Danièle Taras
About
In The Last Decade
Danièle Taras
9 papers receiving 554 citations
Peers
Comparison fields: 5 of 70
- Molecular Biology 359
- Cancer Research 179
- Oncology 130
- Hematology 61
- Cell Biology 56
Countries citing papers authored by Danièle Taras
This map shows the geographic impact of Danièle Taras'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 Danièle Taras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danièle Taras more than expected).
Fields of papers citing papers by Danièle Taras
This network shows the impact of papers produced by Danièle Taras. 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 Danièle Taras. The network helps show where Danièle Taras may publish in the future.
Co-authorship network of co-authors of Danièle Taras
This figure shows the co-authorship network connecting the top 25 collaborators of Danièle Taras. A scholar is included among the top collaborators of Danièle Taras 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 Danièle Taras. Danièle Taras 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 | 46 | |
| 3 | 54 | |
| 4 | 82 | |
| 5 | 90 | |
| 6 | 54 | |
| 7 | 144 | |
| 8 | 54 | |
| 9 | 33 |
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.