Fang Sun
- Surgery top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Public Health, Environmental and Occupational Health top 10%
- Nephrology top 5%
- Epidemiology
- Co-authors
- Jonathan TreadwellKaren M SchoellesYilun ZhouLijie MaGuanghe CuiYang ShenMiao MiaoYue Zhang
- Topics
- Dialysis and Renal Disease Management (10 papers)Blood Pressure and Hypertension Studies (7 papers)Radiomics and Machine Learning in Medical Imaging (7 papers)
- Cited by
- NephrologyPharmacyHealth Informatics
- Journals
- SHILAP Revista de lepidopterologíaAnnals of SurgeryScientific Reports
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Fang Sun
56 papers receiving 987 citations
Peers
Comparison fields: 5 of 132
- Surgery 310
- Radiology, Nuclear Medicine and Imaging 170
- Public Health, Environmental and Occupational Health 154
- Nephrology 152
- Epidemiology 143
Countries citing papers authored by Fang Sun
This map shows the geographic impact of Fang 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 Fang Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Sun more than expected).
Fields of papers citing papers by Fang Sun
This network shows the impact of papers produced by Fang 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 Fang Sun. The network helps show where Fang Sun may publish in the future.
Co-authorship network of co-authors of Fang Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Fang Sun. A scholar is included among the top collaborators of Fang Sun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fang Sun. Fang Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 4 | |
| 3 | 27 | |
| 4 | 40 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 18 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 26 | |
| 12 | 62 | |
| 13 | 11 | |
| 14 | 13 | |
| 15 | 10 | |
| 16 | 7 | |
| 17 | Association of insulin resistance with common carotid arterial stiffness in hemodialysis patients | 1 |
| 18 | 198 | |
| 19 | [Clinical and laboratory screening studies on urea cycle defects]. | 4 |
| 20 | Study on the sensitivity and vulnerability of wheat to climate change in China | 10 |
About Fang Sun
Fang Sun is a scholar working on Nephrology, Health Informatics and Radiology, Nuclear Medicine and Imaging, having authored 56 papers that have together received 1.0k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (10 papers), Blood Pressure and Hypertension Studies (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). The work is most often cited by research in Nephrology (152 citations), Pharmacy (99 citations) and Health Informatics (14 citations). Fang Sun has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jonathan Treadwell, Karen M Schoelles, Yilun Zhou, Lijie Ma, Guanghe Cui, Yang Shen, Miao Miao, Yue Zhang, Ying Zou and Xirong Guo. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of Surgery and Scientific Reports.
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.