Konrad Gabrusiewicz
- Genetics top 1%
- Glioma Diagnosis and Treatment 13
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Immunology top 2%
- Immune cells in cancer 16
- Immunotherapy and Immune Responses 8
- Cancer Research top 5%
- MicroRNA in disease regulation 6
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 6
- CAR-T cell therapy research 4
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- Extracellular vesicles in disease 4
- Co-authors
- Amy B. HeimbergerBożena KamińskaJun WeiLing-Yuan KongGregory N. FullerShouhao ZhouAleksandra Ellert‐MiklaszewskaXiaoyang Ling
- Cited by
- GeneticsNeurologyImmunology
- Journals
- Journal of Clinical Investigation (1 paper)Nature Communications (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesPolandChina
In The Last Decade
Konrad Gabrusiewicz
35 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Genetics 833
- Neurology 486
- Immunology 1.2k
- Cancer Research 495
- Oncology 787
Countries citing papers authored by Konrad Gabrusiewicz
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
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
The 25 scholars most cited alongside Konrad Gabrusiewicz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 91 | |
| 2 | Osteopontin mediates glioblastoma-associated macrophage infiltration and is a potential therapeutic targetbreakdown → | 2018 | 287 |
| 3 | 2018 | 28 | |
| 4 | 2017 | 3 | |
| 5 | 2016 | 33 | |
| 6 | 2016 | 39 | |
| 7 | 2016 | 1 | |
| 8 | 2015 | 164 | |
| 9 | 2015 | 31 | |
| 10 | 2015 | 80 | |
| 11 | PD-L1 expression and prognostic impact in glioblastomabreakdown → | 2015 | 457 |
| 12 | 2015 | 6 | |
| 13 | 2015 | 1 | |
| 14 | 2014 | 107 | |
| 15 | 2013 | 10 | |
| 16 | 2012 | 111 | |
| 17 | 2011 | 46 | |
| 18 | 2011 | 224 | |
| 19 | 2006 | 112 | |
| 20 | 2006 | 78 |
About Konrad Gabrusiewicz
Konrad Gabrusiewicz is a scholar working on Genetics, Immunology and Neurology, having authored 35 papers that have together received 2.5k indexed citations. Recurring topics across this work include Immune cells in cancer (16 papers), Glioma Diagnosis and Treatment (13 papers), Immunotherapy and Immune Responses (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), MicroRNA in disease regulation (6 papers), Extracellular vesicles in disease (4 papers) and CAR-T cell therapy research (4 papers). The work is most often cited by research in Genetics (833 citations), Neurology (486 citations) and Immunology (1.2k citations). Konrad Gabrusiewicz has collaborated with scholars based in United States, Poland and China. Frequent 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. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.
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.