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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- Pluripotent Stem Cells Research 4
- CRISPR and Genetic Engineering 4
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- Advanced Combustion Engine Technologies 5
- Co-authors
- George Q. Daley (3 shared papers)Lingyi Chen (2 shared papers)Dekun Wang (2 shared papers)Beibei Yan (5 shared papers)Shengquan Zhou (7 shared papers)Liping Ma (1 shared paper)Wenzhu Wu (4 shared papers)Xiaoyun Liu (2 shared papers)
- Journals
- Biomass and Bioenergy (2 papers)iScience (1 paper)Medicine (1 paper)Cell Research (1 paper)The FASEB Journal (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Zhaoting Wu
26 papers receiving 483 citations
Peers
Comparison fields: 5 of 82
- Fluid Flow and Transfer Processes 50
- Molecular Biology 299
- Cancer Research 38
- Aging 4
- Computational Mechanics 43
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 151 | |
| 2 | 2016 | 56 | |
| 3 | 2010 | 54 | |
| 4 | 2012 | 38 | |
| 5 | 2024 | 32 | |
| 6 | 2013 | 32 | |
| 7 | 2023 | 24 | |
| 8 | 2021 | 18 | |
| 9 | 2022 | 14 | |
| 10 | 2024 | 13 | |
| 11 | 2017 | 12 | |
| 12 | 2022 | 10 | |
| 13 | 2025 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2025 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2014 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2024 | 2 |
About Zhaoting Wu
Zhaoting Wu is a scholar working on Molecular Biology, Fluid Flow and Transfer Processes, Biomedical Engineering, Pediatrics, Perinatology and Child Health and Computational Mechanics, having authored 27 papers that have together received 489 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (5 papers), Pluripotent Stem Cells Research (4 papers), Thermochemical Biomass Conversion Processes (4 papers), CRISPR and Genetic Engineering (4 papers), Combustion and flame dynamics (3 papers), Reproductive Biology and Fertility (3 papers), Cancer-related molecular mechanisms research (3 papers) and Ovarian cancer diagnosis and treatment (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (50 citations), Molecular Biology (299 citations), Cancer Research (38 citations), Aging (4 citations) and Computational Mechanics (43 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, Shengquan Zhou, Liping Ma, Wenzhu Wu, Xiaoyun Liu, Rahul Karnik and Tarjei S. Mikkelsen. Their work appears in journals such as Biomass and Bioenergy, iScience, Medicine, Cell Research and The FASEB Journal.
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.