Yaqing Wang
Impact in
- Biomedical Engineering top 1%
- 3D Printing in Biomedical Research
- Innovative Microfluidic and Catalytic Techniques Innovation
- Microfluidic and Bio-sensing Technologies
- Developmental Neuroscience top 2%
Papers in
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- Pluripotent Stem Cells Research 11
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- 3D Printing in Biomedical Research 30
- Innovative Microfluidic and Catalytic Techniques Innovation 7
- Co-authors
- Jianhua Qin (34 shared papers)Yaqiong Guo (15 shared papers)Yujuan Zhu (10 shared papers)Li Wang (5 shared papers)Tingting Tao (11 shared papers)Pengwei Deng (7 shared papers)Hui Wang (7 shared papers)Kangli Cui (7 shared papers)
- Journals
- Nature Communications (5 papers)Lab on a Chip (5 papers)Advanced Science (5 papers)ACS Biomaterials Science & Engineering (3 papers)Advanced Materials (3 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Yaqing Wang
136 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 164
- Biomedical Engineering 2.1k
- Developmental Neuroscience 168
- Reproductive Medicine 251
- Hepatology 182
- Cellular and Molecular Neuroscience 456
Countries citing papers authored by Yaqing Wang
This map shows the geographic impact of Yaqing 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 Yaqing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaqing Wang more than expected).
Fields of papers citing papers by Yaqing Wang
This network shows the impact of papers produced by Yaqing 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 Yaqing Wang. The network helps show where Yaqing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaqing 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
Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 294 | |
| 2 | 2018 | 258 | |
| 3 | 2014 | 212 | |
| 4 | 2018 | 183 | |
| 5 | 2020 | 173 | |
| 6 | 2019 | 169 | |
| 7 | 2017 | 159 | |
| 8 | 2020 | 156 | |
| 9 | 2018 | 151 | |
| 10 | 2021 | 136 | |
| 11 | 2020 | 131 | |
| 12 | 2017 | 117 | |
| 13 | 2010 | 114 | |
| 14 | 2020 | 110 | |
| 15 | 2022 | 106 | |
| 16 | 2016 | 102 | |
| 17 | 2021 | 99 | |
| 18 | 2016 | 96 | |
| 19 | 2020 | 88 | |
| 20 | 2012 | 87 |
About Yaqing Wang
Yaqing Wang is a scholar working on Molecular Biology, Biomedical Engineering, Surgery, Pulmonary and Respiratory Medicine and Genetics, having authored 141 papers that have together received 5.3k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (30 papers), Pluripotent Stem Cells Research (11 papers), Pancreatic function and diabetes (9 papers), Sperm and Testicular Function (9 papers), Neuroscience and Neural Engineering (7 papers), Innovative Microfluidic and Catalytic Techniques Innovation (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Advancements in Battery Materials (6 papers). The work is most often cited by research in Biomedical Engineering (2.1k citations), Developmental Neuroscience (168 citations), Reproductive Medicine (251 citations), Hepatology (182 citations) and Cellular and Molecular Neuroscience (456 citations). Yaqing Wang has collaborated with scholars based in China, United States and India. Frequent co-authors include Jianhua Qin, Yaqiong Guo, Yujuan Zhu, Li Wang, Tingting Tao, Pengwei Deng, Hui Wang, Kangli Cui, Haitao Liu and Jianhua Qin. Their work appears in journals such as Nature Communications, Lab on a Chip, Advanced Science, ACS Biomaterials Science & Engineering and Advanced Materials.
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.