Feiya Ou
Impact in
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Immune Response and Inflammation
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- Cancer Immunotherapy and Biomarkers
- Inflammatory Biomarkers in Disease Prognosis
- CAR-T cell therapy research
Papers in
- Immunology 12
- Immunotherapy and Immune Responses 9
- T-cell and B-cell Immunology 9
- Immune Cell Function and Interaction 7
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- vaccines and immunoinformatics approaches 2
- Co-authors
- Kenneth M. Murphy (14 shared papers)Sun Kyung Kim (11 shared papers)Tiantian Liu (9 shared papers)Theresa L. Murphy (9 shared papers)Stephen T. Ferris (6 shared papers)Renee Wu (5 shared papers)David A. Anderson (5 shared papers)Michael Diamond (4 shared papers)
- Journals
- The Journal of Experimental Medicine (4 papers)Proceedings of the National Academy of Sciences (3 papers)Nature (2 papers)Nature Immunology (2 papers)Science Immunology (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Feiya Ou
15 papers receiving 250 citations
Peers
Comparison fields: 5 of 58
- Immunology 145
- Oncology 67
- Immunology and Allergy 4
- Molecular Biology 42
- Applied Microbiology and Biotechnology 1
Countries citing papers authored by Feiya Ou
This map shows the geographic impact of Feiya Ou'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 Feiya Ou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feiya Ou more than expected).
Fields of papers citing papers by Feiya Ou
This network shows the impact of papers produced by Feiya Ou. 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 Feiya Ou. The network helps show where Feiya Ou may publish in the future.
Co-authors
The 25 scholars most cited alongside Feiya Ou, 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 | 2022 | 74 | |
| 2 | 2022 | 43 | |
| 3 | 2024 | 38 | |
| 4 | 2023 | 19 | |
| 5 | 2024 | 13 | |
| 6 | 2021 | 13 | |
| 7 | 2021 | 10 | |
| 8 | 2023 | 9 | |
| 9 | 2025 | 7 | |
| 10 | 2024 | 6 | |
| 11 | 2023 | 6 | |
| 12 | 2018 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2025 | 3 | |
| 15 | 2025 | 3 | |
| 16 | 2026 | 0 | |
| 17 | 2025 | 0 |
About Feiya Ou
Feiya Ou is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Surgery, having authored 17 papers that have together received 255 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (9 papers), T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (7 papers), vaccines and immunoinformatics approaches (2 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Diabetes and associated disorders (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Immunology (145 citations), Oncology (67 citations), Immunology and Allergy (4 citations), Molecular Biology (42 citations) and Applied Microbiology and Biotechnology (1 citation). Feiya Ou has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Kenneth M. Murphy, Sun Kyung Kim, Tiantian Liu, Theresa L. Murphy, Stephen T. Ferris, Renee Wu, David A. Anderson, Michael Diamond, Ray A. Ohara and Peter F. Johnson. Their work appears in journals such as The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences, Nature, Nature Immunology and Science Immunology.
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.