Konrad Gabrusiewicz

8.0k total citations · 2 hit papers
35 papers, 2.5k citations indexed

About

Konrad Gabrusiewicz is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Konrad Gabrusiewicz has authored 35 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 13 papers in Molecular Biology and 13 papers in Genetics. Recurrent topics in Konrad Gabrusiewicz's work include Immune cells in cancer (16 papers), Glioma Diagnosis and Treatment (13 papers) and Immunotherapy and Immune Responses (8 papers). Konrad Gabrusiewicz is often cited by papers focused on Immune cells in cancer (16 papers), Glioma Diagnosis and Treatment (13 papers) and Immunotherapy and Immune Responses (8 papers). Konrad Gabrusiewicz collaborates with scholars based in United States, Poland and China. Konrad Gabrusiewicz's co-authors include Amy B. Heimberger, Bożena Kamińska, Jun Wei, Ling-Yuan Kong, Gregory N. Fuller, Shouhao Zhou, Aleksandra Ellert‐Miklaszewska, Xiaoyang Ling, Małgorzata Sielska and Edjah K. Nduom and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Konrad Gabrusiewicz

35 papers receiving 2.4k citations

Hit Papers

PD-L1 expression and prognostic impact in glioblastoma 2015 2026 2018 2022 2015 2018 100 200 300 400

Peers

Konrad Gabrusiewicz
Marsha L. Quick United States
Stephanie M. Pyonteck United States
Siddhartha S. Mitra United States
Courtney A. Crane United States
Xiaoguang Fang United States
Jill Schartner United States
Marsha L. Quick United States
Konrad Gabrusiewicz
Citations per year, relative to Konrad Gabrusiewicz Konrad Gabrusiewicz (= 1×) peers Marsha L. Quick

Countries citing papers authored by Konrad Gabrusiewicz

Since Specialization
Citations

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

Fields of papers citing papers by Konrad Gabrusiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Konrad Gabrusiewicz

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

All Works

20 of 20 papers shown
1.
Yan, Jun, Qingnan Zhao, Konrad Gabrusiewicz, et al.. (2019). FGL2 promotes tumor progression in the CNS by suppressing CD103+ dendritic cell differentiation. Nature Communications. 10(1). 448–448. 91 indexed citations
2.
Wei, Jun, Anantha Marisetty, Brett Schrand, et al.. (2018). Osteopontin mediates glioblastoma-associated macrophage infiltration and is a potential therapeutic target. Journal of Clinical Investigation. 129(1). 137–149. 287 indexed citations breakdown →
3.
Noh, Hyangsoon, Qingnan Zhao, Jun Yan, et al.. (2018). Cell surface vimentin-targeted monoclonal antibody 86C increases sensitivity to temozolomide in glioma stem cells. Cancer Letters. 433. 176–185. 28 indexed citations
4.
Jacobs, Daniel I., Yanhong Liu, Konrad Gabrusiewicz, et al.. (2017). Germline polymorphisms in myeloid-associated genes are not associated with survival in glioma patients. Journal of Neuro-Oncology. 136(1). 33–39. 3 indexed citations
5.
Yaghi, Nasser K., Jun Wei, Yuuri Hashimoto, et al.. (2016). Immune modulatory nanoparticle therapeutics for intracerebral glioma. Neuro-Oncology. 19(3). now198–now198. 33 indexed citations
6.
Noh, Hyangsoon, Jun Yan, Sungguan Hong, et al.. (2016). Discovery of cell surface vimentin targeting mAb for direct disruption of GBM tumor initiating cells. Oncotarget. 7(44). 72021–72032. 39 indexed citations
7.
Heimberger, Amy B., Yanhong Liu, Konrad Gabrusiewicz, et al.. (2016). EPID-13. POLYMORPHISMS IN MYELOID-ASSOCIATED GENES PREDICT GLIOMA SURVIVAL. Neuro-Oncology. 18(suppl_6). vi58–vi58. 1 indexed citations
8.
Wei, Jun, Edjah K. Nduom, Ling-Yuan Kong, et al.. (2015). MiR-138 exerts anti-glioma efficacy by targeting immune checkpoints. Neuro-Oncology. 18(5). 639–648. 164 indexed citations
9.
Gabrusiewicz, Konrad, Mohammad B. Hossain, Nahir Cortes‐Santiago, et al.. (2015). Macrophage Ablation Reduces M2-Like Populations and Jeopardizes Tumor Growth in a MAFIA-Based Glioma Model. Neoplasia. 17(4). 374–384. 31 indexed citations
10.
Yan, Jun, Ling-Yuan Kong, Jiemiao Hu, et al.. (2015). FGL2 as a Multimodality Regulator of Tumor-Mediated Immune Suppression and Therapeutic Target in Gliomas. JNCI Journal of the National Cancer Institute. 107(8). 80 indexed citations
11.
Nduom, Edjah K., Jun Wei, Nasser K. Yaghi, et al.. (2015). PD-L1 expression and prognostic impact in glioblastoma. Neuro-Oncology. 18(2). 195–205. 457 indexed citations breakdown →
12.
Kong, Ling-Yuan, Jun Wei, Gregory N. Fuller, et al.. (2015). Tipping a favorable CNS intratumoral immune response using immune stimulation combined with inhibition of tumor-mediated immune suppression. OncoImmunology. 5(5). e1117739–e1117739. 6 indexed citations
13.
Gabrusiewicz, Konrad, Yuuri Hashimoto, Jun Wei, et al.. (2015). TMIC-09GLIOBLASTOMA STEM CELL-DERIVED EXOSOMES PROMOTE M2 POLARIZATION OF HUMAN MONOCYTES. Neuro-Oncology. 17(suppl 5). v216.5–v216. 1 indexed citations
14.
Xu, Shuo, Jun Wei, Fei Wang, et al.. (2014). Effect of miR-142-3p on the M2 Macrophage and Therapeutic Efficacy Against Murine Glioblastoma. JNCI Journal of the National Cancer Institute. 106(8). 107 indexed citations
15.
Wei, Jun, Edjah K. Nduom, Ling‐Yuan Kong, et al.. (2013). miR-138 exerts anti-glioma efficacy by targeting immune checkpoints. Journal for ImmunoTherapy of Cancer. 1(S1). 10 indexed citations
16.
Ciechomska, Iwona A., Konrad Gabrusiewicz, Andrzej A. Szczepankiewicz, & Bożena Kamińska. (2012). Endoplasmic reticulum stress triggers autophagy in malignant glioma cells undergoing cyclosporine A-induced cell death. Oncogene. 32(12). 1518–1529. 111 indexed citations
17.
Barbieri, Giulia, Silvia Palumbo, Konrad Gabrusiewicz, et al.. (2011). Silencing of cellular prion protein (PrPC) expression by DNA-antisense oligonucleotides induces autophagy-dependent cell death in glioma cells. Autophagy. 7(8). 840–853. 46 indexed citations
18.
Gabrusiewicz, Konrad, et al.. (2011). Characteristics of the Alternative Phenotype of Microglia/Macrophages and its Modulation in Experimental Gliomas. PLoS ONE. 6(8). e23902–e23902. 224 indexed citations
19.
Marković, D., Konrad Gabrusiewicz, Michael Synowitz, et al.. (2006). The invasion promoting effect of microglia on glioblastoma cells is inhibited by cyclosporin A. Brain. 130(2). 476–489. 112 indexed citations
20.
Ellert‐Miklaszewska, Aleksandra, et al.. (2006). Distinctive pattern of cannabinoid receptor type II (CB2) expression in adult and pediatric brain tumors. Brain Research. 1137(1). 161–169. 78 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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