Heying Cui
Impact in
- Pharmacology top 10%
- Pharmacological Effects of Natural Compounds
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- Traditional Chinese Medicine Analysis
Papers in
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- Microtubule and mitosis dynamics 9
- Cellular transport and secretion 4
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- Nuclear Structure and Function 4
- Genomics and Chromatin Dynamics 2
- Gene expression and cancer classification 1
- Co-authors
- Xiaoyan Zhao (1 shared paper)Guancheng Liu (1 shared paper)Guangchun Piao (1 shared paper)Hai-Dan Yuan (1 shared paper)Wei Li (1 shared paper)Qianqian Ma (1 shared paper)Sozanne R. Solmaz (10 shared papers)Erik Debler (3 shared papers)
- Journals
- Biochemistry (2 papers)Journal of Visualized Experiments (2 papers)Life Science Alliance (1 paper)The Journal of Physical Chemistry Letters (1 paper)Cell Cycle (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Heying Cui
11 papers receiving 447 citations
Heying Cui's Hit Papers
Peers
Comparison fields: 5 of 76
- Pharmacology 77
- Complementary and alternative medicine 61
- Drug Discovery 1
- Cell Biology 62
- Biological Psychiatry 8
Countries citing papers authored by Heying Cui
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | How Can Synergism of Traditional Medicines Benefit from Network Pharmacology? Hit paper breakdown → | 2017 | 366 |
| 2 | 2019 | 16 | |
| 3 | 2017 | 16 | |
| 4 | 2022 | 14 | |
| 5 | 2020 | 12 | |
| 6 | 2018 | 11 | |
| 7 | 2019 | 11 | |
| 8 | 2018 | 6 | |
| 9 | 2024 | 1 | |
| 10 | 2021 | 1 | |
| 11 | 2018 | 1 |
About Heying Cui
Heying Cui is a scholar working on Cell Biology, Molecular Biology, Oncology, Genetics and Pharmacology, having authored 11 papers that have together received 455 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), Cancer-related Molecular Pathways (2 papers), Genetic and Kidney Cyst Diseases (2 papers), Genomics and Chromatin Dynamics (2 papers), Gene expression and cancer classification (1 paper) and Pharmacological Effects of Natural Compounds (1 paper). The work is most often cited by research in Pharmacology (77 citations), Complementary and alternative medicine (61 citations), Drug Discovery (1 citation), Cell Biology (62 citations) and Biological Psychiatry (8 citations). Heying Cui has collaborated with scholars based in United States and China. Frequent co-authors include Xiaoyan Zhao, Guancheng Liu, Guangchun Piao, Hai-Dan Yuan, Wei Li, Qianqian Ma, Sozanne R. Solmaz, Erik Debler, Puja Goyal and Kaiqi Zhang. Their work appears in journals such as Biochemistry, Journal of Visualized Experiments, Life Science Alliance, The Journal of Physical Chemistry Letters and Cell Cycle.
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.