Ren Yi
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
-
- Single-cell and spatial transcriptomics 1
- Machine Learning in Bioinformatics 1
-
- Immune Cell Function and Interaction 3
- IL-33, ST2, and ILC Pathways 2
- Co-authors
- Richard Bonneau (4 shared papers)Dan R. Littman (3 shared papers)Maria Pokrovskii (2 shared papers)Christy Au (2 shared papers)Carolina Galan (1 shared paper)Yasmine Belkaid (1 shared paper)Yi Ding (1 shared paper)Oliver J. Harrison (1 shared paper)
- Journals
- Bioinformatics (2 papers)European Journal of Medicinal Chemistry (1 paper)Journal of Functional Foods (1 paper)Nature Communications (1 paper)Immunity (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ren Yi
13 papers receiving 531 citations
Peers
Comparison fields: 5 of 71
- Immunology 285
- Biological Psychiatry 14
- Gastroenterology 29
- Infectious Diseases 68
- Molecular Biology 251
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 | 354 | |
| 2 | 2019 | 61 | |
| 3 | 2022 | 37 | |
| 4 | 2020 | 37 | |
| 5 | 2022 | 21 | |
| 6 | 2022 | 12 | |
| 7 | 2022 | 7 | |
| 8 | 2025 | 2 | |
| 9 | [Butyrate increases the monocytic myeloid-derived suppressor cells and promotes the secretion of anti-inflammatory cytokines in mice with alcoholic liver disease]. | 2022 | 2 |
| 10 | 2024 | 2 | |
| 11 | 2022 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 |
About Ren Yi
Ren Yi is a scholar working on Molecular Biology, Immunology, Surgery, Epidemiology and Nutrition and Dietetics, having authored 15 papers that have together received 538 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Fatty Acid Research and Health (2 papers), IL-33, ST2, and ILC Pathways (2 papers), Single-cell and spatial transcriptomics (1 paper), Machine Learning in Bioinformatics (1 paper), Cell Image Analysis Techniques (1 paper), Quinazolinone synthesis and applications (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Immunology (285 citations), Biological Psychiatry (14 citations), Gastroenterology (29 citations), Infectious Diseases (68 citations) and Molecular Biology (251 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 Pokrovskii, Christy Au, Carolina Galan, Yasmine Belkaid, Yi Ding, Oliver J. Harrison, Mo Xu and Nicholas Carriero. Their work appears in journals such as Bioinformatics, European Journal of Medicinal Chemistry, Journal of Functional Foods, Nature Communications and Immunity.
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.