Yan Ling Yang
Impact in
- Periodontics top 5%
- Oral microbiology and periodontitis research
- Behavioral Neuroscience top 10%
Papers in
- Physiology 20
- Pain Mechanisms and Treatments 17
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- Additive Manufacturing Materials and Processes 5
- Microstructure and Mechanical Properties of Steels 5
- Aluminum Alloys Composites Properties 4
- High Temperature Alloys and Creep 4
- Co-authors
- Kun Yu (8 shared papers)Wei Sun (11 shared papers)Yilong Dai (4 shared papers)Jun Chen (8 shared papers)Fei Yang (6 shared papers)Hongjie Fang (3 shared papers)Tao Hu (5 shared papers)Lei Lei (5 shared papers)
- Journals
- Frontiers in Microbiology (2 papers)Neurochemical Research (2 papers)Journal of Materials Engineering and Performance (2 papers)Neuroscience (2 papers)Neuroscience Bulletin (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Yan Ling Yang
93 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 147
- Periodontics 91
- Behavioral Neuroscience 53
- Biomaterials 192
- Rehabilitation 86
- Physiology 291
Countries citing papers authored by Yan Ling Yang
This map shows the geographic impact of Yan Ling 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 Yan Ling Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Ling Yang more than expected).
Fields of papers citing papers by Yan Ling Yang
This network shows the impact of papers produced by Yan Ling 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 Yan Ling Yang. The network helps show where Yan Ling Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Ling 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 104 | |
| 2 | 2021 | 97 | |
| 3 | 2015 | 76 | |
| 4 | 2020 | 65 | |
| 5 | 2019 | 61 | |
| 6 | 2015 | 60 | |
| 7 | 2015 | 54 | |
| 8 | 2017 | 53 | |
| 9 | 2012 | 47 | |
| 10 | 2008 | 46 | |
| 11 | 2018 | 46 | |
| 12 | 2020 | 44 | |
| 13 | 2017 | 44 | |
| 14 | 2014 | 42 | |
| 15 | 2016 | 42 | |
| 16 | 2017 | 41 | |
| 17 | 2014 | 40 | |
| 18 | 2021 | 40 | |
| 19 | 2017 | 39 | |
| 20 | 2016 | 38 |
About Yan Ling Yang
Yan Ling Yang is a scholar working on Physiology, Mechanical Engineering, Periodontics, Pharmacology and Neurology, having authored 99 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (17 papers), Additive Manufacturing Materials and Processes (5 papers), Microstructure and Mechanical Properties of Steels (5 papers), Oral microbiology and periodontitis research (5 papers), Aluminum Alloys Composites Properties (4 papers), Bone Tissue Engineering Materials (4 papers), High Temperature Alloys and Creep (4 papers) and Corrosion Behavior and Inhibition (4 papers). The work is most often cited by research in Periodontics (91 citations), Behavioral Neuroscience (53 citations), Biomaterials (192 citations), Rehabilitation (86 citations) and Physiology (291 citations). Yan Ling Yang has collaborated with scholars based in China, United States and France. Frequent co-authors include Kun Yu, Wei Sun, Yilong Dai, Jun Chen, Fei Yang, Hongjie Fang, Tao Hu, Lei Lei, Xiao Xiao and Yu‐Qiu Zhang. Their work appears in journals such as Frontiers in Microbiology, Neurochemical Research, Journal of Materials Engineering and Performance, Neuroscience and Neuroscience Bulletin.
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.