Yusen Chen
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Geriatrics and Gerontology top 10%
Papers in
-
- Extracellular vesicles in disease 4
- RNA regulation and disease 3
- Metabolomics and Mass Spectrometry Studies 3
-
- Acute Ischemic Stroke Management 5
- Autophagy in Disease and Therapy 4
- Co-authors
- Yanfang Chen (9 shared papers)Bin Zhao (9 shared papers)Xiaotang Ma (7 shared papers)Ji Bihl (6 shared papers)Xiang Xiao (4 shared papers)Jinju Wang (6 shared papers)Liangqing Zhang (3 shared papers)Du Feng (3 shared papers)
- Journals
- Hypertension Research (3 papers)Journal of Cellular Biochemistry (2 papers)Journal of Stroke and Cerebrovascular Diseases (2 papers)FEBS Letters (2 papers)British Journal of Haematology (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yusen Chen
41 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 98
- Cancer Research 258
- Geriatrics and Gerontology 39
- Epidemiology 303
- Neurology 72
- Molecular Biology 592
Countries citing papers authored by Yusen Chen
This map shows the geographic impact of Yusen Chen'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 Yusen Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusen Chen more than expected).
Fields of papers citing papers by Yusen Chen
This network shows the impact of papers produced by Yusen Chen. 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 Yusen Chen. The network helps show where Yusen Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yusen Chen, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 161 | |
| 2 | 2014 | 121 | |
| 3 | 2015 | 83 | |
| 4 | 2011 | 80 | |
| 5 | 2015 | 65 | |
| 6 | 2015 | 49 | |
| 7 | 2016 | 46 | |
| 8 | 2003 | 45 | |
| 9 | 2017 | 31 | |
| 10 | 2020 | 30 | |
| 11 | 2003 | 27 | |
| 12 | 2004 | 26 | |
| 13 | 2018 | 25 | |
| 14 | 2016 | 22 | |
| 15 | 2016 | 21 | |
| 16 | 2004 | 18 | |
| 17 | 2020 | 15 | |
| 18 | 2021 | 15 | |
| 19 | 2018 | 15 | |
| 20 | 2014 | 13 |
About Yusen Chen
Yusen Chen is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Neurology and Oncology, having authored 42 papers that have together received 1.0k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Acute Ischemic Stroke Management (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Autophagy in Disease and Therapy (4 papers), Extracellular vesicles in disease (4 papers), RNA regulation and disease (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Cancer Research (258 citations), Geriatrics and Gerontology (39 citations), Epidemiology (303 citations), Neurology (72 citations) and Molecular Biology (592 citations). Yusen Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yanfang Chen, Bin Zhao, Xiaotang Ma, Ji Bihl, Xiang Xiao, Jinju Wang, Liangqing Zhang, Du Feng, Wen Li and Haixia Zhuang. Their work appears in journals such as Hypertension Research, Journal of Cellular Biochemistry, Journal of Stroke and Cerebrovascular Diseases, FEBS Letters and British Journal of Haematology.
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.