Manyan Wu
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- interferon and immune responses
Papers in
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- Circular RNAs in diseases 4
- Extracellular vesicles in disease 2
- Inflammasome and immune disorders 2
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- Acute Myocardial Infarction Research 3
- Co-authors
- Yuxia Cui (13 shared papers)Sufang Li (11 shared papers)Long Li (6 shared papers)Junxian Song (10 shared papers)Hong Chen (10 shared papers)Zheng Lian (4 shared papers)Chongyou Lee (7 shared papers)Lina Su (4 shared papers)
- Journals
- Sensors and Actuators B Chemical (2 papers)Frontiers in Cardiovascular Medicine (2 papers)Biochemical and Biophysical Research Communications (2 papers)Bioscience Reports (1 paper)Journal of Molecular and Cellular Cardiology (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Manyan Wu
17 papers receiving 295 citations
Peers
Comparison fields: 5 of 62
- Cancer Research 93
- Immunology 84
- Cardiology and Cardiovascular Medicine 70
- Molecular Biology 181
- Oncology 42
Countries citing papers authored by Manyan Wu
This map shows the geographic impact of Manyan Wu'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 Manyan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manyan Wu more than expected).
Fields of papers citing papers by Manyan Wu
This network shows the impact of papers produced by Manyan Wu. 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 Manyan Wu. The network helps show where Manyan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Manyan Wu, 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 | 2020 | 72 | |
| 2 | 2017 | 49 | |
| 3 | 2019 | 41 | |
| 4 | 2019 | 28 | |
| 5 | 2020 | 18 | |
| 6 | 2019 | 14 | |
| 7 | 2022 | 13 | |
| 8 | 2018 | 12 | |
| 9 | 2019 | 11 | |
| 10 | 2017 | 10 | |
| 11 | 2019 | 8 | |
| 12 | 2018 | 8 | |
| 13 | 2016 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2025 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2019 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | [Pathophysiologic mechanisms and risk management of cardiovascular disease in patients with rheumatoid arthritis]. | 2015 | 0 |
About Manyan Wu
Manyan Wu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Surgery and Biomedical Engineering, having authored 20 papers that have together received 298 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (4 papers), Acute Myocardial Infarction Research (3 papers), Cancer-related molecular mechanisms research (2 papers), Surface Modification and Superhydrophobicity (2 papers), Extracellular vesicles in disease (2 papers), Inflammasome and immune disorders (2 papers) and Lipoproteins and Cardiovascular Health (2 papers). The work is most often cited by research in Cancer Research (93 citations), Immunology (84 citations), Cardiology and Cardiovascular Medicine (70 citations), Molecular Biology (181 citations) and Oncology (42 citations). Manyan Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yuxia Cui, Sufang Li, Long Li, Junxian Song, Hong Chen, Zheng Lian, Chongyou Lee, Lina Su, Feng Zhang and Hong Chen. Their work appears in journals such as Sensors and Actuators B Chemical, Frontiers in Cardiovascular Medicine, Biochemical and Biophysical Research Communications, Bioscience Reports and Journal of Molecular and Cellular Cardiology.
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.