Maigan Brusko
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune cells in cancer
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- Diabetes and associated disorders
Papers in
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- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 5
- Immunotherapy and Immune Responses 2
- Genetics 6
- Diabetes and associated disorders 6
- Co-authors
- Todd M. Brusko (14 shared papers)Benjamin G. Keselowsky (3 shared papers)Joshua M. Stewart (2 shared papers)Amanda L. Posgai (8 shared papers)Clive Wasserfall (9 shared papers)Mark A. Atkinson (9 shared papers)Rhonda Bacher (7 shared papers)Theodore T. Drashansky (1 shared paper)
- Journals
- Frontiers in Immunology (4 papers)Nature Communications (3 papers)Briefings in Bioinformatics (1 paper)Science Immunology (1 paper)Shock (1 paper)
- Partner nations
- United StatesHungaryAustralia
In The Last Decade
Maigan Brusko
20 papers receiving 370 citations
Peers
Comparison fields: 5 of 61
- Immunology 199
- Genetics 70
- Pharmaceutical Science 15
- Neurology 15
- Endocrinology, Diabetes and Metabolism 28
Countries citing papers authored by Maigan Brusko
This map shows the geographic impact of Maigan Brusko'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 Maigan Brusko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maigan Brusko more than expected).
Fields of papers citing papers by Maigan Brusko
This network shows the impact of papers produced by Maigan Brusko. 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 Maigan Brusko. The network helps show where Maigan Brusko may publish in the future.
Co-authors
The 25 scholars most cited alongside Maigan Brusko, 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 | 2017 | 73 | |
| 2 | 2020 | 39 | |
| 3 | 2020 | 39 | |
| 4 | 2020 | 37 | |
| 5 | 2021 | 30 | |
| 6 | 2019 | 24 | |
| 7 | 2023 | 23 | |
| 8 | 2021 | 23 | |
| 9 | 2020 | 20 | |
| 10 | 2023 | 13 | |
| 11 | 2021 | 12 | |
| 12 | 2022 | 11 | |
| 13 | 2024 | 6 | |
| 14 | 2024 | 6 | |
| 15 | 2025 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2025 | 2 |
About Maigan Brusko
Maigan Brusko is a scholar working on Immunology, Genetics, Molecular Biology, Surgery and Biophysics, having authored 20 papers that have together received 373 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), Diabetes and associated disorders (6 papers), T-cell and B-cell Immunology (5 papers), Single-cell and spatial transcriptomics (4 papers), Pancreatic function and diabetes (3 papers), Cell Image Analysis Techniques (3 papers), Diabetes Management and Research (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Immunology (199 citations), Genetics (70 citations), Pharmaceutical Science (15 citations), Neurology (15 citations) and Endocrinology, Diabetes and Metabolism (28 citations). Maigan Brusko has collaborated with scholars based in United States, Hungary and Australia. Frequent co-authors include Todd M. Brusko, Benjamin G. Keselowsky, Joshua M. Stewart, Amanda L. Posgai, Clive Wasserfall, Mark A. Atkinson, Rhonda Bacher, Theodore T. Drashansky, Dorina Avram and Jonathan Cho. Their work appears in journals such as Frontiers in Immunology, Nature Communications, Briefings in Bioinformatics, Science Immunology and Shock.
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.