Taira Wada
About
In The Last Decade
Taira Wada
34 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.1k
- Physiology 945
- Endocrine and Autonomic Systems 687
- Epidemiology 588
- Endocrinology, Diabetes and Metabolism 465
Countries citing papers authored by Taira Wada
This map shows the geographic impact of Taira 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 Taira Wada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taira Wada more than expected).
Fields of papers citing papers by Taira Wada
This network shows the impact of papers produced by Taira 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 Taira Wada. The network helps show where Taira Wada may publish in the future.
Co-authorship network of co-authors of Taira Wada
This figure shows the co-authorship network connecting the top 25 collaborators of Taira Wada. A scholar is included among the top collaborators of Taira 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 Taira Wada. Taira 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 | 24 | |
| 3 | 4 | |
| 4 | 15 | |
| 5 | 12 | |
| 6 | 70 | |
| 7 | 42 | |
| 8 | 36 | |
| 9 | 216 | |
| 10 | 165 | |
| 11 | 40 | |
| 12 | 200 | |
| 13 | 194 | |
| 14 | 130 | |
| 15 | 35 | |
| 16 | Hepatic Fatty Acid Transporter Cd36 Is a Common Target of LXR, PXR, and PPARγ in Promoting Steatosis breakdown → | 505 |
| 17 | 82 | |
| 18 | 24 | |
| 19 | 439 | |
| 20 | 69 |
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.