Haili Cui

704 citations
13 papers · 601 indexed · h-index 8
  • Immunology top 10%
    • T-cell and B-cell Immunology 2
    • Immune Cell Function and Interaction 2
    • Amyloidosis: Diagnosis, Treatment, Outcomes 6
    • Protein Kinase Regulation and GTPase Signaling 2
    • Cell death mechanisms and regulation 2
    • Retinoids in leukemia and cellular processes 2
    • Bacillus and Francisella bacterial research 1
    • Cellular transport and secretion 2

Haili Cui

13 papers receiving 591 citations

Peers

Haili Cui
Comparison fields: 5 of 58
  • Immunology 397
  • Cancer Research 113
  • Molecular Biology 331
  • Oncology 93
  • Virology 16
Replace Linda C. Foote with:
Linda C. Foote United States
John C. Scatizzi United States
Masaharu Hatakeyama Japan
Cornelia Escher Germany
Craig Meagher Canada
Ram Kumar Venigalla United Kingdom
H M Lee United States
Christopher Eichman United States
Inna Verbovetski Israel
Haili Cui relative to Linda C. Foote United States Linda C. Foote's profile →
Citations per field
00.5×
Linda C. Foote · 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-authorship network

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 20222
2 20226
3 20214
4 201829
5 201720
6 20171
7 20166
8 201416
9 199740
10 199771
11 199612
12 199521
13 1995373

About Haili Cui

Haili Cui is a scholar working on Nephrology, Molecular Biology and Cell Biology, having authored 13 papers that have together received 601 indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (6 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Cell death mechanisms and regulation (2 papers), Retinoids in leukemia and cellular processes (2 papers), Cellular transport and secretion (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and Bacillus and Francisella bacterial research (1 paper). The work is most often cited by research in Immunology (397 citations), Cancer Research (113 citations) and Molecular Biology (331 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, Linda C. Foote, Thomas L. Rothstein, Zihua Wang, Stephanie L. Schauer, Ken Matsui and Gail E. Sonenshein. Their work appears in journals such as Amyloid, Cellular Immunology, Proceedings of the National Academy of Sciences, Kidney International Reports 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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