Sufang Yang
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Animal Genetics and Reproduction
- Molecular Biology top 10%
- Pluripotent Stem Cells Research
- Advanced biosensing and bioanalysis techniques
Papers in
-
- Circular RNAs in diseases 5
- Pluripotent Stem Cells Research 4
- Surgery 10
- Tissue Engineering and Regenerative Medicine 6
- Co-authors
- Guohua Liu (1 shared paper)Timothy R. Billiar (2 shared papers)Jianrong Li (2 shared papers)Young‐Myeong Kim (1 shared paper)Patricia D. Hurn (4 shared papers)Jeffrey R. Kirsch (3 shared papers)Deshun Shi (7 shared papers)Yingming Wei (7 shared papers)
- Journals
- Journal of NeuroVirology (3 papers)Theriogenology (2 papers)The Journal of Steroid Biochemistry and Molecular Biology (2 papers)PLoS ONE (2 papers)Talanta (2 papers)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Sufang Yang
58 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 108
- Genetics 165
- Molecular Biology 776
- Virology 41
- Electrochemistry 56
- Cancer Research 117
Countries citing papers authored by Sufang Yang
This map shows the geographic impact of Sufang Yang'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 Sufang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sufang Yang more than expected).
Fields of papers citing papers by Sufang Yang
This network shows the impact of papers produced by Sufang Yang. 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 Sufang Yang. The network helps show where Sufang Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sufang Yang, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 217 | |
| 2 | 2017 | 176 | |
| 3 | 2007 | 113 | |
| 4 | 2000 | 97 | |
| 5 | 2012 | 96 | |
| 6 | 2011 | 83 | |
| 7 | 2012 | 81 | |
| 8 | 2007 | 65 | |
| 9 | 2007 | 56 | |
| 10 | 2005 | 47 | |
| 11 | 2013 | 45 | |
| 12 | 2014 | 38 | |
| 13 | 2012 | 35 | |
| 14 | 2019 | 35 | |
| 15 | 2012 | 33 | |
| 16 | 2011 | 32 | |
| 17 | 2007 | 30 | |
| 18 | 2002 | 28 | |
| 19 | 2019 | 23 | |
| 20 | 2020 | 21 |
About Sufang Yang
Sufang Yang is a scholar working on Molecular Biology, Surgery, Neurology, Public Health, Environmental and Occupational Health and Electrical and Electronic Engineering, having authored 61 papers that have together received 1.6k indexed citations. Recurring topics across this work include Autoimmune Neurological Disorders and Treatments (6 papers), Tissue Engineering and Regenerative Medicine (6 papers), Circular RNAs in diseases (5 papers), Reproductive Biology and Fertility (5 papers), Mesenchymal stem cell research (4 papers), Pluripotent Stem Cells Research (4 papers), HIV Research and Treatment (4 papers) and Drug-Induced Ocular Toxicity (3 papers). The work is most often cited by research in Genetics (165 citations), Molecular Biology (776 citations), Virology (41 citations), Electrochemistry (56 citations) and Cancer Research (117 citations). Sufang Yang has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Guohua Liu, Timothy R. Billiar, Jianrong Li, Young‐Myeong Kim, Patricia D. Hurn, Jeffrey R. Kirsch, Deshun Shi, Yingming Wei, Vladimir Zachar and Fenghua Lu. Their work appears in journals such as Journal of NeuroVirology, Theriogenology, The Journal of Steroid Biochemistry and Molecular Biology, PLoS ONE and Talanta.
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.