Marzenna Blonska
About
In The Last Decade
Marzenna Blonska
27 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Immunology 1.3k
- Molecular Biology 1.1k
- Cancer Research 983
- Oncology 483
- Epidemiology 145
Countries citing papers authored by Marzenna Blonska
This map shows the geographic impact of Marzenna Blonska'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 Marzenna Blonska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marzenna Blonska more than expected).
Fields of papers citing papers by Marzenna Blonska
This network shows the impact of papers produced by Marzenna Blonska. 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 Marzenna Blonska. The network helps show where Marzenna Blonska may publish in the future.
Co-authorship network of co-authors of Marzenna Blonska
This figure shows the co-authorship network connecting the top 25 collaborators of Marzenna Blonska. A scholar is included among the top collaborators of Marzenna Blonska 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 Marzenna Blonska. Marzenna Blonska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 8 | |
| 3 | 38 | |
| 4 | 13 | |
| 5 | 48 | |
| 6 | 41 | |
| 7 | 16 | |
| 8 | Inflammatory T Cell Responses Rely on Amino Acid Transporter ASCT2 Facilitation of Glutamine Uptake and mTORC1 Kinase Activation breakdown → | 652 |
| 9 | 22 | |
| 10 | 34 | |
| 11 | 144 | |
| 12 | 85 | |
| 13 | 106 | |
| 14 | 95 | |
| 15 | 235 | |
| 16 | 85 | |
| 17 | 242 | |
| 18 | 112 | |
| 19 | 121 | |
| 20 | 64 |
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.