Lukasz Bialkowski

574 citations
8 papers · 348 · h-index 7

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Immunotherapy and Immune Responses 8
    • Immune Cell Function and Interaction 3
    • Cancer Immunotherapy and Biomarkers 5
    • CAR-T cell therapy research 2

Lukasz Bialkowski

8 papers receiving 341 citations

Peers

Lukasz Bialkowski
Comparison fields: 5 of 47
  • Immunology 253
  • Oncology 163
  • Molecular Biology 188
  • Genetics 57
  • Biotechnology 13
Replace Jana Bieblová with:
Jana Bieblová Czechia
H-G Rammensee Germany
Marion Nonn Germany
Damiá Tormo Germany
Basav N. Hangalapura Netherlands
Valérie Janelle Canada
Chi-Fang Chang Taiwan
Meredith Slota United States
Abderaouf Selmi Germany
MingZhu Zhu United States
Lukasz Bialkowski relative to Jana Bieblová Czechia Jana Bieblová's profile →
Citations per field
00.5×3.2×
Jana Bieblová · 1×
Citations per year

Countries citing papers authored by Lukasz Bialkowski

Since Specialization
Citations

This map shows the geographic impact of Lukasz Bialkowski'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 Lukasz Bialkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukasz Bialkowski more than expected).

Fields of papers citing papers by Lukasz Bialkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lukasz Bialkowski. 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 Lukasz Bialkowski. The network helps show where Lukasz Bialkowski may publish in the future.

Co-authors

The 24 scholars most cited alongside Lukasz Bialkowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lukasz Bialkowski Line = papers co-authored together Lukasz Bialkowski links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2016101
2 201469
3 201661
4 201453
5 201831
6 202225
7 20166
8 20162

About Lukasz Bialkowski

Lukasz Bialkowski is a scholar working on Immunology, Oncology, Molecular Biology, Epidemiology and Genetics, having authored 8 papers that have together received 348 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), Cancer Immunotherapy and Biomarkers (5 papers), Immune Cell Function and Interaction (3 papers), CAR-T cell therapy research (2 papers), RNA Interference and Gene Delivery (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Herpesvirus Infections and Treatments (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Immunology (253 citations), Oncology (163 citations), Molecular Biology (188 citations), Genetics (57 citations) and Biotechnology (13 citations). Lukasz Bialkowski has collaborated with scholars based in Belgium, United States and Spain. Frequent co-authors include Kris Thielemans, Kevin Van der Jeught, Carlo Heirman, Karine Breckpot, Dries Renmans, Katrijn Broos, Cleo Goyvaerts, Sandra Van Lint, Joeri L. Aerts and David Escors. Their work appears in journals such as Oncotarget, International Journal of Cancer, Scientific Reports, Cancer Immunology Research and Proceedings of the National Academy of Sciences.

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.

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