Ying Cao
- Genetics top 1%
- Mesenchymal stem cell research 10
- Virus-based gene therapy research 3
- Aging top 5%
- Physiology top 2%
- Telomeres, Telomerase, and Senescence 9
- Cancer Research top 10%
- Biomaterials top 5%
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- Angiogenesis and VEGF in Cancer 4
- Pluripotent Stem Cells Research 3
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- Hematopoietic Stem Cell Transplantation 4
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- Tissue Engineering and Regenerative Medicine 3
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- Berberine and alkaloids research 3
- Co-authors
- Robert Chunhua ZhaoLianming LiaoZhao SunQin HanRoger R. ReddelYan MengJunping LiuAndy Chang
- Cited by
- GeneticsAgingPhysiology
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ying Cao
39 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Genetics 835
- Aging 73
- Physiology 791
- Cancer Research 279
- Biomaterials 238
Countries citing papers authored by Ying Cao
This map shows the geographic impact of Ying Cao'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 Ying Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Cao more than expected).
Fields of papers citing papers by Ying Cao
This network shows the impact of papers produced by Ying Cao. 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 Ying Cao. The network helps show where Ying Cao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ying Cao, 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 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2023 | 10 | |
| 4 | 2021 | 15 | |
| 5 | 2011 | 25 | |
| 6 | Increased vascular endothelial growth factor (VEGF) expression in rats with spinal cord injury by transplantation of bone marrow stromal cells | 2011 | 1 |
| 7 | 2010 | 7 | |
| 8 | 2009 | 359 | |
| 9 | 2008 | 17 | |
| 10 | 2008 | 61 | |
| 11 | 2008 | 27 | |
| 12 | 2008 | 10 | |
| 13 | 2008 | 136 | |
| 14 | 2007 | 32 | |
| 15 | 2006 | 47 | |
| 16 | 2006 | 163 | |
| 17 | 2005 | 27 | |
| 18 | Human adipose tissue-derived stem cells differentiate into endothelial cells in vitro and improve postnatal neovascularization in vivobreakdown → | 2005 | 584 |
| 19 | 2005 | 35 | |
| 20 | 1999 | 74 |
About Ying Cao
Ying Cao is a scholar working on Genetics, Hematology, Physiology, Obstetrics and Gynecology and Biotechnology, having authored 43 papers that have together received 2.4k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (10 papers), Telomeres, Telomerase, and Senescence (9 papers), Angiogenesis and VEGF in Cancer (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Virus-based gene therapy research (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Berberine and alkaloids research (3 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Genetics (835 citations), Aging (73 citations), Physiology (791 citations), Cancer Research (279 citations) and Biomaterials (238 citations). Ying Cao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Robert Chunhua Zhao, Lianming Liao, Zhao Sun, Qin Han, Roger R. Reddel, Yan Meng, Junping Liu, Andy Chang, Lily I. Huschtscha and Hilda A. Pickett. Their work appears in journals such as Blood, Nephrology, Oncogene, Biochemical and Biophysical Research Communications and Cancer.
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.