | |
| 10 | 88 | |
| 11 | 63 | |
| 12 | 109 | |
| 13 | 20 | |
| 14 | 39 | |
| 15 | Administration of CD34+ cells after stroke enhances neurogenesis via angiogenesisin a mouse modelbreakdown → | 566 |
| 16 | 25 | |
| 17 | 399 | |
| 18 | Blockade of RAGE–amphoterin signalling suppresses tumour growth and metastasesbreakdown → | 1058 |
| 19 | 31 | |
| 20 | 50 |
About Akihiko Taguchi
Akihiko Taguchi is a scholar working on Developmental Neuroscience, Neurology and Genetics, having authored 115 papers that have together received 6.8k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (32 papers), Neuroinflammation and Neurodegeneration Mechanisms (24 papers) and Neurogenesis and neuroplasticity mechanisms (23 papers). The work is most often cited by research in Developmental Neuroscience (1.2k citations), Clinical Biochemistry (1.5k citations) and Neurology (1.6k citations). Akihiko Taguchi has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include David M. Stern, Tomohiro Matsuyama, Toshihiro Soma, Hidekazu Tanaka, Hiroo Yoshikawa, Takayuki Nakagomi, Hiroaki Naritomi, M. Hofmann, Nozomu Tanji and Ann Marie Schmidt. Their work appears in journals such as Nature, Circulation and Journal of Clinical Investigation.
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.