Qiuting Wen

1.2k citations
54 papers · 737 indexed · h-index 14

Impact in

Papers in

Qiuting Wen

48 papers receiving 732 citations

Peers

Qiuting Wen
Comparison fields: 5 of 89
  • Radiology, Nuclear Medicine and Imaging 366
  • Cellular and Molecular Neuroscience 178
  • Genetics 62
  • Neurology 85
  • Computational Mathematics 3
Replace Greetje Vanhoutte with:
Greetje Vanhoutte Belgium
Jiangxi Xiao China
Ines Blockx Belgium
Kyle R. Padgett United States
Sung Jun Ahn South Korea
Fang Yu United States
Monika Bekiesińska‐Figatowska Poland
Romeu Côrtes Domingues Brazil
Anders Tisell Sweden
Chang Yueh Ho United States
Qiuting Wen relative to Greetje Vanhoutte Belgium Greetje Vanhoutte's profile →
Citations per field
00.5×4.8×
Greetje Vanhoutte · 1×
Citations per year

Countries citing papers authored by Qiuting Wen

Since Specialization
Citations

This map shows the geographic impact of Qiuting Wen'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 Qiuting Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiuting Wen more than expected).

Fields of papers citing papers by Qiuting Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qiuting Wen. 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 Qiuting Wen. The network helps show where Qiuting Wen may publish in the future.

Co-authors

The 25 scholars most cited alongside Qiuting Wen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Qiuting Wen Line = papers co-authored together Qiuting Wen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200986
2 201567
3 201966
4 201950
5 202342
6 202241
7 202435
8 202235
9 202033
10 201431
11
Snail promotes epithelial-mesenchymal transition and invasiveness in human ovarian cancer cells.
201527
12 202025
13 202213
14 202413
15 202312
16 202311
17 202011
18 202210
19 202410
20 20249

About Qiuting Wen

Qiuting Wen is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Neurology and Genetics, having authored 54 papers that have together received 737 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (21 papers), Advanced MRI Techniques and Applications (15 papers), Cerebrospinal fluid and hydrocephalus (14 papers), MRI in cancer diagnosis (11 papers), Traumatic Brain Injury and Neurovascular Disturbances (6 papers), Glioma Diagnosis and Treatment (5 papers), Functional Brain Connectivity Studies (5 papers) and Alzheimer's disease research and treatments (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (366 citations), Cellular and Molecular Neuroscience (178 citations), Genetics (62 citations), Neurology (85 citations) and Computational Mathematics (3 citations). Qiuting Wen has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yu‐Chien Wu, Ming Chen, Weiwei Yang, He Chen, Li Xu, Andrew J. Saykin, Shannon L. Risacher, Susan M. Chang, Janine Lupo and Li Feng. Their work appears in journals such as NeuroImage, Magnetic Resonance in Medicine, Journal of Cerebral Blood Flow & Metabolism, NMR in Biomedicine and Frontiers in Neuroscience.

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.

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