Tetsuya Nomura
About
In The Last Decade
Tetsuya Nomura
104 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 703
- Surgery 566
- Immunology 338
- Epidemiology 206
- Cardiology and Cardiovascular Medicine 196
Countries citing papers authored by Tetsuya Nomura
This map shows the geographic impact of Tetsuya Nomura'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 Tetsuya Nomura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuya Nomura more than expected).
Fields of papers citing papers by Tetsuya Nomura
This network shows the impact of papers produced by Tetsuya Nomura. 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 Tetsuya Nomura. The network helps show where Tetsuya Nomura may publish in the future.
Co-authorship network of co-authors of Tetsuya Nomura
This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Nomura. A scholar is included among the top collaborators of Tetsuya Nomura 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 Tetsuya Nomura. Tetsuya Nomura 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 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 51 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 11 | |
| 15 | 7 | |
| 16 | 24 | |
| 17 | 5 | |
| 18 | 31 | |
| 19 | 3 | |
| 20 | [A case of abdominal aortic pseudoaneurysm due to Salmonella enteritidis septicemia]. | 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.