Ye Cui

2.0k citations
34 papers · 1.3k · h-index 17

Impact in

  • Immunology top 5%
    • interferon and immune responses
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • T-cell and B-cell Immunology
    • Viral Infections and Vectors

Papers in

    • interferon and immune responses 8
    • Immune Cell Function and Interaction 4
    • Macrophage Migration Inhibitory Factor 3

Ye Cui

32 papers receiving 1.3k citations

Peers

Ye Cui
Comparison fields: 5 of 89
  • Immunology 806
  • Infectious Diseases 258
  • Molecular Biology 601
  • Toxicology 28
  • Cancer Research 99
Replace Rowena S. Lewis with:
Rowena S. Lewis Australia
Ryan Oyer United States
Roshan J. Thapa United States
Tiina Kelkka Finland
Luigi Tortola Switzerland
Sebastian Boeltz Germany
Ning Go United States
Ming Gui China
Jun Ki Hong China
Ye Cui relative to Rowena S. Lewis Australia Rowena S. Lewis's profile →
Citations per field
00.5×4.8×
Rowena S. Lewis · 1×
Citations per year

Countries citing papers authored by Ye Cui

Since Specialization
Citations

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

Fields of papers citing papers by Ye Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014296
2 2017136
3 2019109
4 2017105
5 202083
6 202069
7 201965
8 201863
9 201655
10 201648
11 201746
12 201742
13 202137
14 201528
15 201924
16 201418
17 201717
18 202215
19 202115
20 201813

About Ye Cui

Ye Cui is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Oncology and Physiology, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include interferon and immune responses (8 papers), Viral Infections and Vectors (5 papers), Immune Cell Function and Interaction (4 papers), Tuberous Sclerosis Complex Research (4 papers), Lymphatic System and Diseases (3 papers), Macrophage Migration Inhibitory Factor (3 papers), GDF15 and Related Biomarkers (3 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Immunology (806 citations), Infectious Diseases (258 citations), Molecular Biology (601 citations), Toxicology (28 citations) and Cancer Research (99 citations). Ye Cui has collaborated with scholars based in United States, China and Türkiye. Frequent co-authors include Chen Wang, Huansha Yu, Senlin Li, Yijun Tang, Qiang Wang, Wei Chen, Xing Liu, Youdong Pan, Souheil El‐Chemaly and Xing Liu. Their work appears in journals such as PLoS Pathogens, Nature Immunology, Journal of the Meteorological Society of Japan Ser II, American Journal Of Pathology and CHEST Journal.

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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