Zhuqing Wang
- Molecular Biology top 10%
- Cancer Research top 5%
- Genetics top 10%
- Public Health, Environmental and Occupational Health top 10%
- Pediatrics, Perinatology and Child Health top 10%
- Topics
- MicroRNA in disease regulation (10 papers)CRISPR and Genetic Engineering (6 papers)Reproductive Biology and Fertility (5 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaMolecular and Cellular Biology
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Zhuqing Wang
49 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 935
- Cancer Research 404
- Genetics 213
- Public Health, Environmental and Occupational Health 167
- Pediatrics, Perinatology and Child Health 122
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 of co-authors of Zhuqing Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhuqing Wang. A scholar is included among the top collaborators of Zhuqing 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 Zhuqing Wang. Zhuqing 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 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 11 | |
| 9 | 20 | |
| 10 | 1 | |
| 11 | 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 | 1 |
| 13 | 2 | |
| 14 | 39 | |
| 15 | 33 | |
| 16 | 32 | |
| 17 | 35 | |
| 18 | 27 | |
| 19 | 13 | |
| 20 | Cotton recognition based on randomized hough transform. | 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) and Reproductive Biology and Fertility (5 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.