Zhuqing Wang
- Cancer Research top 5%
- MicroRNA in disease regulation 10
- Molecular Biology top 10%
- CRISPR and Genetic Engineering 6
- RNA modifications and cancer 4
- Reproductive Medicine top 5%
- Genetics top 10%
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- Reproductive Biology and Fertility 5
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- Molecular Sensors and Ion Detection 4
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- Birth, Development, and Health 4
- Prenatal Screening and Diagnostics 4
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- Pregnancy and preeclampsia studies 3
- Journals
- Proceedings of the National Academy of Sciences (4 papers)SHILAP Revista de lepidopterología (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Zhuqing Wang
49 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Cancer Research 404
- Molecular Biology 935
- Reproductive Medicine 112
- Genetics 213
- Aging 12
Countries citing papers authored by Zhuqing Wang
This map shows the geographic impact of Zhuqing 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 Zhuqing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhuqing Wang more than expected).
Fields of papers citing papers by Zhuqing Wang
This network shows the impact of papers produced by Zhuqing 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 Zhuqing Wang. The network helps show where Zhuqing Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhuqing 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 20 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 65 | |
| 12 | Depression of Mitochondrial Function in the Rat Skeletal Muscle Model of Myofascial Pain Syndrome Is Through Down-Regulation of the AMPK-PGC-1α-SIRT3 Axis | 2020 | 1 |
| 13 | 2017 | 2 | |
| 14 | 2017 | 39 | |
| 15 | 2017 | 33 | |
| 16 | 2016 | 32 | |
| 17 | 2015 | 35 | |
| 18 | 2014 | 27 | |
| 19 | 2012 | 13 | |
| 20 | Cotton recognition based on randomized hough transform. | 2010 | 1 |
About Zhuqing Wang
Zhuqing Wang is a scholar working on Cancer Research, Aging and Business and International Management, having authored 56 papers that have together received 1.5k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), CRISPR and Genetic Engineering (6 papers), Reproductive Biology and Fertility (5 papers), Molecular Sensors and Ion Detection (4 papers), Birth, Development, and Health (4 papers), Prenatal Screening and Diagnostics (4 papers), RNA modifications and cancer (4 papers) and Pregnancy and preeclampsia studies (3 papers). The work is most often cited by research in Cancer Research (404 citations), Molecular Biology (935 citations) and Reproductive Medicine (112 citations). Zhuqing Wang has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Wei Yan, Huili Zheng, Hongying Peng, Chong Tang, Tian Yu, Rachel Klukovich, Ying Zhang, Arne Klungland, Jianhui Tian and Lei An. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Molecular and Cellular Biology.
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.