Tania Puscas
About
In The Last Decade
Tania Puscas
12 papers receiving 48 citations
Peers
Comparison fields: 5 of 21
- Cardiology and Cardiovascular Medicine 29
- Molecular Biology 16
- Surgery 13
- Epidemiology 8
- Pulmonary and Respiratory Medicine 4
Countries citing papers authored by Tania Puscas
This map shows the geographic impact of Tania Puscas'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 Tania Puscas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tania Puscas more than expected).
Fields of papers citing papers by Tania Puscas
This network shows the impact of papers produced by Tania Puscas. 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 Tania Puscas. The network helps show where Tania Puscas may publish in the future.
Co-authorship network of co-authors of Tania Puscas
This figure shows the co-authorship network connecting the top 25 collaborators of Tania Puscas. A scholar is included among the top collaborators of Tania Puscas 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 Tania Puscas. Tania Puscas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 15 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 0 | |
| 12 | 5 | |
| 13 | 4 | |
| 14 | 8 |
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.