Takuro Uchida
About
In The Last Decade
Takuro Uchida
36 papers receiving 445 citations
Peers
Comparison fields: 5 of 63
- Epidemiology 258
- Hepatology 246
- Infectious Diseases 116
- Molecular Biology 70
- Immunology 56
Countries citing papers authored by Takuro Uchida
This map shows the geographic impact of Takuro Uchida'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 Takuro Uchida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuro Uchida more than expected).
Fields of papers citing papers by Takuro Uchida
This network shows the impact of papers produced by Takuro Uchida. 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 Takuro Uchida. The network helps show where Takuro Uchida may publish in the future.
Co-authorship network of co-authors of Takuro Uchida
This figure shows the co-authorship network connecting the top 25 collaborators of Takuro Uchida. A scholar is included among the top collaborators of Takuro Uchida 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 Takuro Uchida. Takuro Uchida 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 | 1 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 14 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 10 | |
| 9 | 17 | |
| 10 | 7 | |
| 11 | 33 | |
| 12 | 10 | |
| 13 | 9 | |
| 14 | 15 | |
| 15 | 8 | |
| 16 | 21 | |
| 17 | 19 | |
| 18 | 25 | |
| 19 | 7 | |
| 20 | 15 |
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.