Yichen Wu
Impact in
- Communication top 10%
- Social Media and Politics
- Media Studies and Communication
-
- Stroke Rehabilitation and Recovery
Papers in
-
- Neuropeptides and Animal Physiology 3
- Co-authors
- Wayne Wanta (1 shared paper)Stefania Echeverry (2 shared papers)Ji Zhang (1 shared paper)Yves De Koninck (1 shared paper)Louis-Étienne Lorenzo (1 shared paper)Robert P. Bonin (1 shared paper)Xiang Shi (1 shared paper)Hao Huang (1 shared paper)
- Journals
- Experimental Neurology (1 paper)Circulation Research (1 paper)Archives of Gerontology and Geriatrics (1 paper)Advanced Science (1 paper)European Journal of Pharmacology (1 paper)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Yichen Wu
17 papers receiving 312 citations
Peers
Comparison fields: 5 of 92
- Communication 55
- Rehabilitation 33
- Physiology 116
- Cellular and Molecular Neuroscience 80
- Neurology 35
Countries citing papers authored by Yichen Wu
This map shows the geographic impact of Yichen 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 Yichen Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yichen Wu more than expected).
Fields of papers citing papers by Yichen Wu
This network shows the impact of papers produced by Yichen 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 Yichen Wu. The network helps show where Yichen Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yichen 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 | 2017 | 88 | |
| 2 | 1992 | 60 | |
| 3 | 2012 | 40 | |
| 4 | 2022 | 32 | |
| 5 | 2020 | 19 | |
| 6 | 2010 | 18 | |
| 7 | 2019 | 17 | |
| 8 | 2023 | 14 | |
| 9 | 2021 | 11 | |
| 10 | 2019 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2025 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2003 | 1 | |
| 18 | 2025 | 1 |
About Yichen Wu
Yichen Wu is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Physiology, Clinical Psychology and Oncology, having authored 18 papers that have together received 331 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (3 papers), Mindfulness and Compassion Interventions (2 papers), Stroke Rehabilitation and Recovery (2 papers), Pain Mechanisms and Treatments (2 papers), Social Media and Politics (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Transcranial Magnetic Stimulation Studies (1 paper) and Phagocytosis and Immune Regulation (1 paper). The work is most often cited by research in Communication (55 citations), Rehabilitation (33 citations), Physiology (116 citations), Cellular and Molecular Neuroscience (80 citations) and Neurology (35 citations). Yichen Wu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Wayne Wanta, Stefania Echeverry, Ji Zhang, Yves De Koninck, Louis-Étienne Lorenzo, Robert P. Bonin, Xiang Shi, Hao Huang, Jimena Pérez-Sánchez and Ji Zhang. Their work appears in journals such as Experimental Neurology, Circulation Research, Archives of Gerontology and Geriatrics, Advanced Science and European Journal of Pharmacology.
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.