David Yan
Impact in
- Ophthalmology top 5%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
Papers in
-
- Protein Degradation and Inhibitors 3
- Sphingolipid Metabolism and Signaling 2
- Lipid Membrane Structure and Behavior 2
-
- Advancements in Battery Materials 2
- Co-authors
- F.P. Dawson (8 shared papers)M. C. Pugh (6 shared papers)P. M. Biesheuvel (2 shared papers)Martin Z. Bazant (2 shared papers)Lesya Shuba (1 shared paper)Paul Harasymowycz (1 shared paper)Patrick Gooi (1 shared paper)Catherine M. Birt (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (2 papers)IEEE Transactions on Industry Applications (2 papers)Applied Numerical Mathematics (2 papers)Physical review. E (1 paper)Immunology (1 paper)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
David Yan
19 papers receiving 253 citations
Peers
Comparison fields: 5 of 76
- Ophthalmology 71
- Gastroenterology 9
- Radiology, Nuclear Medicine and Imaging 36
- Electrochemistry 8
- Automotive Engineering 14
Countries citing papers authored by David Yan
This map shows the geographic impact of David Yan'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 David Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Yan more than expected).
Fields of papers citing papers by David Yan
This network shows the impact of papers produced by David Yan. 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 David Yan. The network helps show where David Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside David Yan, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 90 | |
| 2 | 2017 | 44 | |
| 3 | 2020 | 19 | |
| 4 | 2013 | 17 | |
| 5 | 2007 | 13 | |
| 6 | 2016 | 12 | |
| 7 | 2024 | 10 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 9 | |
| 10 | 2009 | 9 | |
| 11 | 2014 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2018 | 4 | |
| 14 | 2021 | 3 | |
| 15 | 2012 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2012 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2022 | 0 |
About David Yan
David Yan is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Mechanical Engineering, Materials Chemistry and Surgery, having authored 21 papers that have together received 257 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (3 papers), Innovative Energy Harvesting Technologies (3 papers), Advanced Battery Technologies Research (2 papers), Sphingolipid Metabolism and Signaling (2 papers), Advancements in Battery Materials (2 papers), Lipid Membrane Structure and Behavior (2 papers), Thermal properties of materials (2 papers) and Advanced Thermoelectric Materials and Devices (2 papers). The work is most often cited by research in Ophthalmology (71 citations), Gastroenterology (9 citations), Radiology, Nuclear Medicine and Imaging (36 citations), Electrochemistry (8 citations) and Automotive Engineering (14 citations). David Yan has collaborated with scholars based in Canada, United States and China. Frequent co-authors include F.P. Dawson, M. C. Pugh, P. M. Biesheuvel, Martin Z. Bazant, Lesya Shuba, Paul Harasymowycz, Patrick Gooi, Catherine M. Birt, Cindy Hutnik and Delan Jinapriya. Their work appears in journals such as Journal of Medicinal Chemistry, IEEE Transactions on Industry Applications, Applied Numerical Mathematics, Physical review. E and Immunology.
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.