Yuji Takano
- Language and Linguistics top 1%
- Artificial Intelligence top 5%
- Molecular Biology
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- Naoki FukuiSueharu HorinouchiNaoyuki HironakaYasuo OhnishiSatoshi TanakaAkiko TanakaTomoko TanakaKazuto Kobayashi
- Topics
- Syntax, Semantics, Linguistic Variation (15 papers)Natural Language Processing Techniques (8 papers)Neuroendocrine regulation and behavior (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Molecular Biology
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Yuji Takano
73 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 128
- Language and Linguistics 386
- Artificial Intelligence 250
- Molecular Biology 234
- Cognitive Neuroscience 218
- Experimental and Cognitive Psychology 165
Countries citing papers authored by Yuji Takano
This map shows the geographic impact of Yuji Takano'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 Yuji Takano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuji Takano more than expected).
Fields of papers citing papers by Yuji Takano
This network shows the impact of papers produced by Yuji Takano. 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 Yuji Takano. The network helps show where Yuji Takano may publish in the future.
Co-authorship network of co-authors of Yuji Takano
This figure shows the co-authorship network connecting the top 25 collaborators of Yuji Takano. A scholar is included among the top collaborators of Yuji Takano 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 Yuji Takano. Yuji Takano 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 | 1 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 7 | |
| 7 | 12 | |
| 8 | 63 | |
| 9 | 15 | |
| 10 | 16 | |
| 11 | 1 | |
| 12 | 79 | |
| 13 | 41 | |
| 14 | 5 | |
| 15 | 32 | |
| 16 | 1 | |
| 17 | Predicate fronting and internal subjects | 39 |
| 18 | 6 | |
| 19 | 19 | |
| 20 | Extraction from Noun Phrases : Some Consequences of the DP Hypothesis and the Theory of Barrier | 1 |
About Yuji Takano
Yuji Takano is a scholar working on Language and Linguistics, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 80 papers that have together received 1.2k indexed citations. Recurring topics across this work include Syntax, Semantics, Linguistic Variation (15 papers), Natural Language Processing Techniques (8 papers) and Neuroendocrine regulation and behavior (6 papers). The work is most often cited by research in Language and Linguistics (386 citations), Neurology (164 citations) and Experimental and Cognitive Psychology (165 citations). Yuji Takano has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Naoki Fukui, Sueharu Horinouchi, Naoyuki Hironaka, Yasuo Ohnishi, Satoshi Tanaka, Akiko Tanaka, Tomoko Tanaka, Kazuto Kobayashi, Toshiki Saito and Kenji Suzuki. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Molecular Biology.
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.