Ye Song
Impact in
- Nutrition and Dietetics top 5%
- Trace Elements in Health
- Rehabilitation top 5%
- Wound Healing and Treatments
Papers in
-
- Chronic Kidney Disease and Diabetes 4
-
- Trace Elements in Health 4
- Co-authors
- Lu Cai (8 shared papers)Guihua Zhou (3 shared papers)Yuehui Wang (2 shared papers)Xiaokun Li (2 shared papers)Yin Kang (2 shared papers)Jianxun Wang (3 shared papers)Teresa Hsiao-Tien Chen (1 shared paper)Paul N. Epstein (3 shared papers)
- Journals
- American Journal Of Pathology (2 papers)Journal of Colloid and Interface Science (1 paper)American Journal of Physiology-Renal Physiology (1 paper)Cell Death and Disease (1 paper)Ecological Indicators (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Ye Song
23 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 108
- Nutrition and Dietetics 282
- Rehabilitation 111
- Cardiology and Cardiovascular Medicine 299
- Clinical Biochemistry 91
- Molecular Medicine 53
Countries citing papers authored by Ye Song
This map shows the geographic impact of Ye Song'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 Ye Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Song more than expected).
Fields of papers citing papers by Ye Song
This network shows the impact of papers produced by Ye Song. 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 Ye Song. The network helps show where Ye Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye Song, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 329 | |
| 2 | 2006 | 202 | |
| 3 | 2019 | 143 | |
| 4 | 2006 | 124 | |
| 5 | 2009 | 114 | |
| 6 | 2020 | 92 | |
| 7 | 2020 | 84 | |
| 8 | 2005 | 82 | |
| 9 | 2005 | 73 | |
| 10 | 2003 | 46 | |
| 11 | 2021 | 40 | |
| 12 | 2022 | 35 | |
| 13 | 2015 | 31 | |
| 14 | 2022 | 31 | |
| 15 | 2007 | 30 | |
| 16 | 2009 | 19 | |
| 17 | 2003 | 15 | |
| 18 | 2020 | 15 | |
| 19 | 2004 | 12 | |
| 20 | 2021 | 12 |
About Ye Song
Ye Song is a scholar working on Nephrology, Nutrition and Dietetics, Cardiology and Cardiovascular Medicine, Neurology and Rehabilitation, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (4 papers), Chronic Kidney Disease and Diabetes (4 papers), Trace Elements in Health (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Coastal wetland ecosystem dynamics (3 papers), Nanoplatforms for cancer theranostics (3 papers), Advanced Nanomaterials in Catalysis (2 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Nutrition and Dietetics (282 citations), Rehabilitation (111 citations), Cardiology and Cardiovascular Medicine (299 citations), Clinical Biochemistry (91 citations) and Molecular Medicine (53 citations). Ye Song has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Lu Cai, Guihua Zhou, Yuehui Wang, Xiaokun Li, Yin Kang, Jianxun Wang, Teresa Hsiao-Tien Chen, Paul N. Epstein, Jack T. Saari and Sumanth D. Prabhu. Their work appears in journals such as American Journal Of Pathology, Journal of Colloid and Interface Science, American Journal of Physiology-Renal Physiology, Cell Death and Disease and Ecological Indicators.
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.