Ling Sun
Impact in
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
- Nephrology 10
- Chronic Kidney Disease and Diabetes 7
- Dialysis and Renal Disease Management 3
- Hematology 10
- Erythropoietin and Anemia Treatment 3
- Iron Metabolism and Disorders 3
- Co-authors
- Lu‐Xi Zou (19 shared papers)Philippe Sucosky (3 shared papers)Qiyong Gong (3 shared papers)Santanu Chandra (1 shared paper)Kui Luo (2 shared papers)Nalini M. Rajamannan (1 shared paper)Min Wu (2 shared papers)Hao Cai (1 shared paper)
- Journals
- PLoS ONE (3 papers)Renal Failure (3 papers)Magnetic Resonance in Medicine (2 papers)Scientific Reports (1 paper)International Journal of Infectious Diseases (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ling Sun
55 papers receiving 916 citations
Peers
Comparison fields: 5 of 111
- Nephrology 84
- Biomaterials 166
- Cardiology and Cardiovascular Medicine 164
- Infectious Diseases 103
- Hematology 52
Countries citing papers authored by Ling Sun
This map shows the geographic impact of Ling 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 Ling Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Sun more than expected).
Fields of papers citing papers by Ling Sun
This network shows the impact of papers produced by Ling 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 Ling Sun. The network helps show where Ling Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Sun, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 107 | |
| 2 | 2018 | 105 | |
| 3 | 2012 | 79 | |
| 4 | 2013 | 68 | |
| 5 | 2016 | 55 | |
| 6 | 2016 | 47 | |
| 7 | 2013 | 37 | |
| 8 | 2020 | 36 | |
| 9 | 2010 | 34 | |
| 10 | 2018 | 32 | |
| 11 | 2019 | 31 | |
| 12 | 2020 | 25 | |
| 13 | 1995 | 25 | |
| 14 | 1997 | 24 | |
| 15 | 2018 | 23 | |
| 16 | 2016 | 19 | |
| 17 | 2016 | 14 | |
| 18 | 2022 | 14 | |
| 19 | 1993 | 13 | |
| 20 | 2011 | 12 |
About Ling Sun
Ling Sun is a scholar working on Nephrology, Hematology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 59 papers that have together received 932 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (7 papers), Viral Infections and Vectors (4 papers), Cardiac Valve Diseases and Treatments (4 papers), Advanced MRI Techniques and Applications (4 papers), Erythropoietin and Anemia Treatment (3 papers), Iron Metabolism and Disorders (3 papers), Dialysis and Renal Disease Management (3 papers) and Aortic Disease and Treatment Approaches (3 papers). The work is most often cited by research in Nephrology (84 citations), Biomaterials (166 citations), Cardiology and Cardiovascular Medicine (164 citations), Infectious Diseases (103 citations) and Hematology (52 citations). Ling Sun has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lu‐Xi Zou, Philippe Sucosky, Qiyong Gong, Santanu Chandra, Kui Luo, Nalini M. Rajamannan, Min Wu, Hao Cai, Xiaojie Wang and Dayi Pan. Their work appears in journals such as PLoS ONE, Renal Failure, Magnetic Resonance in Medicine, Scientific Reports and International Journal of Infectious Diseases.
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.