Mengxia Fu
Impact in
-
- Cardiovascular Disease and Adiposity
- Cardiac Valve Diseases and Treatments
- Cardiac Fibrosis and Remodeling
Papers in
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- Cardiovascular Disease and Adiposity 7
- Cardiac Valve Diseases and Treatments 5
- Co-authors
- Lian Xu (6 shared papers)Jiangping Song (7 shared papers)Maoqing Ye (6 shared papers)Xiaohong Chen (6 shared papers)Cheng‐Chao Ruan (3 shared papers)Pingjin Gao (3 shared papers)Dongrui Chen (3 shared papers)Weiqing Han (2 shared papers)
- Journals
- BMC Medicine (3 papers)Arteriosclerosis Thrombosis and Vascular Biology (3 papers)Journal of Visualized Experiments (2 papers)Journal of Neurochemistry (1 paper)BMB Reports (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Mengxia Fu
22 papers receiving 306 citations
Peers
Comparison fields: 5 of 57
- Cardiology and Cardiovascular Medicine 158
- Developmental Neuroscience 13
- Physiology 63
- Immunology 43
- Cancer Research 30
Countries citing papers authored by Mengxia Fu
This map shows the geographic impact of Mengxia Fu'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 Mengxia Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengxia Fu more than expected).
Fields of papers citing papers by Mengxia Fu
This network shows the impact of papers produced by Mengxia Fu. 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 Mengxia Fu. The network helps show where Mengxia Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mengxia Fu, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 46 | |
| 2 | 2023 | 37 | |
| 3 | 2018 | 35 | |
| 4 | 2019 | 32 | |
| 5 | 2019 | 25 | |
| 6 | 2019 | 25 | |
| 7 | 2023 | 16 | |
| 8 | 2024 | 15 | |
| 9 | 2024 | 14 | |
| 10 | 2024 | 14 | |
| 11 | 2022 | 13 | |
| 12 | 2021 | 12 | |
| 13 | 2020 | 11 | |
| 14 | 2020 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2018 | 2 | |
| 17 | 2020 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2022 | 1 |
About Mengxia Fu
Mengxia Fu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Pulmonary and Respiratory Medicine, Surgery and Oncology, having authored 27 papers that have together received 309 indexed citations. Recurring topics across this work include Cardiovascular Disease and Adiposity (7 papers), Cardiac Valve Diseases and Treatments (5 papers), Adipose Tissue and Metabolism (4 papers), Global Cancer Incidence and Screening (4 papers), Infective Endocarditis Diagnosis and Management (3 papers), Aortic aneurysm repair treatments (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Colorectal Cancer Screening and Detection (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (158 citations), Developmental Neuroscience (13 citations), Physiology (63 citations), Immunology (43 citations) and Cancer Research (30 citations). Mengxia Fu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Lian Xu, Jiangping Song, Maoqing Ye, Xiaohong Chen, Cheng‐Chao Ruan, Pingjin Gao, Dongrui Chen, Weiqing Han, Songren Shu and Jingrong Lin. Their work appears in journals such as BMC Medicine, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Visualized Experiments, Journal of Neurochemistry and BMB Reports.
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.