Oana Ursu
About
In The Last Decade
Oana Ursu
13 papers receiving 688 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 604
- Genetics 142
- Plant Science 85
- Cancer Research 66
- Immunology 46
Countries citing papers authored by Oana Ursu
This map shows the geographic impact of Oana Ursu'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 Oana Ursu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oana Ursu more than expected).
Fields of papers citing papers by Oana Ursu
This network shows the impact of papers produced by Oana Ursu. 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 Oana Ursu. The network helps show where Oana Ursu may publish in the future.
Co-authorship network of co-authors of Oana Ursu
This figure shows the co-authorship network connecting the top 25 collaborators of Oana Ursu. A scholar is included among the top collaborators of Oana Ursu 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 Oana Ursu. Oana Ursu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 96 | |
| 3 | 68 | |
| 4 | 211 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | Unsupervised Learning from Noisy Networks with Applications to Hi-C Data | 3 |
| 8 | 212 | |
| 9 | 14 | |
| 10 | 36 | |
| 11 | 1 | |
| 12 | 16 | |
| 13 | 19 |
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.