Shi-He Cui

402 citations
11 papers · 293 · h-index 8

Impact in

    • Nanoparticle-Based Drug Delivery
    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques
    • Extracellular vesicles in disease
    • S100 Proteins and Annexins

Papers in

    • RNA Interference and Gene Delivery 3
    • Advanced biosensing and bioanalysis techniques 2
    • S100 Proteins and Annexins 1
    • MicroRNA in disease regulation 2

Shi-He Cui

11 papers receiving 293 citations

Peers

Shi-He Cui
Comparison fields: 5 of 65
  • Biomaterials 42
  • Molecular Biology 170
  • Cancer Research 32
  • Immunology 39
  • Nephrology 12
Replace Kristen L. Shogren with:
Kristen L. Shogren United States
Van Dat Bui South Korea
Eric Lu United States
Guorun Fan China
Zheng Ding United States
Olja Mijanović Russia
Haicheng Wang China
Kentaro Hashimoto Japan
Ana Branković Serbia
Feida Li China
Shi-He Cui relative to Kristen L. Shogren United States Kristen L. Shogren's profile →
Citations per field
00.5×10×15×
Kristen L. Shogren · 1×
Citations per year

Countries citing papers authored by Shi-He Cui

Since Specialization
Citations

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

Fields of papers citing papers by Shi-He Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2019101
2 202180
3 201927
4 202424
5 202016
6 202115
7 201911
8 20219
9 20256
10 20232
11 20242

About Shi-He Cui

Shi-He Cui is a scholar working on Molecular Biology, Cancer Research, Rheumatology, Biomedical Engineering and Surgery, having authored 11 papers that have together received 293 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (3 papers), MicroRNA in disease regulation (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper), Biomarkers in Disease Mechanisms (1 paper) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Biomaterials (42 citations), Molecular Biology (170 citations), Cancer Research (32 citations), Immunology (39 citations) and Nephrology (12 citations). Shi-He Cui has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Jiancheng Wang, Jing Sun, Qiang Zhang, Haitao Zhang, Xin Chen, Wei Wei, Yi Yan, Hong-Gang Qian, Matthias Kretzler and Liang Wu. Their work appears in journals such as Journal of Controlled Release, Kidney International, Nature Communications, ACS Nano and EP Europace.

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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