Hui‐Xin Qi
- Cognitive Neuroscience top 1%
- Neurology top 1%
- Cellular and Molecular Neuroscience top 5%
- Biomedical Engineering top 10%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Jon H. KaasIwona StepniewskaNeeraj JainOmar A. GharbawieJamie L. ReedChristine E. CollinsM.-C. Hepp-ReymondMark J. Burish
- Topics
- Transcranial Magnetic Stimulation Studies (23 papers)Neural dynamics and brain function (19 papers)Muscle activation and electromyography studies (13 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceSHILAP Revista de lepidopterología
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Hui‐Xin Qi
56 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 95
- Cognitive Neuroscience 1.5k
- Neurology 740
- Cellular and Molecular Neuroscience 599
- Biomedical Engineering 373
- Pathology and Forensic Medicine 316
Countries citing papers authored by Hui‐Xin Qi
This map shows the geographic impact of Hui‐Xin Qi'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 Hui‐Xin Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui‐Xin Qi more than expected).
Fields of papers citing papers by Hui‐Xin Qi
This network shows the impact of papers produced by Hui‐Xin Qi. 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 Hui‐Xin Qi. The network helps show where Hui‐Xin Qi may publish in the future.
Co-authorship network of co-authors of Hui‐Xin Qi
This figure shows the co-authorship network connecting the top 25 collaborators of Hui‐Xin Qi. A scholar is included among the top collaborators of Hui‐Xin Qi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hui‐Xin Qi. Hui‐Xin Qi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 18 | |
| 3 | 2 | |
| 4 | 21 | |
| 5 | 0 | |
| 6 | 9 | |
| 7 | 22 | |
| 8 | 20 | |
| 9 | 13 | |
| 10 | 52 | |
| 11 | 107 | |
| 12 | 58 | |
| 13 | 150 | |
| 14 | 82 | |
| 15 | 19 | |
| 16 | Reorganization of somatosensory cortical area 3b following early postnatal dorsal column lesions in macaque monkeys | 4 |
| 17 | 95 | |
| 18 | 14 | |
| 19 | 99 | |
| 20 | 111 |
About Hui‐Xin Qi
Hui‐Xin Qi is a scholar working on Neurology, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 60 papers that have together received 2.3k indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (23 papers), Neural dynamics and brain function (19 papers) and Muscle activation and electromyography studies (13 papers). The work is most often cited by research in Neurology (740 citations), Cognitive Neuroscience (1.5k citations) and Cellular and Molecular Neuroscience (599 citations). Hui‐Xin Qi has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Jon H. Kaas, Iwona Stepniewska, Neeraj Jain, Omar A. Gharbawie, Jamie L. Reed, Christine E. Collins, M.-C. Hepp-Reymond, Mark J. Burish, Sherre L. Florence and Todd M. Preuss. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.