David Yeo
Impact in
- Pharmaceutical Science top 2%
- Advancements in Transdermal Drug Delivery
- Dermatology top 5%
Papers in
-
- RNA Interference and Gene Delivery 10
- Advanced biosensing and bioanalysis techniques 10
- Pluripotent Stem Cells Research 5
-
- 3D Printing in Biomedical Research 7
- Co-authors
- Chenjie Xu (30 shared papers)Christian Wiraja (20 shared papers)Daniel Chin Shiuan Lio (6 shared papers)Kanyi Pu (4 shared papers)Xiaoyu Ning (3 shared papers)Qingqing Miao (3 shared papers)Deepak Choudhury (2 shared papers)Satnam Singh (2 shared papers)
- Journals
- SLAS TECHNOLOGY (6 papers)Small (3 papers)Journal of Materials Chemistry B (2 papers)Microelectronics Reliability (2 papers)ACS Applied Materials & Interfaces (2 papers)
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
David Yeo
44 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 117
- Pharmaceutical Science 202
- Dermatology 129
- Biomedical Engineering 565
- Biomaterials 163
- Rehabilitation 69
Countries citing papers authored by David Yeo
This map shows the geographic impact of David Yeo'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 Yeo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Yeo more than expected).
Fields of papers citing papers by David Yeo
This network shows the impact of papers produced by David Yeo. 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 Yeo. The network helps show where David Yeo may publish in the future.
Co-authors
The 25 scholars most cited alongside David Yeo, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 245 | |
| 2 | 2018 | 175 | |
| 3 | 2008 | 153 | |
| 4 | 2020 | 129 | |
| 5 | 2019 | 85 | |
| 6 | 2018 | 74 | |
| 7 | 2017 | 69 | |
| 8 | 2018 | 53 | |
| 9 | 2016 | 49 | |
| 10 | 2020 | 48 | |
| 11 | 2016 | 39 | |
| 12 | 2015 | 37 | |
| 13 | 2014 | 27 | |
| 14 | 2013 | 27 | |
| 15 | 2014 | 26 | |
| 16 | 2016 | 25 | |
| 17 | 2015 | 23 | |
| 18 | 2015 | 20 | |
| 19 | 2014 | 20 | |
| 20 | 2014 | 16 |
About David Yeo
David Yeo is a scholar working on Molecular Biology, Biomedical Engineering, Dermatology, Biomaterials and Electrical and Electronic Engineering, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (10 papers), Advanced biosensing and bioanalysis techniques (10 papers), Dermatologic Treatments and Research (8 papers), 3D Printing in Biomedical Research (7 papers), Electronic Packaging and Soldering Technologies (6 papers), 3D IC and TSV technologies (6 papers), Pluripotent Stem Cells Research (5 papers) and Wound Healing and Treatments (4 papers). The work is most often cited by research in Pharmaceutical Science (202 citations), Dermatology (129 citations), Biomedical Engineering (565 citations), Biomaterials (163 citations) and Rehabilitation (69 citations). David Yeo has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Chenjie Xu, Christian Wiraja, Daniel Chin Shiuan Lio, Kanyi Pu, Xiaoyu Ning, Qingqing Miao, Deepak Choudhury, Satnam Singh, Jianjian Zhang and Lay Poh Tan. Their work appears in journals such as SLAS TECHNOLOGY, Small, Journal of Materials Chemistry B, Microelectronics Reliability and ACS Applied Materials & Interfaces.
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.