Dorota E. Kuczek
About
In The Last Decade
Dorota E. Kuczek
5 papers receiving 511 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Oncology 316
- Immunology 233
- Molecular Biology 119
- Biomedical Engineering 110
- Cell Biology 81
Countries citing papers authored by Dorota E. Kuczek
This map shows the geographic impact of Dorota E. Kuczek'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 Dorota E. Kuczek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dorota E. Kuczek more than expected).
Fields of papers citing papers by Dorota E. Kuczek
This network shows the impact of papers produced by Dorota E. Kuczek. 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 Dorota E. Kuczek. The network helps show where Dorota E. Kuczek may publish in the future.
Co-authorship network of co-authors of Dorota E. Kuczek
This figure shows the co-authorship network connecting the top 25 collaborators of Dorota E. Kuczek. A scholar is included among the top collaborators of Dorota E. Kuczek 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 Dorota E. Kuczek. Dorota E. Kuczek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 93 | |
| 4 | Collagen density regulates the activity of tumor-infiltrating T cells breakdown → | 308 |
| 5 | 104 |
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.