Motoki Takagi
About
In The Last Decade
Motoki Takagi
177 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 144
- Molecular Biology 2.8k
- Pharmacology 1.8k
- Biotechnology 858
- Organic Chemistry 746
- Plant Science 337
Countries citing papers authored by Motoki Takagi
This map shows the geographic impact of Motoki Takagi'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 Motoki Takagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Motoki Takagi more than expected).
Fields of papers citing papers by Motoki Takagi
This network shows the impact of papers produced by Motoki Takagi. 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 Motoki Takagi. The network helps show where Motoki Takagi may publish in the future.
Co-authorship network of co-authors of Motoki Takagi
This figure shows the co-authorship network connecting the top 25 collaborators of Motoki Takagi. A scholar is included among the top collaborators of Motoki Takagi 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 Motoki Takagi. Motoki Takagi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 35 | |
| 9 | 2 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 10 | |
| 13 | 39 | |
| 14 | 1 | |
| 15 | Total Synthesis of Largazole and Its Biological Evaluation | 2 |
| 16 | 30 | |
| 17 | 13 | |
| 18 | Reinforcement Learning for POMDP Using State Classification. | 1 |
| 19 | Knowledge-based recurrent neural networks in Reinforcement Learning | 3 |
| 20 | 1 |
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.