Tankut G. Güney
About
In The Last Decade
Tankut G. Güney
7 papers receiving 313 citations
Peers
Comparison fields: 5 of 64
- Molecular Biology 147
- Oncology 88
- Biomedical Engineering 67
- Surgery 56
- Cancer Research 52
Countries citing papers authored by Tankut G. Güney
This map shows the geographic impact of Tankut G. Güney'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 Tankut G. Güney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tankut G. Güney more than expected).
Fields of papers citing papers by Tankut G. Güney
This network shows the impact of papers produced by Tankut G. Güney. 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 Tankut G. Güney. The network helps show where Tankut G. Güney may publish in the future.
Co-authorship network of co-authors of Tankut G. Güney
This figure shows the co-authorship network connecting the top 25 collaborators of Tankut G. Güney. A scholar is included among the top collaborators of Tankut G. Güney 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 Tankut G. Güney. Tankut G. Güney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 18 | |
| 4 | 78 | |
| 5 | 40 | |
| 6 | 26 | |
| 7 | 148 |
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.