Guo-Yi Su

1.1k citations
54 papers · 812 · h-index 18

Impact in

Papers in

Guo-Yi Su

52 papers receiving 806 citations

Peers

Guo-Yi Su
Comparison fields: 5 of 74
  • Pathology and Forensic Medicine 179
  • Radiology, Nuclear Medicine and Imaging 151
  • Otorhinolaryngology 28
  • Rheumatology 75
  • Endocrinology, Diabetes and Metabolism 73
Replace Lumír Hrabálek with:
Lumír Hrabálek Czechia
Wolfgang Marik Austria
Ryosuke Okumura Japan
R Donzelli Italy
José Alberto Landeiro Brazil
Jan‐Helge Klingler Germany
Wen-Chan Chiu Taiwan
Toshihiko Haisa Japan
Mark Radon United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Guo-Yi Su

Since Specialization
Citations

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

Fields of papers citing papers by Guo-Yi Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guo-Yi Su. 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 Guo-Yi Su. The network helps show where Guo-Yi Su may publish in the future.

Co-authors

The 25 scholars most cited alongside Guo-Yi Su, 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 Guo-Yi Su Line = papers co-authored together Guo-Yi Su 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 201870
2 202065
3 201642
4 201839
5 201635
6 201831
7 202031
8 201930
9 201729
10 201724
11 201423
12 202123
13 201720
14 201620
15 201618
16 201918
17 202017
18 201517
19 201616
20 201814

About Guo-Yi Su

Guo-Yi Su is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Biomedical Engineering, Surgery and Endocrinology, Diabetes and Metabolism, having authored 54 papers that have together received 812 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (9 papers), Advanced X-ray and CT Imaging (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Spine and Intervertebral Disc Pathology (6 papers), Thyroid Cancer Diagnosis and Treatment (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Cervical and Thoracic Myelopathy (4 papers) and Salivary Gland Disorders and Functions (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (179 citations), Radiology, Nuclear Medicine and Imaging (151 citations), Otorhinolaryngology (28 citations), Rheumatology (75 citations) and Endocrinology, Diabetes and Metabolism (73 citations). Guo-Yi Su has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiao‐Quan Xu, Hao Hu, Fei‐Yun Wu, Fei‐Yun Wu, Shudong Chen, Dingkun Lin, Zhifeng Xiao, Yu Hou, Hai‐Bin Shi and Hu Liu. Their work appears in journals such as Acta Radiologica, Journal of Magnetic Resonance Imaging, European Archives of Oto-Rhino-Laryngology, European Radiology and Korean Journal of Radiology.

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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