Junqian Xu
- Cognitive Neuroscience top 0.2%
- Functional Brain Connectivity Studies 14
- Neural dynamics and brain function 4
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- Advanced Neuroimaging Techniques and Applications 29
- Advanced MRI Techniques and Applications 22
- MRI in cancer diagnosis 5
- Computational Mathematics top 5%
- Neurology top 2%
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- Multiple Sclerosis Research Studies 10
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- Bone and Joint Diseases 8
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- Atomic and Subatomic Physics Research 4
- Co-authors
- Jesper AnderssonMatthew F. GlasserDavid C. Van EssenMark JenkinsonStamatios N. SotiropoulosSaâd JbabdiTimothy S. CoalsonEssa Yacoub
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Neuron (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Junqian Xu
57 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Cognitive Neuroscience 5.6k
- Radiology, Nuclear Medicine and Imaging 4.5k
- Computational Mathematics 39
- Experimental and Cognitive Psychology 722
- Neurology 305
Countries citing papers authored by Junqian Xu
This map shows the geographic impact of Junqian 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 Junqian Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junqian Xu more than expected).
Fields of papers citing papers by Junqian Xu
This network shows the impact of papers produced by Junqian 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 Junqian Xu. The network helps show where Junqian Xu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Junqian 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 14 | |
| 6 | 2022 | 29 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 12 | |
| 9 | 2021 | 17 | |
| 10 | 2021 | 24 | |
| 11 | 2021 | 2 | |
| 12 | 2019 | 29 | |
| 13 | 2018 | 18 | |
| 14 | 2018 | 25 | |
| 15 | 2016 | 34 | |
| 16 | 2014 | 98 | |
| 17 | 2013 | 142 | |
| 18 | Advances in diffusion MRI acquisition and processing in the Human Connectome Projectbreakdown → | 2013 | 627 |
| 19 | 2013 | 29 | |
| 20 | 2009 | 86 |
About Junqian Xu
Junqian Xu is a scholar working on Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine and Cognitive Neuroscience, having authored 59 papers that have together received 8.3k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (29 papers), Advanced MRI Techniques and Applications (22 papers), Functional Brain Connectivity Studies (14 papers), Multiple Sclerosis Research Studies (10 papers), Bone and Joint Diseases (8 papers), MRI in cancer diagnosis (5 papers), Neural dynamics and brain function (4 papers) and Atomic and Subatomic Physics Research (4 papers). The work is most often cited by research in Cognitive Neuroscience (5.6k citations), Radiology, Nuclear Medicine and Imaging (4.5k citations) and Computational Mathematics (39 citations). Junqian Xu has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Jesper Andersson, Matthew F. Glasser, David C. Van Essen, Mark Jenkinson, Stamatios N. Sotiropoulos, Saâd Jbabdi, Timothy S. Coalson, Essa Yacoub, Kâmil Uǧurbil and Joshua Wilson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron 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.