Sufang Yang
- Genetics top 5%
- Mesenchymal stem cell research 6
- Molecular Biology top 10%
- Circular RNAs in diseases 6
- Muscle Physiology and Disorders 4
- Pluripotent Stem Cells Research 4
- Electrochemistry top 10%
- Virology top 10%
- HIV Research and Treatment 4
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- Tissue Engineering and Regenerative Medicine 8
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- Autoimmune Neurological Disorders and Treatments 5
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- Reproductive Biology and Fertility 4
Sufang Yang
58 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 111
- Genetics 194
- Molecular Biology 844
- Cancer Research 140
- Electrochemistry 56
- Virology 42
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 6 | |
| 5 | 2022 | 12 | |
| 6 | 2022 | 13 | |
| 7 | 2021 | 2 | |
| 8 | 2021 | 13 | |
| 9 | 2020 | 5 | |
| 10 | Autoimmune retinopathy in two patients with stiff-person syndrome with anti-GAD65 autoantibodies | 2019 | 1 |
| 11 | 2018 | 16 | |
| 12 | Relationships between tumor microenvironment and clinicopathological parameters in meningioma. | 2014 | 16 |
| 13 | 2013 | 18 | |
| 14 | 2012 | 34 | |
| 15 | 2012 | 33 | |
| 16 | Effect of Allicin on Apoptosis and MAPK of Heart Cell in Diabetic Rats | 2011 | 2 |
| 17 | Effect of Garlic Oil on Morphology of Heart Tissue and Apoptosis of Heart Cell in Diabetic Rats | 2010 | 1 |
| 18 | 2007 | 56 | |
| 19 | 2005 | 47 | |
| 20 | 2000 | 98 |
About Sufang Yang
Sufang Yang is a scholar working on Microbiology, Virology, Geriatrics and Gerontology, Genetics and Ophthalmology, having authored 61 papers that have together received 1.6k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (8 papers), Mesenchymal stem cell research (6 papers), Circular RNAs in diseases (6 papers), Autoimmune Neurological Disorders and Treatments (5 papers), Reproductive Biology and Fertility (4 papers), Muscle Physiology and Disorders (4 papers), HIV Research and Treatment (4 papers) and Pluripotent Stem Cells Research (4 papers). The work is most often cited by research in Genetics (194 citations), Molecular Biology (844 citations), Cancer Research (140 citations), Electrochemistry (56 citations) and Virology (42 citations). Sufang Yang has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Guohua Liu, Jianrong Li, Timothy R. Billiar, Young‐Myeong Kim, Patricia D. Hurn, Deshun Shi, Jeffrey R. Kirsch, Yingming Wei, Vladimir Zachar and Fenghua Lu. Their work appears in journals such as Journal of NeuroVirology, Theriogenology, Journal of Biological Chemistry, The Journal of Steroid Biochemistry and Molecular Biology and Sensors and Actuators B Chemical.
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.