Michael J. Sikora
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
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- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Immunotherapy and Immune Responses 1
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- Mathematical Biology Tumor Growth 1
- Co-authors
- Lars M. Steinmetz (3 shared papers)Mark M. Davis (2 shared papers)K. Christopher García (1 shared paper)Ricardo A. Fernandes (1 shared paper)Jorge R. Oksenberg (1 shared paper)Naresha Saligrama (1 shared paper)Yueh-hsiu Chien (1 shared paper)David M. Louis (1 shared paper)
- Journals
- Nature (1 paper)Advanced Biosystems (1 paper)Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesGermanySouth Africa
In The Last Decade
Michael J. Sikora
4 papers receiving 415 citations
Michael J. Sikora's Hit Papers
Peers
Comparison fields: 5 of 59
- Immunology 269
- Neurology 37
- Gastroenterology 15
- Oncology 73
- Pathology and Forensic Medicine 39
Countries citing papers authored by Michael J. Sikora
This map shows the geographic impact of Michael J. Sikora'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 Michael J. Sikora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Sikora more than expected).
Fields of papers citing papers by Michael J. Sikora
This network shows the impact of papers produced by Michael J. Sikora. 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 Michael J. Sikora. The network helps show where Michael J. Sikora may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael J. Sikora, 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 | KIR + CD8 + T cells suppress pathogenic T cells and are active in autoimmune diseases and COVID-19 Hit paper breakdown → | 2022 | 181 |
| 2 | 2019 | 164 | |
| 3 | 2019 | 68 | |
| 4 | 2020 | 6 |
About Michael J. Sikora
Michael J. Sikora is a scholar working on Immunology, Modeling and Simulation, Gastroenterology, Oncology and Biomedical Engineering, having authored 4 papers that have together received 419 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Cancer Cells and Metastasis (1 paper), CAR-T cell therapy research (1 paper), Mathematical Biology Tumor Growth (1 paper), 3D Printing in Biomedical Research (1 paper), Immunotherapy and Immune Responses (1 paper) and Celiac Disease Research and Management (1 paper). The work is most often cited by research in Immunology (269 citations), Neurology (37 citations), Gastroenterology (15 citations), Oncology (73 citations) and Pathology and Forensic Medicine (39 citations). Michael J. Sikora has collaborated with scholars based in United States, Germany and South Africa. Frequent co-authors include Lars M. Steinmetz, Mark M. Davis, K. Christopher García, Ricardo A. Fernandes, Jorge R. Oksenberg, Naresha Saligrama, Yueh-hsiu Chien, David M. Louis, Stephen L. Hauser and Fan Zhao. Their work appears in journals such as Nature, Advanced Biosystems, Science and Proceedings of the National Academy of Sciences.
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.