Yaqi Deng
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Aluminum Alloys Composites Properties 12
-
- Aluminum Alloy Microstructure Properties 9
- Advanced SAR Imaging Techniques 7
- Radar Systems and Signal Processing 6
- Co-authors
- Chuntao Zhao (8 shared papers)Q. Richard Lu (7 shared papers)Wenhao Zhou (5 shared papers)Xianfeng Li (13 shared papers)Haowei Wang (13 shared papers)Mei Xin (5 shared papers)Lingli Xu (5 shared papers)Xuelian He (4 shared papers)
- Journals
- Materials Letters (3 papers)Materials Characterization (3 papers)IEEE Access (3 papers)Organic Chemistry Frontiers (3 papers)Oncogenesis (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yaqi Deng
66 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 121
- Developmental Neuroscience 269
- Cancer Research 267
- Neurology 82
- Molecular Biology 578
- Cellular and Molecular Neuroscience 147
Countries citing papers authored by Yaqi Deng
This map shows the geographic impact of Yaqi Deng'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 Yaqi Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaqi Deng more than expected).
Fields of papers citing papers by Yaqi Deng
This network shows the impact of papers produced by Yaqi Deng. 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 Yaqi Deng. The network helps show where Yaqi Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaqi Deng, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 142 | |
| 2 | 2017 | 139 | |
| 3 | 2016 | 115 | |
| 4 | 2018 | 108 | |
| 5 | 2016 | 104 | |
| 6 | 2018 | 89 | |
| 7 | 2019 | 74 | |
| 8 | 2017 | 73 | |
| 9 | 2016 | 72 | |
| 10 | 2012 | 58 | |
| 11 | 2010 | 46 | |
| 12 | 2021 | 32 | |
| 13 | 2017 | 31 | |
| 14 | 2014 | 28 | |
| 15 | 2007 | 25 | |
| 16 | 2023 | 20 | |
| 17 | 2021 | 19 | |
| 18 | 2024 | 18 | |
| 19 | 2015 | 18 | |
| 20 | 2012 | 16 |
About Yaqi Deng
Yaqi Deng is a scholar working on Mechanical Engineering, Aerospace Engineering, Molecular Biology, Organic Chemistry and Materials Chemistry, having authored 71 papers that have together received 1.5k indexed citations. Recurring topics across this work include Aluminum Alloys Composites Properties (12 papers), Microstructure and mechanical properties (11 papers), Aluminum Alloy Microstructure Properties (9 papers), Advanced SAR Imaging Techniques (7 papers), Catalytic C–H Functionalization Methods (7 papers), Sulfur-Based Synthesis Techniques (6 papers), Radar Systems and Signal Processing (6 papers) and Cyclopropane Reaction Mechanisms (5 papers). The work is most often cited by research in Developmental Neuroscience (269 citations), Cancer Research (267 citations), Neurology (82 citations), Molecular Biology (578 citations) and Cellular and Molecular Neuroscience (147 citations). Yaqi Deng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chuntao Zhao, Q. Richard Lu, Wenhao Zhou, Xianfeng Li, Haowei Wang, Mei Xin, Lingli Xu, Xuelian He, Cunjuan Xia and Danyang He. Their work appears in journals such as Materials Letters, Materials Characterization, IEEE Access, Organic Chemistry Frontiers and Oncogenesis.
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.