Cansu Subaşı
About
In The Last Decade
Cansu Subaşı
28 papers receiving 724 citations
Peers
Comparison fields: 5 of 72
- Genetics 365
- Surgery 285
- Molecular Biology 210
- Radiology, Nuclear Medicine and Imaging 108
- Public Health, Environmental and Occupational Health 84
Countries citing papers authored by Cansu Subaşı
This map shows the geographic impact of Cansu Subaşı'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 Cansu Subaşı with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cansu Subaşı more than expected).
Fields of papers citing papers by Cansu Subaşı
This network shows the impact of papers produced by Cansu Subaşı. 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 Cansu Subaşı. The network helps show where Cansu Subaşı may publish in the future.
Co-authorship network of co-authors of Cansu Subaşı
This figure shows the co-authorship network connecting the top 25 collaborators of Cansu Subaşı. A scholar is included among the top collaborators of Cansu Subaşı 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 Cansu Subaşı. Cansu Subaşı 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 | Mesenchymal stem cells derived from epicardial adipose tissue reverse cardiac remodeling in a rabbit model of myocardial infarction | 5 |
| 3 | 3 | |
| 4 | 3 | |
| 5 | The distribution of CD44+/CD24- cancer stem cells in breast cancer and its relationship with prognostic factors. | 6 |
| 6 | 15 | |
| 7 | 36 | |
| 8 | 31 | |
| 9 | 5 | |
| 10 | 47 | |
| 11 | 8 | |
| 12 | 24 | |
| 13 | 29 | |
| 14 | 70 | |
| 15 | 23 | |
| 16 | 81 | |
| 17 | 9 | |
| 18 | 12 | |
| 19 | 71 | |
| 20 | 37 |
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.