Xiaoyu Da
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Rehabilitation top 10%
Papers in
-
- Muscle Physiology and Disorders 6
- Surgery 6
- Co-authors
- Wafa Tawackoli (12 shared papers)Dmitriy Sheyn (12 shared papers)Dan Gazit (12 shared papers)Zulma Gazit (11 shared papers)James G. Hudson (1 shared paper)Mario Fournier (8 shared papers)Michael I. Lewis (8 shared papers)Gadi Pelled (11 shared papers)
- Journals
- Journal of Applied Physiology (4 papers)Molecular Pharmaceutics (2 papers)Journal of Visualized Experiments (2 papers)Molecular Therapy (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesIsraelMexico
In The Last Decade
Xiaoyu Da
22 papers receiving 803 citations
Peers
Comparison fields: 5 of 90
- Genetics 191
- Rehabilitation 53
- Orthopedics and Sports Medicine 63
- Urology 45
- Biomedical Engineering 247
Countries citing papers authored by Xiaoyu Da
This map shows the geographic impact of Xiaoyu Da'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 Xiaoyu Da with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyu Da more than expected).
Fields of papers citing papers by Xiaoyu Da
This network shows the impact of papers produced by Xiaoyu Da. 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 Xiaoyu Da. The network helps show where Xiaoyu Da may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoyu Da, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 116 | |
| 2 | 2016 | 114 | |
| 3 | 2012 | 82 | |
| 4 | 2011 | 78 | |
| 5 | 1996 | 73 | |
| 6 | 2007 | 63 | |
| 7 | 2015 | 44 | |
| 8 | 2009 | 41 | |
| 9 | 2003 | 39 | |
| 10 | 2015 | 32 | |
| 11 | 2013 | 27 | |
| 12 | 2011 | 19 | |
| 13 | 2017 | 17 | |
| 14 | 2006 | 16 | |
| 15 | 2022 | 16 | |
| 16 | 2004 | 11 | |
| 17 | 2019 | 10 | |
| 18 | 2022 | 7 | |
| 19 | 2015 | 7 | |
| 20 | 2011 | 4 |
About Xiaoyu Da
Xiaoyu Da is a scholar working on Molecular Biology, Surgery, Genetics, Biomedical Engineering and Rehabilitation, having authored 22 papers that have together received 819 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), Mesenchymal stem cell research (5 papers), Bone Tissue Engineering Materials (4 papers), Exercise and Physiological Responses (4 papers), Muscle metabolism and nutrition (3 papers), Bone fractures and treatments (3 papers), Periodontal Regeneration and Treatments (3 papers) and Spine and Intervertebral Disc Pathology (2 papers). The work is most often cited by research in Genetics (191 citations), Rehabilitation (53 citations), Orthopedics and Sports Medicine (63 citations), Urology (45 citations) and Biomedical Engineering (247 citations). Xiaoyu Da has collaborated with scholars based in United States, Israel and Mexico. Frequent co-authors include Wafa Tawackoli, Dmitriy Sheyn, Dan Gazit, Zulma Gazit, James G. Hudson, Mario Fournier, Michael I. Lewis, Gadi Pelled, Ilan Kallai and Maxim Bez. Their work appears in journals such as Journal of Applied Physiology, Molecular Pharmaceutics, Journal of Visualized Experiments, Molecular Therapy 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.