Grace Cui
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
-
- NF-κB Signaling Pathways 4
- Protease and Inhibitor Mechanisms 2
- Co-authors
- Xiaoxia Li (4 shared papers)Jinzhong Qin (3 shared papers)Youcun Qian (3 shared papers)Jianhong Yao (2 shared papers)Gregory M. Lanza (12 shared papers)Dipanjan Pan (8 shared papers)Anne H. Schmieder (9 shared papers)Xiaoxia Yang (6 shared papers)
- Journals
- Theranostics (5 papers)Nanomedicine Nanotechnology Biology and Medicine (3 papers)Journal of Biological Chemistry (3 papers)Molecular Cancer Therapeutics (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Grace Cui
19 papers receiving 717 citations
Peers
Comparison fields: 5 of 83
- Immunology 379
- Cancer Research 141
- Biomaterials 69
- Hematology 44
- Microbiology 20
Countries citing papers authored by Grace Cui
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 177 | |
| 2 | 2004 | 121 | |
| 3 | 2006 | 84 | |
| 4 | 2014 | 49 | |
| 5 | 2015 | 49 | |
| 6 | 2008 | 45 | |
| 7 | 2015 | 34 | |
| 8 | 2020 | 33 | |
| 9 | 2020 | 22 | |
| 10 | 1985 | 19 | |
| 11 | 2017 | 18 | |
| 12 | 2016 | 16 | |
| 13 | 2015 | 13 | |
| 14 | 2018 | 10 | |
| 15 | 2015 | 10 | |
| 16 | 2018 | 10 | |
| 17 | 2015 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2017 | 1 |
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.