Jason Miska
- Immunology top 2%
- Immune cells in cancer 22
- Immunotherapy and Immune Responses 19
- Immune Cell Function and Interaction 11
- T-cell and B-cell Immunology 8
- Genetics top 1%
- Glioma Diagnosis and Treatment 18
- Virus-based gene therapy research 9
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 12
- CAR-T cell therapy research 10
- Cancer Research top 5%
- Neurology top 5%
- Co-authors
- Maciej S. LesniakYu HanAida RashidiAtique U. AhmedDeepak KanojiaNavdeep S. ChandelCatalina Lee-ChangPeng Zhang
- Cited by
- ImmunologyGeneticsOncology
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Clinical Investigation (6 papers)Nature Communications (3 papers)
- Partner nations
- United StatesGermanyMexico
In The Last Decade
Jason Miska
66 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Immunology 1.4k
- Genetics 623
- Oncology 897
- Cancer Research 486
- Neurology 223
Countries citing papers authored by Jason Miska
This map shows the geographic impact of Jason Miska'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 Jason Miska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Miska more than expected).
Fields of papers citing papers by Jason Miska
This network shows the impact of papers produced by Jason Miska. 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 Jason Miska. The network helps show where Jason Miska may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jason Miska, 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 | 2025 | 0 | |
| 2 | 2025 | 12 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | Lactate dehydrogenase A regulates tumor-macrophage symbiosis to promote glioblastoma progressionbreakdown → | 2024 | 70 |
| 7 | 2024 | 0 | |
| 8 | 2023 | 4 | |
| 9 | Mitochondrial electron transport chain is necessary for NLRP3 inflammasome activationbreakdown → | 2022 | 216 |
| 10 | 2021 | 46 | |
| 11 | 2021 | 75 | |
| 12 | 2020 | 49 | |
| 13 | 2019 | 120 | |
| 14 | 2018 | 67 | |
| 15 | 2017 | 26 | |
| 16 | 2017 | 16 | |
| 17 | CCL2 Produced by the Glioma Microenvironment Is Essential for the Recruitment of Regulatory T Cells and Myeloid-Derived Suppressor Cellsbreakdown → | 2016 | 479 |
| 18 | 2015 | 42 | |
| 19 | 2015 | 17 | |
| 20 | 2015 | 27 |
About Jason Miska
Jason Miska is a scholar working on Immunology, Genetics and Oncology, having authored 73 papers that have together received 2.8k indexed citations. Recurring topics across this work include Immune cells in cancer (22 papers), Immunotherapy and Immune Responses (19 papers), Glioma Diagnosis and Treatment (18 papers), Cancer Immunotherapy and Biomarkers (12 papers), Immune Cell Function and Interaction (11 papers), CAR-T cell therapy research (10 papers), Virus-based gene therapy research (9 papers) and T-cell and B-cell Immunology (8 papers). The work is most often cited by research in Immunology (1.4k citations), Genetics (623 citations) and Oncology (897 citations). Jason Miska has collaborated with scholars based in United States, Germany and Mexico. Frequent co-authors include Maciej S. Lesniak, Yu Han, Aida Rashidi, Atique U. Ahmed, Deepak Kanojia, Navdeep S. Chandel, Catalina Lee-Chang, Peng Zhang, Craig Horbinski and Aurora Lopez‐Rosas. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.
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.