Jakub Mieczkowski
Impact in
Papers in
-
- Neuroinflammation and Neurodegeneration Mechanisms 9
- Genetics 8
- Glioma Diagnosis and Treatment 8
- Co-authors
- Bożena Kamińska (21 shared papers)Kamil Wojnicki (4 shared papers)Natalia Ochocka (2 shared papers)Kacper Adam Walentynowicz (2 shared papers)Michael Yevgeniy Tolstorukov (6 shared papers)Julian Swatler (2 shared papers)Salwador Cyranowski (3 shared papers)Michał Dąbrowski (6 shared papers)
- Journals
- Scientific Reports (4 papers)eLife (3 papers)Nature Communications (3 papers)Cell Reports (2 papers)F1000Research (2 papers)
- Partner nations
- PolandUnited StatesSweden
In The Last Decade
Jakub Mieczkowski
43 papers receiving 1.7k citations
Jakub Mieczkowski's Hit Papers
Peers
Comparison fields: 5 of 103
- Neurology 328
- Genetics 239
- Immunology 455
- Developmental Neuroscience 68
- Molecular Biology 938
Countries citing papers authored by Jakub Mieczkowski
This map shows the geographic impact of Jakub Mieczkowski'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 Jakub Mieczkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jakub Mieczkowski more than expected).
Fields of papers citing papers by Jakub Mieczkowski
This network shows the impact of papers produced by Jakub Mieczkowski. 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 Jakub Mieczkowski. The network helps show where Jakub Mieczkowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Jakub Mieczkowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Single-cell RNA sequencing reveals functional heterogeneity of glioma-associated brain macrophages Hit paper breakdown → | 2021 | 314 |
| 2 | 2016 | 277 | |
| 3 | 2016 | 167 | |
| 4 | 2013 | 166 | |
| 5 | 2016 | 74 | |
| 6 | 2017 | 74 | |
| 7 | 2010 | 69 | |
| 8 | 2015 | 59 | |
| 9 | 2017 | 54 | |
| 10 | 2018 | 40 | |
| 11 | 2012 | 36 | |
| 12 | 2021 | 32 | |
| 13 | 2020 | 30 | |
| 14 | 2024 | 30 | |
| 15 | 2010 | 29 | |
| 16 | 2019 | 29 | |
| 17 | 2022 | 29 | |
| 18 | 2018 | 26 | |
| 19 | 2024 | 26 | |
| 20 | 2019 | 25 |
About Jakub Mieczkowski
Jakub Mieczkowski is a scholar working on Neurology, Genetics, Molecular Biology, Immunology and Oncology, having authored 44 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Immune cells in cancer (9 papers), Glioma Diagnosis and Treatment (8 papers), Genomics and Chromatin Dynamics (8 papers), Epigenetics and DNA Methylation (6 papers), Single-cell and spatial transcriptomics (5 papers), CRISPR and Genetic Engineering (4 papers) and Cytokine Signaling Pathways and Interactions (4 papers). The work is most often cited by research in Neurology (328 citations), Genetics (239 citations), Immunology (455 citations), Developmental Neuroscience (68 citations) and Molecular Biology (938 citations). Jakub Mieczkowski has collaborated with scholars based in Poland, United States and Sweden. Frequent co-authors include Bożena Kamińska, Kamil Wojnicki, Natalia Ochocka, Kacper Adam Walentynowicz, Michael Yevgeniy Tolstorukov, Julian Swatler, Salwador Cyranowski, Michał Dąbrowski, Peter J. Park and B. Alver. Their work appears in journals such as Scientific Reports, eLife, Nature Communications, Cell Reports and F1000Research.
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.