Takashi Obinata
About
In The Last Decade
Takashi Obinata
9 papers receiving 374 citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 210
- Cell Biology 176
- Cardiology and Cardiovascular Medicine 73
- Cellular and Molecular Neuroscience 45
- Aquatic Science 38
Countries citing papers authored by Takashi Obinata
This map shows the geographic impact of Takashi Obinata'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 Takashi Obinata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Obinata more than expected).
Fields of papers citing papers by Takashi Obinata
This network shows the impact of papers produced by Takashi Obinata. 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 Takashi Obinata. The network helps show where Takashi Obinata may publish in the future.
Co-authorship network of co-authors of Takashi Obinata
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Obinata. A scholar is included among the top collaborators of Takashi Obinata 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 Takashi Obinata. Takashi Obinata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 28 | |
| 3 | 10 | |
| 4 | 5 | |
| 5 | 9 | |
| 6 | 81 | |
| 7 | 76 | |
| 8 | 60 | |
| 9 | 88 |
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.