Haili Cui

708 citations
13 papers · 625 · h-index 8

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • NF-κB Signaling Pathways

Papers in

    • Amyloidosis: Diagnosis, Treatment, Outcomes 6
    • Cell death mechanisms and regulation 2
    • Retinoids in leukemia and cellular processes 2
    • Bone Metabolism and Diseases 1
    • T-cell and B-cell Immunology 2
    • Immune Cell Function and Interaction 2
    • Immunotherapy and Immune Responses 1

Haili Cui

13 papers receiving 607 citations

Peers

Haili Cui
Comparison fields: 5 of 56
  • Immunology 405
  • Cancer Research 115
  • Molecular Biology 342
  • Oncology 90
  • Virology 16
Replace Erica Lantelme with:
Erica Lantelme Italy
Masaharu Hatakeyama Japan
Cornelia Escher Germany
John C. Scatizzi United States
Xue F. Huang United States
T Kitamura Japan
A Yachie Japan
L A Turka United States
Rajani Kanth Vangala India
Sandy Larson United States
Haili Cui relative to Erica Lantelme Italy Erica Lantelme's profile →
Citations per field
00.5×1.5×
Erica Lantelme · 1×
Citations per year

Countries citing papers authored by Haili Cui

Since Specialization
Citations

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

Fields of papers citing papers by Haili Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1995389
2 199775
3 199740
4 201829
5 199522
6 201720
7 201418
8 199613
9 20166
10 20226
11 20214
12 20222
13 20171

About Haili Cui

Haili Cui is a scholar working on Molecular Biology, Immunology, Surgery, Nephrology and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 625 indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (6 papers), Cell death mechanisms and regulation (2 papers), T-cell and B-cell Immunology (2 papers), Retinoids in leukemia and cellular processes (2 papers), Immune Cell Function and Interaction (2 papers), Immunotherapy and Immune Responses (1 paper), Bone Metabolism and Diseases (1 paper) and Pancreatitis Pathology and Treatment (1 paper). The work is most often cited by research in Immunology (405 citations), Cancer Research (115 citations), Molecular Biology (342 citations), Oncology (90 citations) and Virology (16 citations). Haili Cui has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Shyr‐Te Ju, Ben Z. Stanger, Ann Marshak‐Rothstein, David J. Panka, Thomas L. Rothstein, Zihua Wang, Linda C. Foote, Gail E. Sonenshein, Ken Matsui and Stephanie L. Schauer. Their work appears in journals such as Amyloid, Proceedings of the National Academy of Sciences, Cellular Immunology, European Journal of Immunology 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.

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