Yewei Ji

2.0k citations
14 papers · 894 · h-index 12

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • IL-33, ST2, and ILC Pathways
  • Epidemiology top 10%
    • Adipokines, Inflammation, and Metabolic Diseases

Papers in

    • Adipokines, Inflammation, and Metabolic Diseases 3
    • Autophagy in Disease and Therapy 3
    • Immune Cell Function and Interaction 3
    • interferon and immune responses 2

Yewei Ji

13 papers receiving 887 citations

Peers

Yewei Ji
Comparison fields: 5 of 80
  • Immunology 283
  • Epidemiology 253
  • Surgery 291
  • Cell Biology 116
  • Molecular Medicine 35
Replace Lindsey E. Padgett with:
Lindsey E. Padgett United States
Bradley K. Wacker United States
Mélanie Magnan France
Nasim Kiaie Iran
Annie Mirsoian United States
An‐Chieh Feng Taiwan
Holger Schrumpf Germany
Chiju Wei China
Lingjie Li China
Yewei Ji relative to Lindsey E. Padgett United States Lindsey E. Padgett's profile →
Citations per field
00.5×
Lindsey E. Padgett · 1×
Citations per year

Countries citing papers authored by Yewei Ji

Since Specialization
Citations

This map shows the geographic impact of Yewei Ji'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 Yewei Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yewei Ji more than expected).

Fields of papers citing papers by Yewei Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yewei Ji. 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 Yewei Ji. The network helps show where Yewei Ji may publish in the future.

Co-authors

The 25 scholars most cited alongside Yewei Ji, 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 Yewei Ji Line = papers co-authored together Yewei Ji links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2012174
2 2017165
3 2012118
4 201482
5 202066
6 201653
7 201951
8 202050
9 201544
10 201435
11 201930
12 202425
13 20251
14 20250

About Yewei Ji

Yewei Ji is a scholar working on Epidemiology, Immunology, Surgery, Genetics and Infectious Diseases, having authored 14 papers that have together received 894 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Diabetes and associated disorders (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Autophagy in Disease and Therapy (3 papers), Immune Cell Function and Interaction (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), interferon and immune responses (2 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Immunology (283 citations), Epidemiology (253 citations), Surgery (291 citations), Cell Biology (116 citations) and Molecular Medicine (35 citations). Yewei Ji has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Ling Qi, Shengyi Sun, Liu Yang, Sander Kersten, Duo An, Minglin Ma, Sheng Xia, Xiaoqing Li, Wei Song and Alan Chiu. Their work appears in journals such as Cell Reports, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Nature Communications and Molecular Biology of the Cell.

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.

Explore authors with similar magnitude of impact