Zhaoting Wu
Impact in
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- Advanced Combustion Engine Technologies
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- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Renal and related cancers
- Epigenetics and DNA Methylation
- RNA Research and Splicing
Papers in
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- CRISPR and Genetic Engineering 4
- Pluripotent Stem Cells Research 4
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- Reproductive Biology and Fertility 5
- Co-authors
- George Q. Daley (3 shared papers)Lingyi Chen (2 shared papers)Dekun Wang (2 shared papers)Beibei Yan (5 shared papers)Liping Ma (1 shared paper)Shengquan Zhou (7 shared papers)Shannan J. Ho Sui (1 shared paper)Zachary D. Smith (1 shared paper)
- Journals
- Biomass and Bioenergy (2 papers)iScience (1 paper)Scientific Reports (1 paper)Cell Research (1 paper)Journal of the Energy Institute (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Zhaoting Wu
25 papers receiving 457 citations
Peers
Comparison fields: 5 of 89
- Fluid Flow and Transfer Processes 47
- Molecular Biology 308
- Cancer Research 45
- Computational Mechanics 39
- Aging 3
Countries citing papers authored by Zhaoting Wu
This map shows the geographic impact of Zhaoting Wu'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 Zhaoting Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaoting Wu more than expected).
Fields of papers citing papers by Zhaoting Wu
This network shows the impact of papers produced by Zhaoting Wu. 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 Zhaoting Wu. The network helps show where Zhaoting Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhaoting Wu, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 151 | |
| 2 | 2016 | 55 | |
| 3 | 2010 | 52 | |
| 4 | 2012 | 38 | |
| 5 | 2013 | 32 | |
| 6 | 2024 | 27 | |
| 7 | 2023 | 21 | |
| 8 | 2021 | 18 | |
| 9 | 2022 | 13 | |
| 10 | 2017 | 12 | |
| 11 | 2024 | 11 | |
| 12 | 2022 | 10 | |
| 13 | 2024 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2014 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Zhaoting Wu
Zhaoting Wu is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Fluid Flow and Transfer Processes, Reproductive Medicine and Pediatrics, Perinatology and Child Health, having authored 26 papers that have together received 463 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (5 papers), Reproductive Biology and Fertility (5 papers), CRISPR and Genetic Engineering (4 papers), Thermochemical Biomass Conversion Processes (4 papers), Pluripotent Stem Cells Research (4 papers), Cancer-related molecular mechanisms research (3 papers), Combustion and flame dynamics (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (47 citations), Molecular Biology (308 citations), Cancer Research (45 citations), Computational Mechanics (39 citations) and Aging (3 citations). Zhaoting Wu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include George Q. Daley, Lingyi Chen, Dekun Wang, Beibei Yan, Liping Ma, Shengquan Zhou, Shannan J. Ho Sui, Zachary D. Smith, Davide Cacchiarelli and John G. Doench. Their work appears in journals such as Biomass and Bioenergy, iScience, Scientific Reports, Cell Research and Journal of the Energy Institute.
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.