Grace Cui

957 citations
19 papers · 728 · h-index 13

Impact in

  • Immunology top 10%
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • interferon and immune responses
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • NF-κB Signaling Pathways

Papers in

Grace Cui

19 papers receiving 717 citations

Peers

Grace Cui
Comparison fields: 5 of 83
  • Immunology 379
  • Cancer Research 141
  • Biomaterials 69
  • Hematology 44
  • Microbiology 20
Replace Donna M. Small with:
Donna M. Small United Kingdom
Francesca Mingozzi Italy
Fenge Li China
V. Gioia Italy
Fethi Louafi United Kingdom
Masakazu Shimizu Japan
Srinath Govindarajan Belgium
Josephine Meade United Kingdom
M. E. Christine Lutsiak United States
Hugo De La Peña United Kingdom
Grace Cui relative to Donna M. Small United Kingdom Donna M. Small's profile →
Citations per field
00.5×
Donna M. Small · 1×
Citations per year

Countries citing papers authored by Grace Cui

Since Specialization
Citations

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

Fields of papers citing papers by Grace Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2005177
2 2004121
3 200684
4 201449
5 201549
6 200845
7 201534
8 202033
9 202022
10 198519
11 201718
12 201616
13 201513
14 201810
15 201510
16 201810
17 20159
18 20218
19 20171

About Grace Cui

Grace Cui is a scholar working on Cancer Research, Molecular Biology, Immunology, Biomaterials and Hematology, having authored 19 papers that have together received 728 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (4 papers), NF-κB Signaling Pathways (4 papers), Immune Response and Inflammation (3 papers), MRI in cancer diagnosis (2 papers), interferon and immune responses (2 papers), Protease and Inhibitor Mechanisms (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Immunology (379 citations), Cancer Research (141 citations), Biomaterials (69 citations), Hematology (44 citations) and Microbiology (20 citations). Grace Cui has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Xiaoxia Li, Jinzhong Qin, Youcun Qian, Jianhong Yao, Gregory M. Lanza, Dipanjan Pan, Anne H. Schmieder, Xiaoxia Yang, John S. Allen and Mayumi Naramura. Their work appears in journals such as Theranostics, Nanomedicine Nanotechnology Biology and Medicine, Journal of Biological Chemistry, Molecular Cancer Therapeutics and Clinical Cancer Research.

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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