Ren Yi

903 citations
16 papers · 570 · h-index 7

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

Ren Yi

14 papers receiving 561 citations

Peers

Ren Yi
Comparison fields: 5 of 73
  • Immunology 281
  • Biological Psychiatry 13
  • Gastroenterology 26
  • Molecular Biology 245
  • Infectious Diseases 61
Replace Christy Au with:
Christy Au United States
Lien Van den Bossche Belgium
Heather Evans‐Marin United States
Keita Saeki Japan
Sophie Van Welden Belgium
Lingfeng Fu Japan
Michihide Uo Japan
Akira Okazawa Japan
Justin B. Moroney United States
Martina Lubrano di Ricco France
Ren Yi relative to Christy Au United States Christy Au's profile →
Citations per field
00.5×1.5×
Christy Au · 1×
Citations per year

Countries citing papers authored by Ren Yi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ren Yi Line = papers co-authored together Ren Yi links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2018370
2 201963
3 202242
4 202039
5 202222
6 202213
7 20227
8 20245
9 20252
10
[Butyrate increases the monocytic myeloid-derived suppressor cells and promotes the secretion of anti-inflammatory cytokines in mice with alcoholic liver disease].
20222
11 20251
12 20251
13 20251
14 20221
15 20251
16 20250

About Ren Yi

Ren Yi is a scholar working on Molecular Biology, Immunology, Surgery, Epidemiology and Nutrition and Dietetics, having authored 16 papers that have together received 570 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), Diabetes Management and Research (1 paper), Multi-Criteria Decision Making (1 paper), T-cell and B-cell Immunology (1 paper), Quinazolinone synthesis and applications (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Immunology (281 citations), Biological Psychiatry (13 citations), Gastroenterology (26 citations), Molecular Biology (245 citations) and Infectious Diseases (61 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, Oliver J. Harrison, Carolina Galan, Mo Xu, Yasmine Belkaid, Yi Ding and Aaron Watters. Their work appears in journals such as Bioinformatics, Theranostics, Frontiers in Cardiovascular Medicine, Nature and European Journal of Medicinal Chemistry.

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.

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