Long‐Xin Gui
Impact in
- Sensory Systems top 10%
- Ion Channels and Receptors
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Ion Transport and Channel Regulation 3
-
- Pulmonary Hypertension Research and Treatments 8
- Co-authors
- Mo‐Jun Lin (14 shared papers)James S.K. Sham (5 shared papers)Zhi‐Juan Wu (5 shared papers)Ruixing Wang (4 shared papers)Xiaoru Liu (2 shared papers)Shaokun Chen (2 shared papers)Yumei Li (2 shared papers)Xixi Zeng (2 shared papers)
- Journals
- Cellular Physiology and Biochemistry (3 papers)Hypertension (3 papers)Vascular Pharmacology (2 papers)Journal of Translational Medicine (1 paper)Journal of Hypertension (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Long‐Xin Gui
15 papers receiving 304 citations
Peers
Comparison fields: 5 of 70
- Sensory Systems 28
- Cancer Research 73
- Pulmonary and Respiratory Medicine 96
- Molecular Biology 168
- Hepatology 18
Countries citing papers authored by Long‐Xin Gui
This map shows the geographic impact of Long‐Xin 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 Long‐Xin Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long‐Xin Gui more than expected).
Fields of papers citing papers by Long‐Xin Gui
This network shows the impact of papers produced by Long‐Xin 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 Long‐Xin Gui. The network helps show where Long‐Xin Gui may publish in the future.
Co-authors
The 25 scholars most cited alongside Long‐Xin 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
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 58 | |
| 2 | 2018 | 58 | |
| 3 | 2020 | 30 | |
| 4 | 2022 | 29 | |
| 5 | 2018 | 28 | |
| 6 | 2019 | 22 | |
| 7 | 2016 | 21 | |
| 8 | 2021 | 16 | |
| 9 | 2016 | 12 | |
| 10 | 2020 | 10 | |
| 11 | 2023 | 7 | |
| 12 | 2019 | 5 | |
| 13 | 2024 | 5 | |
| 14 | 2022 | 3 | |
| 15 | 2025 | 1 | |
| 16 | 2020 | 0 |
About Long‐Xin Gui
Long‐Xin Gui is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Surgery and Cell Biology, having authored 16 papers that have together received 305 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (8 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers), Ion Transport and Channel Regulation (3 papers), Magnesium in Health and Disease (3 papers), Caveolin-1 and cellular processes (3 papers), MicroRNA in disease regulation (2 papers), Nitric Oxide and Endothelin Effects (2 papers) and Ion Channels and Receptors (2 papers). The work is most often cited by research in Sensory Systems (28 citations), Cancer Research (73 citations), Pulmonary and Respiratory Medicine (96 citations), Molecular Biology (168 citations) and Hepatology (18 citations). Long‐Xin Gui has collaborated with scholars based in China and United States. Frequent co-authors include Mo‐Jun Lin, James S.K. Sham, Zhi‐Juan Wu, Ruixing Wang, Xiaoru Liu, Shaokun Chen, Yumei Li, Xixi Zeng, Li Zhang and Xiaoyan Wang. Their work appears in journals such as Cellular Physiology and Biochemistry, Hypertension, Vascular Pharmacology, Journal of Translational Medicine and Journal of Hypertension.
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.