Yunling Wang
- Molecular Biology top 10%
- Cell Biology top 5%
- Oncology top 10%
- Cancer Research top 10%
- Immunology and Allergy top 2%
- Co-authors
- Hongquan ZhangPernilla LångStaffan StrömbladZhilun LiJun ZhanWeigang FangDavid MorseJonathan S. Berg
- Topics
- Radiomics and Machine Learning in Medical Imaging (7 papers)Cell Adhesion Molecules Research (6 papers)Microbial Community Ecology and Physiology (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
In The Last Decade
Yunling Wang
105 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 153
- Molecular Biology 1.2k
- Cell Biology 429
- Oncology 400
- Cancer Research 303
- Immunology and Allergy 265
Countries citing papers authored by Yunling Wang
This map shows the geographic impact of Yunling Wang'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 Yunling Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunling Wang more than expected).
Fields of papers citing papers by Yunling Wang
This network shows the impact of papers produced by Yunling Wang. 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 Yunling Wang. The network helps show where Yunling Wang may publish in the future.
Co-authorship network of co-authors of Yunling Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yunling Wang. A scholar is included among the top collaborators of Yunling Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yunling Wang. Yunling Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 14 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 3 | |
| 15 | 44 | |
| 16 | 13 | |
| 17 | 1 | |
| 18 | 65 | |
| 19 | Application of series-parallel energy storage system with super-capacitor in wind power generation | 6 |
| 20 | Improvement of Power Quality and Stability of Wind Farms Connected to Power Grid by Battery Energy Storage System | 30 |
About Yunling Wang
Yunling Wang is a scholar working on Energy Engineering and Power Technology, Immunology and Allergy and Soil Science, having authored 111 papers that have together received 2.3k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Cell Adhesion Molecules Research (6 papers) and Microbial Community Ecology and Physiology (5 papers). The work is most often cited by research in Immunology and Allergy (265 citations), Cell Biology (429 citations) and Cancer Research (303 citations). Yunling Wang has collaborated with scholars based in China, Canada and Sweden. Frequent co-authors include Hongquan Zhang, Pernilla Lång, Staffan Strömblad, Zhilun Li, Jun Zhan, Weigang Fang, David Morse, Jonathan S. Berg, Richard E. Cheney and Aurea D. Sousa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.