Nada Rayes
About
In The Last Decade
Nada Rayes
113 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 117
- Surgery 1.2k
- Epidemiology 1.1k
- Hepatology 983
- Molecular Biology 590
- Nutrition and Dietetics 571
Countries citing papers authored by Nada Rayes
This map shows the geographic impact of Nada Rayes'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 Nada Rayes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nada Rayes more than expected).
Fields of papers citing papers by Nada Rayes
This network shows the impact of papers produced by Nada Rayes. 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 Nada Rayes. The network helps show where Nada Rayes may publish in the future.
Co-authorship network of co-authors of Nada Rayes
This figure shows the co-authorship network connecting the top 25 collaborators of Nada Rayes. A scholar is included among the top collaborators of Nada Rayes 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 Nada Rayes. Nada Rayes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | Klinische Ernährung in der Chirurgie : S3-Leitlinie der Deutschen Gesellschaft für Ernährungsmedizin e. V. (Leitlinien) | 3 |
| 8 | 2 | |
| 9 | 40 | |
| 10 | Einfluss der Bildfusion und Schwächungskorrektur mittels SPECT-CT auf die szintigraphische Detektion von Nebenschilddrüsenadenomen | 19 |
| 11 | 150 | |
| 12 | 14 | |
| 13 | 53 | |
| 14 | 20 | |
| 15 | 26 | |
| 16 | 6 | |
| 17 | 54 | |
| 18 | 16 | |
| 19 | 1 | |
| 20 | 5 |
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.