Lukasz Bialkowski

574 total citations
8 papers, 348 citations indexed

About

Lukasz Bialkowski is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Lukasz Bialkowski has authored 8 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Lukasz Bialkowski's work include Immunotherapy and Immune Responses (8 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Immune Cell Function and Interaction (3 papers). Lukasz Bialkowski is often cited by papers focused on Immunotherapy and Immune Responses (8 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Immune Cell Function and Interaction (3 papers). Lukasz Bialkowski collaborates with scholars based in Belgium, United States and United Kingdom. Lukasz Bialkowski's co-authors include Kris Thielemans, Kevin Van der Jeught, Carlo Heirman, Karine Breckpot, Dries Renmans, Cleo Goyvaerts, Katrijn Broos, Sandra Van Lint, Joeri L. Aerts and David Escors and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and International Journal of Cancer.

In The Last Decade

Lukasz Bialkowski

8 papers receiving 341 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Lukasz Bialkowski Belgium	7	253	188	163	57	24	8	348
Basav N. Hangalapura Netherlands	11	283 1.1×	105 0.6×	192 1.2×	55 1.0×	18 0.8×	16	382
Sixun Yang United States	10	344 1.4×	175 0.9×	155 1.0×	73 1.3×	30 1.3×	13	461
Christianne Groeneveldt Netherlands	9	141 0.6×	117 0.6×	183 1.1×	110 1.9×	40 1.7×	14	321
Céline Robert-Tissot United States	10	255 1.0×	188 1.0×	191 1.2×	60 1.1×	39 1.6×	15	430
Michael Imboden United States	10	238 0.9×	155 0.8×	142 0.9×	48 0.8×	31 1.3×	11	411
Chi-Fang Chang Taiwan	10	125 0.5×	112 0.6×	169 1.0×	40 0.7×	17 0.7×	15	305
Valérie Janelle Canada	11	206 0.8×	73 0.4×	148 0.9×	57 1.0×	13 0.5×	15	299
MingZhu Zhu United States	4	244 1.0×	104 0.6×	135 0.8×	65 1.1×	12 0.5×	6	295
Abderaouf Selmi Germany	6	275 1.1×	374 2.0×	117 0.7×	109 1.9×	58 2.4×	7	508
Damiá Tormo Germany	9	218 0.9×	167 0.9×	110 0.7×	86 1.5×	24 1.0×	12	382

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-authorship network of co-authors of Lukasz Bialkowski

This figure shows the co-authorship network connecting the top 25 collaborators of Lukasz Bialkowski. A scholar is included among the top collaborators of Lukasz Bialkowski 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 Lukasz Bialkowski. Lukasz Bialkowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Çuburu, Nicolas, Lukasz Bialkowski, Sergio M. Pontejo, et al.. (2022). Harnessing anti-cytomegalovirus immunity for local immunotherapy against solid tumors. Proceedings of the National Academy of Sciences. 119(26). e2116738119–e2116738119. 25 indexed citations

Bialkowski, Lukasz, Kevin Van der Jeught, Dries Renmans, et al.. (2018). Immune checkpoint blockade combined with IL‐6 and TGF‐β inhibition improves the therapeutic outcome of mRNA‐based immunotherapy. International Journal of Cancer. 143(3). 686–698. 31 indexed citations

Lint, Sandra Van, Dries Renmans, Katrijn Broos, et al.. (2016). Intratumoral Delivery of TriMix mRNA Results in T-cell Activation by Cross-Presenting Dendritic Cells. Cancer Immunology Research. 4(2). 146–156. 101 indexed citations

Bialkowski, Lukasz, Kevin Van der Jeught, Dries Renmans, et al.. (2016). Intralymphatic mRNA vaccine induces CD8 T-cell responses that inhibit the growth of mucosally located tumours. Scientific Reports. 6(1). 22509–22509. 61 indexed citations

Bialkowski, Lukasz, Kevin Van der Jeught, Dries Renmans, et al.. (2016). Adjuvant-Enhanced mRNA Vaccines. Methods in molecular biology. 1499. 179–191. 6 indexed citations

Bialkowski, Lukasz & Kris Thielemans. (2016). Improving Anti-cancer Immunotherapy by Simultaneous Targeting Suppressive Tumor Microenvironment. Journal of Vaccines & Vaccination. 7(3). 2 indexed citations

Jeught, Kevin Van der, Lukasz Bialkowski, Carlo Heirman, et al.. (2014). Intratumoral administration of mRNA encoding a fusokine consisting of IFN-β and the ectodomain of the TGF-β receptor II potentiates antitumor immunity. Oncotarget. 5(20). 10100–10113. 69 indexed citations

Jeught, Kevin Van der, Lukasz Bialkowski, Katrijn Broos, et al.. (2014). Targeting the tumor microenvironment to enhance antitumor immune responses. Oncotarget. 6(3). 1359–1381. 53 indexed citations

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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