Chen Dun
Impact in
- Ophthalmology top 5%
- Intraocular Surgery and Lenses
- Ocular Infections and Treatments
Papers in ⓘ
- Surgery 21
- Peripheral Artery Disease Management 19
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- Vascular Procedures and Complications 11
- Co-authors
- Martin A. Makary (40 shared papers)Caitlin W. Hicks (25 shared papers)James H. Black (20 shared papers)Anastasios Kyrillidis (4 shared papers)C. Wolfe (3 shared papers)Christi Walsh (12 shared papers)Fasika A. Woreta (16 shared papers)Christopher J. Abularrage (9 shared papers)
- Journals
- Journal of Vascular Surgery (12 papers)Cornea (5 papers)Ophthalmology (5 papers)Annals of Vascular Surgery (3 papers)Journal of Cataract & Refractive Surgery (3 papers)
- Partner nations
- United StatesGermanySingapore
In The Last Decade
Chen Dun
44 papers receiving 489 citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Internal Medicine 28
- Ophthalmology 67
- Health Informatics 6
- Pulmonary and Respiratory Medicine 88
- Surgery 116
Countries citing papers authored by Chen Dun
This map shows the geographic impact of Chen Dun'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 Chen Dun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Dun more than expected).
Fields of papers citing papers by Chen Dun
This network shows the impact of papers produced by Chen Dun. 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 Chen Dun. The network helps show where Chen Dun may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Dun, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Current progress and open challenges for applying deep learning across the biosciences Hit paper breakdown → | 2022 | 171 |
| 2 | 2022 | 43 | |
| 3 | 2021 | 37 | |
| 4 | 2021 | 28 | |
| 5 | 2022 | 23 | |
| 6 | 2020 | 21 | |
| 7 | 2022 | 20 | |
| 8 | 2022 | 18 | |
| 9 | 2021 | 17 | |
| 10 | 2022 | 13 | |
| 11 | 2023 | 11 | |
| 12 | 2022 | 9 | |
| 13 | 2023 | 7 | |
| 14 | 2022 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2024 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2024 | 5 | |
| 20 | 2023 | 5 |
About Chen Dun
Chen Dun is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Ophthalmology, Epidemiology and Economics and Econometrics, having authored 58 papers that have together received 501 indexed citations. Recurring topics across this work include Peripheral Artery Disease Management (19 papers), Vascular Procedures and Complications (11 papers), Ocular Infections and Treatments (10 papers), Intraocular Surgery and Lenses (9 papers), Glaucoma and retinal disorders (7 papers), Venous Thromboembolism Diagnosis and Management (7 papers), Corneal surgery and disorders (6 papers) and Healthcare cost, quality, practices (5 papers). The work is most often cited by research in Internal Medicine (28 citations), Ophthalmology (67 citations), Health Informatics (6 citations), Pulmonary and Respiratory Medicine (88 citations) and Surgery (116 citations). Chen Dun has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Martin A. Makary, Caitlin W. Hicks, James H. Black, Anastasios Kyrillidis, C. Wolfe, Christi Walsh, Fasika A. Woreta, Christopher J. Abularrage, Dinler A. Antunes and Mohammadamin Edrisi. Their work appears in journals such as Journal of Vascular Surgery, Cornea, Ophthalmology, Annals of Vascular Surgery and Journal of Cataract & Refractive Surgery.
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.