Tõnu Vanakesa
About
In The Last Decade
Tõnu Vanakesa
10 papers receiving 332 citations
Peers
Comparison fields: 5 of 36
- Oncology 231
- Immunology 220
- Molecular Biology 87
- Pulmonary and Respiratory Medicine 84
- Surgery 32
Countries citing papers authored by Tõnu Vanakesa
This map shows the geographic impact of Tõnu Vanakesa'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 Tõnu Vanakesa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tõnu Vanakesa more than expected).
Fields of papers citing papers by Tõnu Vanakesa
This network shows the impact of papers produced by Tõnu Vanakesa. 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 Tõnu Vanakesa. The network helps show where Tõnu Vanakesa may publish in the future.
Co-authorship network of co-authors of Tõnu Vanakesa
This figure shows the co-authorship network connecting the top 25 collaborators of Tõnu Vanakesa. A scholar is included among the top collaborators of Tõnu Vanakesa 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 Tõnu Vanakesa. Tõnu Vanakesa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 38 | |
| 6 | 245 | |
| 7 | 1 | |
| 8 | MAGRIT phase III trial in adjuvant NSCLC: MAGE-A3 gene expression frequency on the first 2150 patients screened and demographics of first patients randomized | 2 |
| 9 | 3 | |
| 10 | 31 |
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.