Dave W. Chen
Impact in
- Biochemistry top 10%
- Blood transfusion and management
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
Papers in
- Surgery 12
- Orthopaedic implants and arthroplasty 7
- Total Knee Arthroplasty Outcomes 4
- Co-authors
- Steve Wen‐Neng Ueng (7 shared papers)Mel S. Lee (10 shared papers)Yu‐Han Chang (9 shared papers)Shingjiang Jessie Lue (8 shared papers)Selvaraj Rajesh Kumar (8 shared papers)Chien‐Hao Chen (3 shared papers)Chia-Wei Chang (2 shared papers)Chak-Bor Wong (2 shared papers)
- Journals
- Nanomaterials (4 papers)Journal of the Taiwan Institute of Chemical Engineers (3 papers)Polymers (2 papers)The Journal of Arthroplasty (2 papers)RSC Advances (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Dave W. Chen
38 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 97
- Biochemistry 75
- Biomaterials 133
- Biomedical Engineering 345
- Water Science and Technology 100
- Surgery 283
Countries citing papers authored by Dave W. Chen
This map shows the geographic impact of Dave W. Chen'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 Dave W. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dave W. Chen more than expected).
Fields of papers citing papers by Dave W. Chen
This network shows the impact of papers produced by Dave W. Chen. 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 Dave W. Chen. The network helps show where Dave W. Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dave W. Chen, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 196 | |
| 2 | 2012 | 114 | |
| 3 | 2014 | 91 | |
| 4 | 2018 | 73 | |
| 5 | 2011 | 67 | |
| 6 | 2012 | 49 | |
| 7 | 2020 | 37 | |
| 8 | 2019 | 28 | |
| 9 | 2013 | 28 | |
| 10 | 2020 | 26 | |
| 11 | 2009 | 26 | |
| 12 | 2012 | 23 | |
| 13 | 2012 | 23 | |
| 14 | 2019 | 22 | |
| 15 | 2008 | 20 | |
| 16 | 2022 | 18 | |
| 17 | 2020 | 17 | |
| 18 | 2018 | 16 | |
| 19 | 2011 | 15 | |
| 20 | 2021 | 15 |
About Dave W. Chen
Dave W. Chen is a scholar working on Surgery, Biomaterials, Biomedical Engineering, Microbiology and Materials Chemistry, having authored 39 papers that have together received 1.0k indexed citations. Recurring topics across this work include Orthopaedic implants and arthroplasty (7 papers), Bone Tissue Engineering Materials (6 papers), Graphene and Nanomaterials Applications (6 papers), Total Knee Arthroplasty Outcomes (4 papers), Perovskite Materials and Applications (4 papers), Chalcogenide Semiconductor Thin Films (4 papers), Nanoparticles: synthesis and applications (3 papers) and Antimicrobial Peptides and Activities (3 papers). The work is most often cited by research in Biochemistry (75 citations), Biomaterials (133 citations), Biomedical Engineering (345 citations), Water Science and Technology (100 citations) and Surgery (283 citations). Dave W. Chen has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Steve Wen‐Neng Ueng, Mel S. Lee, Yu‐Han Chang, Shingjiang Jessie Lue, Selvaraj Rajesh Kumar, Chien‐Hao Chen, Chia-Wei Chang, Chak-Bor Wong, Pang‐Hsin Hsieh and Febri Baskoro. Their work appears in journals such as Nanomaterials, Journal of the Taiwan Institute of Chemical Engineers, Polymers, The Journal of Arthroplasty and RSC Advances.
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.