Kacper A. Walentynowicz

1.1k total citations · 2 hit papers
5 papers, 722 citations indexed

About

Kacper A. Walentynowicz is a scholar working on Immunology, Genetics and Neurology. According to data from OpenAlex, Kacper A. Walentynowicz has authored 5 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Genetics and 3 papers in Neurology. Recurrent topics in Kacper A. Walentynowicz's work include Immune cells in cancer (4 papers), Glioma Diagnosis and Treatment (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Kacper A. Walentynowicz is often cited by papers focused on Immune cells in cancer (4 papers), Glioma Diagnosis and Treatment (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Kacper A. Walentynowicz collaborates with scholars based in Poland and United States. Kacper A. Walentynowicz's co-authors include Bożena Kamińska, Wenson D. Rajan, Anna Gieryng, Kamil Wojnicki, Jakub Mieczkowski, Natalia Ochocka, Salwador Cyranowski, Julian Swatler, Iwona A. Ciechomska and Aashna Jhaveri and has published in prestigious journals such as Nature Communications, Frontiers in Immunology and Cell Reports.

In The Last Decade

Kacper A. Walentynowicz

5 papers receiving 717 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Immune microenvironment of gliomas

2017 415 citations Anna Gieryng, Kacper A. Walentynowicz et al. Laboratory Investigation profile →
Single-cell RNA sequencing reveals functional heterogeneity of glioma-associated brain macrophages

2021 254 citations Natalia Ochocka, Kacper A. Walentynowicz et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kacper A. Walentynowicz Poland	4	449	331	252	230	146	5	722
Wenson D. Rajan Poland	7	372 0.8×	271 0.8×	244 1.0×	275 1.2×	133 0.9×	10	743
Anna Gieryng Poland	9	402 0.9×	282 0.9×	230 0.9×	282 1.2×	162 1.1×	12	796
Cameron J. Herting United States	11	500 1.1×	362 1.1×	291 1.2×	207 0.9×	244 1.7×	18	862
Katyayni Vinnakota Germany	8	448 1.0×	324 1.0×	306 1.2×	312 1.4×	204 1.4×	9	885
D. Marković Germany	6	363 0.8×	282 0.9×	191 0.8×	295 1.3×	154 1.1×	11	684
Marta Maleszewska Poland	14	281 0.6×	221 0.7×	345 1.4×	180 0.8×	112 0.8×	20	666
Salwador Cyranowski Poland	8	400 0.9×	136 0.4×	178 0.7×	142 0.6×	205 1.4×	13	587
Sridhar Reddy Chirasani Germany	7	216 0.5×	203 0.6×	212 0.8×	156 0.7×	142 1.0×	7	593
Magdalena Kijewska Poland	7	198 0.4×	154 0.5×	195 0.8×	107 0.5×	141 1.0×	9	470
Edward Visse Sweden	16	305 0.7×	269 0.8×	242 1.0×	90 0.4×	247 1.7×	38	756

Countries citing papers authored by Kacper A. Walentynowicz

Since Specialization

Citations

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

Fields of papers citing papers by Kacper A. Walentynowicz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kacper A. Walentynowicz. 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 Kacper A. Walentynowicz. The network helps show where Kacper A. Walentynowicz may publish in the future.

Co-authorship network of co-authors of Kacper A. Walentynowicz

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

All Works

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5 of 5 papers shown

1.

Walentynowicz, Kacper A., Simona Cristea, Aashna Jhaveri, et al.. (2023). Single-cell heterogeneity of EGFR and CDK4 co-amplification is linked to immune infiltration in glioblastoma. Cell Reports. 42(3). 112235–112235. 14 indexed citations

2.

Ochocka, Natalia, Kacper A. Walentynowicz, Kamil Wojnicki, et al.. (2021). Single-cell RNA sequencing reveals functional heterogeneity of glioma-associated brain macrophages. Nature Communications. 12(1). 1151–1151. 254 indexed citations breakdown →

3.

Walentynowicz, Kacper A., Natalia Ochocka, Kamil Wojnicki, et al.. (2018). In Search for Reliable Markers of Glioma-Induced Polarization of Microglia. Frontiers in Immunology. 9. 1329–1329. 37 indexed citations

4.

Gieryng, Anna, et al.. (2017). Immune microenvironment of gliomas. Laboratory Investigation. 97(5). 498–518. 415 indexed citations breakdown →

5.

Wrotek, Sylwia, et al.. (2006). Fever and symptoms of sickness are present in mice lacking functional B and T lymphocytes. Acta Biologica Cracoviensia. Series Zoologia. 48. 9–20. 2 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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