Defne Yigci
About
In The Last Decade
Defne Yigci
13 papers receiving 225 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Biomedical Engineering 112
- Molecular Biology 66
- Artificial Intelligence 27
- Mechanical Engineering 23
- Health Informatics 19
Countries citing papers authored by Defne Yigci
This map shows the geographic impact of Defne Yigci'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 Defne Yigci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Defne Yigci more than expected).
Fields of papers citing papers by Defne Yigci
This network shows the impact of papers produced by Defne Yigci. 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 Defne Yigci. The network helps show where Defne Yigci may publish in the future.
Co-authorship network of co-authors of Defne Yigci
This figure shows the co-authorship network connecting the top 25 collaborators of Defne Yigci. A scholar is included among the top collaborators of Defne Yigci 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 Defne Yigci. Defne Yigci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | Machine learning in point-of-care testing: innovations, challenges, and opportunities breakdown → | 47 |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 30 | |
| 7 | 39 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 25 | |
| 11 | 15 | |
| 12 | 20 | |
| 13 | 23 | |
| 14 | 18 |
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.