Xin Hong
- Neurology top 10%
- Transcranial Magnetic Stimulation Studies 4
- Botulinum Toxin and Related Neurological Disorders 2
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies 7
- EEG and Brain-Computer Interfaces 3
- Rehabilitation top 10%
- Stroke Rehabilitation and Recovery 2
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- Advanced Neuroimaging Techniques and Applications 7
- Advanced MRI Techniques and Applications 4
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- Alzheimer's disease research and treatments 2
- Co-authors
- Kai‐Hsiang ChuangAlex R. CarterXuan Vinh ToCatherine E. LangM. A. UrbinIrvin TehAdam W. AndersonYihui Huang
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Xin Hong
19 papers receiving 555 citations
Peers
Comparison fields: 5 of 77
- Neurology 124
- Cognitive Neuroscience 240
- Rehabilitation 63
- Radiology, Nuclear Medicine and Imaging 169
- Cellular and Molecular Neuroscience 132
Countries citing papers authored by Xin Hong
This map shows the geographic impact of Xin Hong'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 Xin Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Hong more than expected).
Fields of papers citing papers by Xin Hong
This network shows the impact of papers produced by Xin Hong. 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 Xin Hong. The network helps show where Xin Hong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xin Hong, 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 | 2023 | 5 | |
| 2 | 2021 | 35 | |
| 3 | 2021 | 9 | |
| 4 | 2021 | 3 | |
| 5 | 2020 | 28 | |
| 6 | 2020 | 12 | |
| 7 | 2020 | 20 | |
| 8 | 2018 | 73 | |
| 9 | 2018 | 2 | |
| 10 | Femoral nerve repair using an H-type nerve regeneration chamber in rats. | 2017 | 2 |
| 11 | 2017 | 50 | |
| 12 | 2016 | 56 | |
| 13 | 2016 | 36 | |
| 14 | 2016 | 68 | |
| 15 | 2015 | 38 | |
| 16 | 2015 | 1 | |
| 17 | 2014 | 59 | |
| 18 | 2013 | 39 | |
| 19 | 2009 | 27 | |
| 20 | [The change of vWF in vascular endothelial cells under different stress]. | 2000 | 0 |
About Xin Hong
Xin Hong is a scholar working on Neurology, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 563 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (7 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Transcranial Magnetic Stimulation Studies (4 papers), Advanced MRI Techniques and Applications (4 papers), EEG and Brain-Computer Interfaces (3 papers), Stroke Rehabilitation and Recovery (2 papers), Botulinum Toxin and Related Neurological Disorders (2 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Neurology (124 citations), Cognitive Neuroscience (240 citations) and Rehabilitation (63 citations). Xin Hong has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Kai‐Hsiang Chuang, Alex R. Carter, Xuan Vinh To, Catherine E. Lang, M. A. Urbin, Irvin Teh, Adam W. Anderson, Yihui Huang, Lori R. Arlinghaus and Liang Tan. Their work appears in journals such as Scientific Reports, Frontiers in Neuroscience, Cortex, Neuroscience and Toxicology.
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.