Yao‐Hua Song
- Genetics top 0.5%
- Mesenchymal stem cell research 23
- Biomaterials top 2%
- Electrospun Nanofibers in Biomedical Applications 7
- Rehabilitation top 1%
- Wound Healing and Treatments 4
- Cancer Research top 5%
- Surgery top 2%
- Tissue Engineering and Regenerative Medicine 16
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- Cancer Cells and Metastasis 14
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- Muscle Physiology and Disorders 12
- Congenital heart defects research 5
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- Cardiac Ischemia and Reperfusion 6
- Co-authors
- Yangxin LiPatrice DelafontaineEckhard AltXiaowen BaiSebastian GehmertKai PinkernellYasheng YanNadia Rosenthal
- Cited by
- GeneticsBiomaterialsRehabilitation
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The Lancet (1 paper)Circulation (1 paper)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Yao‐Hua Song
74 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Genetics 1.6k
- Biomaterials 616
- Rehabilitation 294
- Cancer Research 588
- Surgery 1.5k
Countries citing papers authored by Yao‐Hua Song
This map shows the geographic impact of Yao‐Hua 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 Yao‐Hua Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao‐Hua Song more than expected).
Fields of papers citing papers by Yao‐Hua Song
This network shows the impact of papers produced by Yao‐Hua 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 Yao‐Hua Song. The network helps show where Yao‐Hua Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yao‐Hua 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 8 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 10 | |
| 4 | Ribosome biogenesis in disease: new players and therapeutic targetsbreakdown → | 2023 | 146 |
| 5 | 2022 | 14 | |
| 6 | Inflammasomes as therapeutic targets in human diseasesbreakdown → | 2021 | 175 |
| 7 | 2017 | 10 | |
| 8 | 2016 | 144 | |
| 9 | 2016 | 10 | |
| 10 | 2011 | 162 | |
| 11 | 2011 | 14 | |
| 12 | 2011 | 36 | |
| 13 | 2010 | 22 | |
| 14 | 2009 | 60 | |
| 15 | 2009 | 36 | |
| 16 | 2009 | 30 | |
| 17 | 2007 | 308 | |
| 18 | 2006 | 1 | |
| 19 | 1995 | 183 | |
| 20 | 1988 | 14 |
About Yao‐Hua Song
Yao‐Hua Song is a scholar working on Genetics, Aging and Rehabilitation, having authored 75 papers that have together received 5.1k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (23 papers), Tissue Engineering and Regenerative Medicine (16 papers), Cancer Cells and Metastasis (14 papers), Muscle Physiology and Disorders (12 papers), Electrospun Nanofibers in Biomedical Applications (7 papers), Cardiac Ischemia and Reperfusion (6 papers), Congenital heart defects research (5 papers) and Wound Healing and Treatments (4 papers). The work is most often cited by research in Genetics (1.6k citations), Biomaterials (616 citations) and Rehabilitation (294 citations). Yao‐Hua Song has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Yangxin Li, Patrice Delafontaine, Eckhard Alt, Xiaowen Bai, Sebastian Gehmert, Kai Pinkernell, Yasheng Yan, Nadia Rosenthal, Eswaran Devarajan and Fabian Muehlberg. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Circulation.
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.