Mengling Yan
Impact in
- Automotive Engineering top 2%
- Additive Manufacturing and 3D Printing Technologies
- Biomedical Engineering top 5%
- 3D Printing in Biomedical Research
- Bone Tissue Engineering Materials
- Innovative Microfluidic and Catalytic Techniques Innovation
Papers in
-
- Selenium in Biological Systems 3
- Co-authors
- Jun Yin (2 shared papers)Jianzhong Fu (2 shared papers)Yancheng Wang (1 shared paper)Hongli Suo (1 shared paper)Jingyi Liu (1 shared paper)Liang Li (1 shared paper)Hairui Suo (1 shared paper)Xiuli Chang (7 shared papers)
- Journals
- Oxidative Medicine and Cellular Longevity (2 papers)Food and Chemical Toxicology (1 paper)International Journal of Molecular Sciences (1 paper)Toxicology in Vitro (1 paper)ACS Applied Materials & Interfaces (1 paper)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Mengling Yan
9 papers receiving 787 citations
Mengling Yan's Hit Papers
Peers
Comparison fields: 5 of 78
- Automotive Engineering 322
- Biomedical Engineering 600
- Biomaterials 123
- Molecular Medicine 40
- Biophysics 28
Countries citing papers authored by Mengling Yan
This map shows the geographic impact of Mengling Yan'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 Mengling Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengling Yan more than expected).
Fields of papers citing papers by Mengling Yan
This network shows the impact of papers produced by Mengling Yan. 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 Mengling Yan. The network helps show where Mengling Yan may publish in the future.
Co-authors
The 15 scholars most cited alongside Mengling Yan, 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 | 3D Bioprinting of Low-Concentration Cell-Laden Gelatin Methacrylate (GelMA) Bioinks with a Two-Step Cross-linking Strategy Hit paper breakdown → | 2018 | 502 |
| 2 | 2019 | 156 | |
| 3 | 2015 | 52 | |
| 4 | 2016 | 23 | |
| 5 | 2016 | 20 | |
| 6 | 2019 | 17 | |
| 7 | 2018 | 15 | |
| 8 | 2017 | 9 | |
| 9 | [The effect of Wnt signaling pathway on paraquat induced PC12 cells damage]. | 2015 | 5 |
About Mengling Yan
Mengling Yan is a scholar working on Molecular Biology, Nutrition and Dietetics, Developmental Neuroscience, Surgery and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 799 indexed citations. Recurring topics across this work include Selenium in Biological Systems (3 papers), Mercury impact and mitigation studies (2 papers), 3D Printing in Biomedical Research (2 papers), Paraquat toxicity studies and treatments (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Autophagy in Disease and Therapy (1 paper), Heavy Metal Exposure and Toxicity (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Automotive Engineering (322 citations), Biomedical Engineering (600 citations), Biomaterials (123 citations), Molecular Medicine (40 citations) and Biophysics (28 citations). Mengling Yan has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Jun Yin, Jianzhong Fu, Yancheng Wang, Hongli Suo, Jingyi Liu, Liang Li, Hairui Suo, Xiuli Chang, Lina Zhao and Zhijun Zhou. Their work appears in journals such as Oxidative Medicine and Cellular Longevity, Food and Chemical Toxicology, International Journal of Molecular Sciences, Toxicology in Vitro and ACS Applied Materials & Interfaces.
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.