Raymonda Varon-Mateeva
About
In The Last Decade
Raymonda Varon-Mateeva
3 papers receiving 72 citations
Peers
Comparison fields: 5 of 18
- Cancer Research 59
- Molecular Biology 58
- Genetics 15
- Oncology 9
- Epidemiology 2
Countries citing papers authored by Raymonda Varon-Mateeva
This map shows the geographic impact of Raymonda Varon-Mateeva'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 Raymonda Varon-Mateeva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raymonda Varon-Mateeva more than expected).
Fields of papers citing papers by Raymonda Varon-Mateeva
This network shows the impact of papers produced by Raymonda Varon-Mateeva. 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 Raymonda Varon-Mateeva. The network helps show where Raymonda Varon-Mateeva may publish in the future.
Co-authorship network of co-authors of Raymonda Varon-Mateeva
This figure shows the co-authorship network connecting the top 25 collaborators of Raymonda Varon-Mateeva. A scholar is included among the top collaborators of Raymonda Varon-Mateeva 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 Raymonda Varon-Mateeva. Raymonda Varon-Mateeva 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 | 4 | |
| 3 | 68 | |
| 4 | 1 |
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.