Heying Cui

593 citations
11 papers · 440 · 1 hit paper · h-index 7

Impact in

Papers in

    • Microtubule and mitosis dynamics 9
    • Cellular transport and secretion 4
    • Nuclear Structure and Function 4
    • Genomics and Chromatin Dynamics 2
    • DNA Repair Mechanisms 1

Heying Cui

11 papers receiving 431 citations

Heying Cui's Hit Papers

How Can Synergism of Traditional Medicines Benefit from Network Pharmacology? 2017 · 350 citations
3500+3+6Years since publication100200300

Peers

Heying Cui
Comparison fields: 5 of 77
  • Pharmacology 119
  • Complementary and alternative medicine 86
  • Drug Discovery 1
  • Cell Biology 63
  • Pharmacology 62
Replace Tianli Pei with:
Tianli Pei China
Won-Yung Lee South Korea
Glanice K.Y. Chu Hong Kong
Huanhuan Ren China
František Dráfi Slovakia
Weiling Pu China
Sullim Lee South Korea
Tianhui Gao China
Muxin Gong China
Heying Cui relative to Tianli Pei China Tianli Pei's profile →
Citations per field
00.5×3.5×
Tianli Pei · 1×
Citations per year

Countries citing papers authored by Heying Cui

Since Specialization
Citations

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

Fields of papers citing papers by Heying Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Heying 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 Heying Cui Line = papers co-authored together Heying Cui links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
How Can Synergism of Traditional Medicines Benefit from Network Pharmacology?
Hit paper breakdown →
2017350
2 201917
3 201716
4 202214
5 202012
6 201911
7 201811
8 20186
9 20241
10 20211
11 20181

About Heying Cui

Heying Cui is a scholar working on Cell Biology, Molecular Biology, Oncology, Genetics and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 440 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (9 papers), Nuclear Structure and Function (4 papers), Cellular transport and secretion (4 papers), Genetic and Kidney Cyst Diseases (2 papers), Cancer-related Molecular Pathways (2 papers), Genomics and Chromatin Dynamics (2 papers), Computational Drug Discovery Methods (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Pharmacology (119 citations), Complementary and alternative medicine (86 citations), Drug Discovery (1 citation), Cell Biology (63 citations) and Pharmacology (62 citations). Heying Cui has collaborated with scholars based in United States and China. Frequent co-authors include Hai-Dan Yuan, Guancheng Liu, Guangchun Piao, Qianqian Ma, Wei Li, Xiaoyan Zhao, Sozanne R. Solmaz, Erik Debler, Kaiqi Zhang and Puja Goyal. Their work appears in journals such as Biochemistry, Journal of Visualized Experiments, Traffic, Cell Cycle and The Journal of Physical Chemistry Letters.

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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