Sun Yu
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
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- Prostate Cancer Diagnosis and Treatment 8
-
- Escherichia coli research studies 10
- Vibrio bacteria research studies 4
- Co-authors
- Catherine Mitchell (9 shared papers)Annette Haworth (14 shared papers)Hayley M. Reynolds (12 shared papers)Scott Williams (11 shared papers)Darren Wraith (6 shared papers)Alex Boussioutas (2 shared papers)Rita A. Busuttil (2 shared papers)Zhenning Wang (6 shared papers)
- Journals
- Medical Physics (3 papers)Cancer Management and Research (2 papers)Cancer (2 papers)Nature Communications (2 papers)Journal of Thoracic Oncology (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Sun Yu
81 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 122
- Endocrinology 94
- Molecular Medicine 82
- Oncology 297
- Radiology, Nuclear Medicine and Imaging 224
- Pulmonary and Respiratory Medicine 285
Countries citing papers authored by Sun Yu
This map shows the geographic impact of Sun Yu'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 Sun Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun Yu more than expected).
Fields of papers citing papers by Sun Yu
This network shows the impact of papers produced by Sun Yu. 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 Sun Yu. The network helps show where Sun Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Sun Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 195 | |
| 2 | 2017 | 88 | |
| 3 | 2019 | 85 | |
| 4 | 2018 | 73 | |
| 5 | 2017 | 66 | |
| 6 | 2020 | 54 | |
| 7 | 2004 | 50 | |
| 8 | 2010 | 42 | |
| 9 | 2020 | 40 | |
| 10 | 2009 | 33 | |
| 11 | 2019 | 32 | |
| 12 | 2018 | 31 | |
| 13 | 2020 | 30 | |
| 14 | 2019 | 29 | |
| 15 | 2019 | 29 | |
| 16 | 2006 | 27 | |
| 17 | 2017 | 27 | |
| 18 | 2000 | 27 | |
| 19 | 2019 | 25 | |
| 20 | 2018 | 20 |
About Sun Yu
Sun Yu is a scholar working on Pulmonary and Respiratory Medicine, Endocrinology, Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 94 papers that have together received 1.4k indexed citations. Recurring topics across this work include Escherichia coli research studies (10 papers), Prostate Cancer Diagnosis and Treatment (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Antibiotic Resistance in Bacteria (5 papers), Colorectal Cancer Surgical Treatments (5 papers), Vibrio bacteria research studies (4 papers), Advanced Computational Techniques and Applications (4 papers) and Salmonella and Campylobacter epidemiology (4 papers). The work is most often cited by research in Endocrinology (94 citations), Molecular Medicine (82 citations), Oncology (297 citations), Radiology, Nuclear Medicine and Imaging (224 citations) and Pulmonary and Respiratory Medicine (285 citations). Sun Yu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Catherine Mitchell, Annette Haworth, Hayley M. Reynolds, Scott Williams, Darren Wraith, Alex Boussioutas, Rita A. Busuttil, Zhenning Wang, Yukuan Huang and Minyu Wang. Their work appears in journals such as Medical Physics, Cancer Management and Research, Cancer, Nature Communications and Journal of Thoracic Oncology.
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.