Dominika Lukas
About
In The Last Decade
Dominika Lukas
9 papers receiving 519 citations
Peers
Comparison fields: 5 of 81
- Immunology 398
- Molecular Biology 125
- Oncology 80
- Cancer Research 76
- Neurology 40
Countries citing papers authored by Dominika Lukas
This map shows the geographic impact of Dominika Lukas'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 Dominika Lukas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominika Lukas more than expected).
Fields of papers citing papers by Dominika Lukas
This network shows the impact of papers produced by Dominika Lukas. 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 Dominika Lukas. The network helps show where Dominika Lukas may publish in the future.
Co-authorship network of co-authors of Dominika Lukas
This figure shows the co-authorship network connecting the top 25 collaborators of Dominika Lukas. A scholar is included among the top collaborators of Dominika Lukas 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 Dominika Lukas. Dominika Lukas 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 | 4 | |
| 3 | 26 | |
| 4 | 4 | |
| 5 | 39 | |
| 6 | 197 | |
| 7 | 161 | |
| 8 | 82 | |
| 9 | Suppression in Xenopus laevis: thymus inducer, spleen effector cells. | 8 |
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.