Yunliang Wang
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 10
- Developmental Neuroscience top 5%
- Genetics top 5%
- Lepidoptera: Biology and Taxonomy 12
- Mesenchymal stem cell research 8
- Molecular Biology top 10%
- RNA modifications and cancer 8
- Genomics and Phylogenetic Studies 7
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- Nuclear Receptors and Signaling 7
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- Parkinson's Disease Mechanisms and Treatments 7
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- Plant and animal studies 7
- Journals
- SHILAP Revista de lepidopterología (5 papers)PLoS ONE (5 papers)Analytical Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yunliang Wang
102 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 132
- Cancer Research 448
- Developmental Neuroscience 117
- Genetics 255
- Molecular Biology 1.0k
- Cellular and Molecular Neuroscience 190
Countries citing papers authored by Yunliang Wang
This map shows the geographic impact of Yunliang 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 Yunliang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunliang Wang more than expected).
Fields of papers citing papers by Yunliang Wang
This network shows the impact of papers produced by Yunliang 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 Yunliang Wang. The network helps show where Yunliang Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yunliang Wang, 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 | 2024 | 3 | |
| 2 | 2023 | 12 | |
| 3 | 2022 | 9 | |
| 4 | 2020 | 2 | |
| 5 | Genetic differentiation and phylogeography of the alpine butterfly Parnassius glacialis (Papilionidae: Parnassinae) in China: evidence from mitogenomic AT-rich region. | 2019 | 0 |
| 6 | 2019 | 1 | |
| 7 | 2018 | 10 | |
| 8 | 2016 | 18 | |
| 9 | 2016 | 16 | |
| 10 | 2015 | 215 | |
| 11 | 2015 | 50 | |
| 12 | 2015 | 32 | |
| 13 | 2014 | 1 | |
| 14 | 2014 | 44 | |
| 15 | 2014 | 30 | |
| 16 | 2014 | 18 | |
| 17 | 2013 | 7 | |
| 18 | 2013 | 20 | |
| 19 | 2013 | 0 | |
| 20 | 2011 | 6 |
About Yunliang Wang
Yunliang Wang is a scholar working on Developmental Neuroscience, Cancer Research and Molecular Biology, having authored 104 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lepidoptera: Biology and Taxonomy (12 papers), Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (8 papers), Mesenchymal stem cell research (8 papers), Nuclear Receptors and Signaling (7 papers), Parkinson's Disease Mechanisms and Treatments (7 papers), Genomics and Phylogenetic Studies (7 papers) and Plant and animal studies (7 papers). The work is most often cited by research in Cancer Research (448 citations), Developmental Neuroscience (117 citations) and Genetics (255 citations). Yunliang Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Honglei Yin, Yuzhen Zhang, Bing Han, Jinfeng Li, Jinfeng Li, Tongchao Geng, Shiwei Duan, Jinfeng Li, Jiasheng Hao and Tangyou Mao. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.
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.