Yajun Gui
Impact in
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- Eicosanoids and Hypertension Pharmacology
Papers in
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- Hormonal Regulation and Hypertension 6
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- Eicosanoids and Hypertension Pharmacology 6
- Co-authors
- Danyan Xu (7 shared papers)Yuan Guo (5 shared papers)Jingyuan Chen (7 shared papers)Xiangying Deng (4 shared papers)Lin Zhao (2 shared papers)Tao Yang (3 shared papers)Qiong Liu (4 shared papers)Danyan Xu (5 shared papers)
- Journals
- International Journal of Cardiology (2 papers)Lipids in Health and Disease (2 papers)Molecular BioSystems (2 papers)Experimental Cell Research (2 papers)Cardiovascular Drugs and Therapy (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Yajun Gui
20 papers receiving 279 citations
Yajun Gui's Hit Papers
Peers
Comparison fields: 5 of 67
- Biochemistry 31
- Biological Psychiatry 7
- Cardiology and Cardiovascular Medicine 63
- Cancer Research 40
- Physiology 66
Countries citing papers authored by Yajun Gui
This map shows the geographic impact of Yajun Gui'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 Yajun Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yajun Gui more than expected).
Fields of papers citing papers by Yajun Gui
This network shows the impact of papers produced by Yajun Gui. 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 Yajun Gui. The network helps show where Yajun Gui may publish in the future.
Co-authors
The 25 scholars most cited alongside Yajun Gui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 66 | |
| 2 | 2017 | 33 | |
| 3 | 2015 | 26 | |
| 4 | The micro(nano)plastics perspective: exploring cancer development and therapy Hit paper breakdown → | 2025 | 25 |
| 5 | 2019 | 23 | |
| 6 | 2017 | 16 | |
| 7 | 2018 | 13 | |
| 8 | 2025 | 13 | |
| 9 | 2020 | 12 | |
| 10 | 2017 | 11 | |
| 11 | 2020 | 8 | |
| 12 | 2024 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2022 | 3 | |
| 17 | 2016 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2016 | 1 |
About Yajun Gui
Yajun Gui is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry, Cardiology and Cardiovascular Medicine, Physiology and Molecular Biology, having authored 21 papers that have together received 281 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (6 papers), Eicosanoids and Hypertension Pharmacology (6 papers), Lipoproteins and Cardiovascular Health (3 papers), Free Radicals and Antioxidants (2 papers), Ferroptosis and cancer prognosis (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Cancer-related molecular mechanisms research (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Biochemistry (31 citations), Biological Psychiatry (7 citations), Cardiology and Cardiovascular Medicine (63 citations), Cancer Research (40 citations) and Physiology (66 citations). Yajun Gui has collaborated with scholars based in China and United States. Frequent co-authors include Danyan Xu, Yuan Guo, Jingyuan Chen, Xiangying Deng, Lin Zhao, Tao Yang, Qiong Liu, Danyan Xu, Jiahui Hu and Shilan Zhang. Their work appears in journals such as International Journal of Cardiology, Lipids in Health and Disease, Molecular BioSystems, Experimental Cell Research and Cardiovascular Drugs and Therapy.
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.