Gözde Ünsoy
About
In The Last Decade
Gözde Ünsoy
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 97
- Biomaterials 644
- Biomedical Engineering 441
- Molecular Biology 298
- Materials Chemistry 264
- Pharmaceutical Science 119
Countries citing papers authored by Gözde Ünsoy
This map shows the geographic impact of Gözde Ünsoy'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 Gözde Ünsoy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gözde Ünsoy more than expected).
Fields of papers citing papers by Gözde Ünsoy
This network shows the impact of papers produced by Gözde Ünsoy. 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 Gözde Ünsoy. The network helps show where Gözde Ünsoy may publish in the future.
Co-authorship network of co-authors of Gözde Ünsoy
This figure shows the co-authorship network connecting the top 25 collaborators of Gözde Ünsoy. A scholar is included among the top collaborators of Gözde Ünsoy 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 Gözde Ünsoy. Gözde Ünsoy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | Doxorubicin-loaded magnetic nanoparticles downregulate expression of anti-apoptotic genes in resistant breast cancer cells | 1 |
| 3 | 78 | |
| 4 | 11 | |
| 5 | 63 | |
| 6 | 51 | |
| 7 | Detection of XRCC1 gene polymorphisms in Turkish head and neck squamous cell carcinoma patients: a comparative analysis with different populations. | 8 |
| 8 | 57 | |
| 9 | 42 | |
| 10 | 5 | |
| 11 | 52 | |
| 12 | 20 | |
| 13 | 18 | |
| 14 | 257 | |
| 15 | 12 | |
| 16 | 78 | |
| 17 | 40 | |
| 18 | 2 | |
| 19 | 295 |
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.