Guray Kuzu
About
In The Last Decade
Guray Kuzu
16 papers receiving 608 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 505
- Genetics 83
- Plant Science 64
- Computational Theory and Mathematics 56
- Immunology 53
Countries citing papers authored by Guray Kuzu
This map shows the geographic impact of Guray Kuzu'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 Guray Kuzu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guray Kuzu more than expected).
Fields of papers citing papers by Guray Kuzu
This network shows the impact of papers produced by Guray Kuzu. 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 Guray Kuzu. The network helps show where Guray Kuzu may publish in the future.
Co-authorship network of co-authors of Guray Kuzu
This figure shows the co-authorship network connecting the top 25 collaborators of Guray Kuzu. A scholar is included among the top collaborators of Guray Kuzu 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 Guray Kuzu. Guray Kuzu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 126 | |
| 3 | 0 | |
| 4 | 31 | |
| 5 | 86 | |
| 6 | 11 | |
| 7 | 22 | |
| 8 | 68 | |
| 9 | 14 | |
| 10 | 36 | |
| 11 | 23 | |
| 12 | 14 | |
| 13 | 63 | |
| 14 | 40 | |
| 15 | 55 | |
| 16 | 11 | |
| 17 | 11 |
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.