Jiu Deng
Impact in
- Hepatology top 10%
- Liver physiology and pathology
- Biomedical Engineering top 10%
- 3D Printing in Biomedical Research
- Innovative Microfluidic and Catalytic Techniques Innovation
- Microfluidic and Capillary Electrophoresis Applications
- Microfluidic and Bio-sensing Technologies
Papers in
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- 3D Printing in Biomedical Research 11
- Microfluidic and Capillary Electrophoresis Applications 5
- Microfluidic and Bio-sensing Technologies 4
- Innovative Microfluidic and Catalytic Techniques Innovation 4
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- Extracellular vesicles in disease 4
- Single-cell and spatial transcriptomics 3
- Co-authors
- Bingcheng Lin (12 shared papers)Yong Luo (14 shared papers)Xiuli Zhang (5 shared papers)Zongzheng Chen (6 shared papers)Weijie Zhao (3 shared papers)Yao Lu (11 shared papers)Wenbo Wei (2 shared papers)Tingjiao Liu (5 shared papers)
In The Last Decade
Jiu Deng
22 papers receiving 514 citations
Peers
Comparison fields: 5 of 77
- Hepatology 91
- Biomedical Engineering 369
- Cellular and Molecular Neuroscience 57
- Aging 5
- Surgery 78
Countries citing papers authored by Jiu Deng
This map shows the geographic impact of Jiu 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 Jiu Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiu Deng more than expected).
Fields of papers citing papers by Jiu Deng
This network shows the impact of papers produced by Jiu 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 Jiu Deng. The network helps show where Jiu Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiu 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 172 | |
| 2 | 2019 | 56 | |
| 3 | 2019 | 49 | |
| 4 | 2017 | 37 | |
| 5 | 2020 | 28 | |
| 6 | 2021 | 28 | |
| 7 | 2022 | 22 | |
| 8 | 2022 | 20 | |
| 9 | 2023 | 17 | |
| 10 | 2018 | 16 | |
| 11 | 2018 | 14 | |
| 12 | 2022 | 14 | |
| 13 | 2024 | 10 | |
| 14 | 2018 | 10 | |
| 15 | 2020 | 8 | |
| 16 | 2024 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2017 | 5 | |
| 20 | 2025 | 4 |
About Jiu Deng
Jiu Deng is a scholar working on Biomedical Engineering, Molecular Biology, Cellular and Molecular Neuroscience, Computational Mechanics and Pharmacology, having authored 24 papers that have together received 530 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (11 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers), Microfluidic and Bio-sensing Technologies (4 papers), Extracellular vesicles in disease (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers), Single-cell and spatial transcriptomics (3 papers), Liver physiology and pathology (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Hepatology (91 citations), Biomedical Engineering (369 citations), Cellular and Molecular Neuroscience (57 citations), Aging (5 citations) and Surgery (78 citations). Jiu Deng has collaborated with scholars based in China, Taiwan and Italy. Frequent co-authors include Bingcheng Lin, Yong Luo, Xiuli Zhang, Zongzheng Chen, Weijie Zhao, Yao Lu, Wenbo Wei, Tingjiao Liu, Zhengzhi Wu and Xue Bai. Their work appears in journals such as Biomicrofluidics, Advanced Science, iScience, ACS Sensors and Physics of Fluids.
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.