Deyu Sun

35 papers receiving 303 citations

Peers

Deyu Sun
Comparison fields: 5 of 77
  • Health Informatics 16
  • Cancer Research 60
  • Cardiology and Cardiovascular Medicine 73
  • Radiology, Nuclear Medicine and Imaging 39
  • Epidemiology 53
Replace Maria Teresa Vietri with:
Maria Teresa Vietri Italy
Rahul K. Arora Canada
Nicholas Meti Canada
Gareth Bryson United Kingdom
Weiming Mou China
Swati Satturwar United States
Ibrahim N. Muhsen United States
Éléonore Bettacchioli France
Aaron Maxwell United States
Deyu Sun relative to Maria Teresa Vietri Italy Maria Teresa Vietri's profile →
Citations per field
00.5×10×20×30×41×
Maria Teresa Vietri · 1×
Citations per year

Countries citing papers authored by Deyu Sun

Since Specialization
Citations

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

Fields of papers citing papers by Deyu Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201844
2 202037
3 201528
4 202322
5 201817
6 202117
7 201816
8 201915
9
Clinical efficacy of albendazole emulsion in treatment of 212 cases of liver cystic hydatidosis.
200215
10 201514
11 202013
12 20189
13 20119
14 20237
15 20216
16 20186
17 20085
18 20233
19
Anatomic surface reconstruction from sampled point cloud data and prior models.
20143
20
Causal Phenotyping for Susceptibility to Cardiotoxicity from Antineoplastic Breast Cancer Medications.
20173

About Deyu Sun

Deyu Sun is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Oncology and Epidemiology, having authored 43 papers that have together received 307 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (5 papers), Cardiac Valve Diseases and Treatments (4 papers), Cardiac Structural Anomalies and Repair (3 papers), Cardiac Imaging and Diagnostics (3 papers), MicroRNA in disease regulation (3 papers), Parathyroid Disorders and Treatments (3 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Health Informatics (16 citations), Cancer Research (60 citations), Cardiology and Cardiovascular Medicine (73 citations), Radiology, Nuclear Medicine and Imaging (39 citations) and Epidemiology (53 citations). Deyu Sun has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Roberto M. Lang, Victor Mor‐Avi, Kalie Kebed, JoAnn A. Giaconi, Karima Addetia, Amit R. Patel, Natasha Markuzon, Nina Rashedi, Husam H. Balkhy and Yajing Liu. Their work appears in journals such as World Journal of Surgical Oncology, International journal of cardiac imaging, Journal of the American College of Cardiology, Medical Physics and Annals of Palliative Medicine.

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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