Ren Yi
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- IL-33, ST2, and ILC Pathways
- Psoriasis: Treatment and Pathogenesis
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- Gut microbiota and health
- Gene Regulatory Network Analysis
- Single-cell and spatial transcriptomics
Papers in
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- T-cell and B-cell Immunology 2
- Immune cells in cancer 1
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- Genomics and Chromatin Dynamics 2
- Gut microbiota and health 2
- Epigenetics and DNA Methylation 1
- Co-authors
- Richard Bonneau (4 shared papers)Dan R. Littman (3 shared papers)Maria V. Pokrovskii (2 shared papers)Christy Au (2 shared papers)Yi Ding (1 shared paper)Carolina Galan (1 shared paper)Yasmine Belkaid (1 shared paper)Oliver J. Harrison (1 shared paper)
- Journals
- Bioinformatics (2 papers)Journal of Infection (1 paper)Nature Communications (1 paper)Journal of Functional Foods (1 paper)Nature (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ren Yi
14 papers receiving 655 citations
Peers
Comparison fields: 5 of 75
- Immunology 292
- Molecular Biology 256
- Genetics 80
- Immunology and Allergy 12
- Oncology 21
Countries citing papers authored by Ren Yi
This map shows the geographic impact of Ren Yi'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 Ren Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ren Yi more than expected).
Fields of papers citing papers by Ren Yi
This network shows the impact of papers produced by Ren Yi. 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 Ren Yi. The network helps show where Ren Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ren Yi, 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 | 2018 | 414 | |
| 2 | 2019 | 68 | |
| 3 | 2022 | 48 | |
| 4 | 2020 | 41 | |
| 5 | The MAQC-II Project: A comprehensive study of common practices for the development and validation of microarray-based predictive models. | 2010 | 30 |
| 6 | 2022 | 23 | |
| 7 | 2022 | 15 | |
| 8 | 2024 | 12 | |
| 9 | 2022 | 7 | |
| 10 | 2025 | 3 | |
| 11 | [Butyrate increases the monocytic myeloid-derived suppressor cells and promotes the secretion of anti-inflammatory cytokines in mice with alcoholic liver disease]. | 2022 | 2 |
| 12 | 2022 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 0 |
About Ren Yi
Ren Yi is a scholar working on Immunology, Molecular Biology, Nutrition and Dietetics, Genetics and Artificial Intelligence, having authored 16 papers that have together received 667 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (2 papers), T-cell and B-cell Immunology (2 papers), Gut microbiota and health (2 papers), Fatty Acid Research and Health (2 papers), Privacy-Preserving Technologies in Data (1 paper), Epigenetics and DNA Methylation (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Immune cells in cancer (1 paper). The work is most often cited by research in Immunology (292 citations), Molecular Biology (256 citations), Genetics (80 citations), Immunology and Allergy (12 citations) and Oncology (21 citations). Ren Yi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Richard Bonneau, Dan R. Littman, Maria V. Pokrovskii, Christy Au, Yi Ding, Carolina Galan, Yasmine Belkaid, Oliver J. Harrison, Mo Xu and Emily R. Miraldi. Their work appears in journals such as Bioinformatics, Journal of Infection, Nature Communications, Journal of Functional Foods and Nature.
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.