Haochen Xu
Impact in
-
- Neuroinflammation and Neurodegeneration Mechanisms
- Intracerebral and Subarachnoid Hemorrhage Research
- Neurological Disease Mechanisms and Treatments
Papers in
-
- Kruppel-like factors research 3
- Protein Structure and Dynamics 3
-
- Millimeter-Wave Propagation and Modeling 4
- Advanced MIMO Systems Optimization 4
- Co-authors
- Ping Cai (3 shared papers)Ximin Zhu (3 shared papers)Wenying Fan (3 shared papers)Yiqin Dai (2 shared papers)Bing–Qiao Zhao (2 shared papers)Hongxuan Liu (2 shared papers)Changlong Hu (1 shared paper)Lixiang Wang (1 shared paper)
- Journals
- Journal of Cardiovascular Translational Research (2 papers)Stem Cells (1 paper)Journal of Membrane Science (1 paper)Scientific Reports (1 paper)Translational Stroke Research (1 paper)
- Partner nations
- ChinaUnited StatesQatar
In The Last Decade
Haochen Xu
23 papers receiving 324 citations
Peers
Comparison fields: 5 of 86
- Neurology 45
- Developmental Neuroscience 16
- Neurology 32
- Biophysics 12
- Atomic and Molecular Physics, and Optics 47
Countries citing papers authored by Haochen Xu
This map shows the geographic impact of Haochen Xu'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 Haochen Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haochen Xu more than expected).
Fields of papers citing papers by Haochen Xu
This network shows the impact of papers produced by Haochen Xu. 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 Haochen Xu. The network helps show where Haochen Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Haochen Xu, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 76 | |
| 2 | 2022 | 58 | |
| 3 | 2016 | 25 | |
| 4 | 2015 | 23 | |
| 5 | 2020 | 21 | |
| 6 | 2022 | 20 | |
| 7 | 2023 | 17 | |
| 8 | 2020 | 16 | |
| 9 | 2023 | 16 | |
| 10 | 2019 | 12 | |
| 11 | 2023 | 10 | |
| 12 | 2024 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2019 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2019 | 4 | |
| 17 | 2021 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2019 | 2 |
About Haochen Xu
Haochen Xu is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Epidemiology, Aerospace Engineering and Cancer Research, having authored 25 papers that have together received 334 indexed citations. Recurring topics across this work include Millimeter-Wave Propagation and Modeling (4 papers), Advanced MIMO Systems Optimization (4 papers), Kruppel-like factors research (3 papers), Acute Ischemic Stroke Management (3 papers), Protein Structure and Dynamics (3 papers), MicroRNA in disease regulation (2 papers), Photorefractive and Nonlinear Optics (2 papers) and Aluminum Alloy Microstructure Properties (2 papers). The work is most often cited by research in Neurology (45 citations), Developmental Neuroscience (16 citations), Neurology (32 citations), Biophysics (12 citations) and Atomic and Molecular Physics, and Optics (47 citations). Haochen Xu has collaborated with scholars based in China, United States and Qatar. Frequent co-authors include Ping Cai, Ximin Zhu, Wenying Fan, Yiqin Dai, Bing–Qiao Zhao, Hongxuan Liu, Changlong Hu, Lixiang Wang, Ping Zheng and Daoxin Dai. Their work appears in journals such as Journal of Cardiovascular Translational Research, Stem Cells, Journal of Membrane Science, Scientific Reports and Translational Stroke Research.
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.