Ugo Testa
About
In The Last Decade
Ugo Testa
417 papers receiving 16.5k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Molecular Biology 8.7k
- Hematology 4.9k
- Immunology 3.7k
- Oncology 3.0k
- Cancer Research 2.7k
Countries citing papers authored by Ugo Testa
This map shows the geographic impact of Ugo Testa'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 Ugo Testa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ugo Testa more than expected).
Fields of papers citing papers by Ugo Testa
This network shows the impact of papers produced by Ugo Testa. 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 Ugo Testa. The network helps show where Ugo Testa may publish in the future.
Co-authorship network of co-authors of Ugo Testa
This figure shows the co-authorship network connecting the top 25 collaborators of Ugo Testa. A scholar is included among the top collaborators of Ugo Testa 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 Ugo Testa. Ugo Testa 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 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 14 | |
| 9 | 35 | |
| 10 | 3 | |
| 11 | 151 | |
| 12 | 139 | |
| 13 | 127 | |
| 14 | 148 | |
| 15 | ヒト造血始原細胞におけるEts‐1の過剰発現は赤芽球分化をブロックし,巨核球分化を促進する | 3 |
| 16 | 78 | |
| 17 | 26 | |
| 18 | 165 | |
| 19 | 7 | |
| 20 | Human erythrocyte glucose 6-phosphate dehydrogenase: structure and function in normal and mutant subjects. | 59 |
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.