Fei Sun

1.3k citations
68 papers · 961 · h-index 18

Impact in

  • Urology top 2%
    • Urinary Bladder and Prostate Research
    • Urological Disorders and Treatments
    • MRI in cancer diagnosis
    • Advanced MRI Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging

Papers in

Fei Sun

65 papers receiving 945 citations

Peers

Fei Sun
Comparison fields: 5 of 84
  • Urology 203
  • Radiology, Nuclear Medicine and Imaging 188
  • Pulmonary and Respiratory Medicine 224
  • Equine 9
  • Obstetrics and Gynecology 33
Replace Keiji Oi with:
Keiji Oi Japan
Luigi Mearini Italy
İlker Tınay Türkiye
Zhichun Feng China
K Fält Sweden
Anne‐Marie Coady United Kingdom
Murtaza Emre Durakoğlugil Türkiye
Rosa Maria Paragliola Italy
Rebecca I. Schneider United States
Nicholas MacLeod United Kingdom
Fei Sun relative to Keiji Oi Japan Keiji Oi's profile →
Citations per field
00.5×6.8×
Keiji Oi · 1×
Citations per year

Countries citing papers authored by Fei Sun

Since Specialization
Citations

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

Fields of papers citing papers by Fei Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200881
2 200776
3 201556
4 200741
5 200739
6 201539
7 200933
8 200833
9 201330
10 201630
11 201130
12 201726
13 201725
14 200325
15 201124
16 201323
17 201223
18 200820
19 201517
20 201215

About Fei Sun

Fei Sun is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Urology, Cardiology and Cardiovascular Medicine and Surgery, having authored 68 papers that have together received 961 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (13 papers), Urinary Bladder and Prostate Research (10 papers), Prostate Cancer Diagnosis and Treatment (6 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Ureteral procedures and complications (3 papers), Cardiac and Coronary Surgery Techniques (3 papers), Cardiac Imaging and Diagnostics (3 papers) and Aortic Disease and Treatment Approaches (3 papers). The work is most often cited by research in Urology (203 citations), Radiology, Nuclear Medicine and Imaging (188 citations), Pulmonary and Respiratory Medicine (224 citations), Equine (9 citations) and Obstetrics and Gynecology (33 citations). Fei Sun has collaborated with scholars based in Spain, China and United States. Frequent co-authors include Francisco M. Sánchez‐Margallo, Verónica Crisóstomo, Claudia Báez-Díaz, Manuel Maynar, Jesús Usón, Carmen López‐Sánchez, Virginio García‐Martínez, Huadan Xue, Zhengyu Jin and Shuo Li. Their work appears in journals such as CardioVascular and Interventional Radiology, European Journal of Radiology, Journal of Pediatric Surgery, Journal of Magnetic Resonance Imaging and 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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