Dan Zhu
- Biophysics top 0.05%
- Advanced Fluorescence Microscopy Techniques 46
- Cell Image Analysis Techniques 24
- Biomedical Engineering top 0.5%
- Optical Coherence Tomography Applications 55
- Photoacoustic and Ultrasonic Imaging 37
-
- Optical Imaging and Spectroscopy Techniques 46
- Acoustics and Ultrasonics top 5%
- Cell Biology top 2%
- Cellular transport and secretion 18
-
- Thermoregulation and physiological responses 21
-
- Pancreatic function and diabetes 17
Dan Zhu
233 papers receiving 5.7k citations
Peers
Comparison fields: 5 of 159
- Biophysics 1.5k
- Biomedical Engineering 2.6k
- Radiology, Nuclear Medicine and Imaging 1.1k
- Acoustics and Ultrasonics 36
- Cell Biology 508
Countries citing papers authored by Dan Zhu
This map shows the geographic impact of Dan Zhu'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 Dan Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Zhu more than expected).
Fields of papers citing papers by Dan Zhu
This network shows the impact of papers produced by Dan Zhu. 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 Dan Zhu. The network helps show where Dan Zhu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dan Zhu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 11 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 12 | |
| 7 | 2023 | 34 | |
| 8 | 2023 | 2 | |
| 9 | 2021 | 10 | |
| 10 | 2020 | 24 | |
| 11 | 2020 | 20 | |
| 12 | 2019 | 22 | |
| 13 | 2018 | 15 | |
| 14 | Analysis of Mechanism of Non-Enzymatic Browning of Physalis pubescens L. during Fermentation | 2016 | 3 |
| 15 | 2015 | 34 | |
| 16 | 2015 | 2 | |
| 17 | Anti-Diabetic Activities of Aqueous Extract from Actinidia kolomikta Root Against α-glucosidase | 2013 | 3 |
| 18 | Inhibition of emodin on xenografted human K562 cells in nude mice and regulation on relationship of Caspase-3 and Caspase-9 expression. | 2010 | 1 |
| 19 | Research on extraction and determination of polysoccharides from Dioscorea opposita Thunb | 2010 | 1 |
| 20 | Study on Antimicrobial Effect of Flavonoids from Portulace oleracea L. | 2006 | 7 |
About Dan Zhu
Dan Zhu is a scholar working on Biophysics, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Cell Biology and Ophthalmology, having authored 248 papers that have together received 5.8k indexed citations. Recurring topics across this work include Optical Coherence Tomography Applications (55 papers), Advanced Fluorescence Microscopy Techniques (46 papers), Optical Imaging and Spectroscopy Techniques (46 papers), Photoacoustic and Ultrasonic Imaging (37 papers), Cell Image Analysis Techniques (24 papers), Thermoregulation and physiological responses (21 papers), Cellular transport and secretion (18 papers) and Pancreatic function and diabetes (17 papers). The work is most often cited by research in Biophysics (1.5k citations), Biomedical Engineering (2.6k citations), Radiology, Nuclear Medicine and Imaging (1.1k citations), Acoustics and Ultrasonics (36 citations) and Cell Biology (508 citations). Dan Zhu has collaborated with scholars based in China, Russia and Canada. Frequent co-authors include Qingming Luo, Tingting Yu, Valery V. Tuchin, Xiang Wen, Jingtan Zhu, Rui Shi, Kirill V. Larin, Dongyu Li, Jianyi Xu and Chao Zhang. Their work appears in journals such as Journal of Biomedical Optics, Biomedical Optics Express, Journal of Biophotonics, Optics Express and Neurophotonics.
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.