Dian Li
Impact in
- Ophthalmology top 2%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
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- Retinal Imaging and Analysis
Papers in
-
- Single-cell and spatial transcriptomics 5
- Advanced biosensing and bioanalysis techniques 4
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- Glaucoma and retinal disorders 16
- Retinal Diseases and Treatments 12
- Co-authors
- Jia Guo (7 shared papers)Changchun Wang (7 shared papers)Wanfu Ma (3 shared papers)Meng Yu (3 shared papers)Mengyu Wang (17 shared papers)Tobias Elze (15 shared papers)Yuting Zhang (3 shared papers)Neda Baniasadi (9 shared papers)
- Journals
- Translational Vision Science & Technology (4 papers)Investigative Ophthalmology & Visual Science (4 papers)Small (4 papers)Ophthalmology (3 papers)Nature Communications (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Dian Li
86 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 133
- Ophthalmology 343
- Radiology, Nuclear Medicine and Imaging 352
- Biomaterials 107
- Biophysics 39
- Molecular Biology 330
Countries citing papers authored by Dian Li
This map shows the geographic impact of Dian Li'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 Dian Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dian Li more than expected).
Fields of papers citing papers by Dian Li
This network shows the impact of papers produced by Dian Li. 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 Dian Li. The network helps show where Dian Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Dian Li, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 83 | |
| 2 | 2014 | 82 | |
| 3 | 2013 | 76 | |
| 4 | 2021 | 73 | |
| 5 | 2012 | 50 | |
| 6 | 2019 | 41 | |
| 7 | 2019 | 40 | |
| 8 | 2020 | 39 | |
| 9 | 2024 | 37 | |
| 10 | 2015 | 37 | |
| 11 | 2017 | 35 | |
| 12 | 2021 | 34 | |
| 13 | 2017 | 31 | |
| 14 | 2014 | 30 | |
| 15 | 2013 | 27 | |
| 16 | 2006 | 27 | |
| 17 | 2022 | 26 | |
| 18 | 2024 | 25 | |
| 19 | 2019 | 24 | |
| 20 | 2022 | 24 |
About Dian Li
Dian Li is a scholar working on Molecular Biology, Ophthalmology, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Epidemiology, having authored 92 papers that have together received 1.2k indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (16 papers), Retinal Imaging and Analysis (13 papers), Retinal Diseases and Treatments (12 papers), Single-cell and spatial transcriptomics (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), MicroRNA in disease regulation (4 papers), Robotic Mechanisms and Dynamics (3 papers) and Video Coding and Compression Technologies (3 papers). The work is most often cited by research in Ophthalmology (343 citations), Radiology, Nuclear Medicine and Imaging (352 citations), Biomaterials (107 citations), Biophysics (39 citations) and Molecular Biology (330 citations). Dian Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jia Guo, Changchun Wang, Wanfu Ma, Meng Yu, Mengyu Wang, Tobias Elze, Yuting Zhang, Neda Baniasadi, Hui Wang and Lucy Q. Shen. Their work appears in journals such as Translational Vision Science & Technology, Investigative Ophthalmology & Visual Science, Small, Ophthalmology and Nature Communications.
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.