Shun Qi

848 citations
38 papers · 625 · h-index 17

Impact in

    • Functional Brain Connectivity Studies
    • Transcranial Magnetic Stimulation Studies
    • Traumatic Brain Injury and Neurovascular Disturbances

Papers in

Shun Qi

37 papers receiving 614 citations

Peers

Shun Qi
Comparison fields: 5 of 87
  • Cognitive Neuroscience 162
  • Neurology 53
  • Behavioral Neuroscience 17
  • Radiology, Nuclear Medicine and Imaging 99
  • Biological Psychiatry 7
Replace Sunjay Shah with:
Sunjay Shah United States
Fernando Fernandes Paiva Brazil
N. Yokota Japan
Jingming Hou China
Fabrizio Cocciolillo Italy
Matilda Papathanasiou Greece
Efrat Sasson Israel
Chengde Liao China
Shun Qi relative to Sunjay Shah United States Sunjay Shah's profile →
Citations per field
00.5×1.5×2.3×
Sunjay Shah · 1×
Citations per year

Countries citing papers authored by Shun Qi

Since Specialization
Citations

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

Fields of papers citing papers by Shun Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shun Qi, 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 Shun Qi Line = papers co-authored together Shun Qi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201563
2 201743
3 201243
4 201442
5 201441
6 201740
7 201531
8 201328
9 202222
10 201422
11 201221
12 202121
13 201621
14 201619
15 202217
16 202216
17 201516
18
Lymph node metastasis in patients with gastric cancer: a multi-modality, morphologic and functional imaging study.
201615
19 201713
20 201611

About Shun Qi

Shun Qi is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Surgery, Neurology and Molecular Biology, having authored 38 papers that have together received 625 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (13 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Transcranial Magnetic Stimulation Studies (4 papers), Advanced MRI Techniques and Applications (4 papers), MRI in cancer diagnosis (3 papers), Psychosomatic Disorders and Their Treatments (3 papers), Medical Imaging Techniques and Applications (2 papers) and Nanoparticle-Based Drug Delivery (2 papers). The work is most often cited by research in Cognitive Neuroscience (162 citations), Neurology (53 citations), Behavioral Neuroscience (17 citations), Radiology, Nuclear Medicine and Imaging (99 citations) and Biological Psychiatry (7 citations). Shun Qi has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Hong Yin, Long‐Biao Cui, Huaning Wang, Yi Huan, Lize Xiong, Feng Cao, Zhenwu Li, Yuewen Hao, Ying Liu and Lijun Sun. Their work appears in journals such as Medicine, Frontiers in Psychiatry, Frontiers in Neuroscience, Scientific Reports and Inflammation 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.

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