Casey Lamers
Impact in
- Biomedical Engineering top 10%
- Microfluidic and Capillary Electrophoresis Applications
- Microfluidic and Bio-sensing Technologies
- 3D Printing in Biomedical Research
- Innovative Microfluidic and Catalytic Techniques Innovation
- Nanopore and Nanochannel Transport Studies
-
- Genomics and Phylogenetic Studies
- Advanced biosensing and bioanalysis techniques
Papers in
-
- 3D Printing in Biomedical Research 3
- Microfluidic and Capillary Electrophoresis Applications 2
- Microfluidic and Bio-sensing Technologies 1
- Nanofabrication and Lithography Techniques 1
-
- Genomics and Phylogenetic Studies 2
- Co-authors
- David C. Schwartz (4 shared papers)Ivar Meyvantsson (3 shared papers)Erwin Berthier (1 shared paper)David J. Guckenberger (1 shared paper)David J. Beebe (1 shared paper)Eric K. Sackmann (1 shared paper)Anna Huttenlocher (1 shared paper)Edmond W. K. Young (1 shared paper)
- Journals
- Analytical Chemistry (2 papers)Analytical Biochemistry (1 paper)SLAS DISCOVERY (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Immunological Methods (1 paper)
- Partner nations
- United StatesPoland
In The Last Decade
Casey Lamers
7 papers receiving 494 citations
Peers
Comparison fields: 5 of 72
- Biomedical Engineering 264
- Molecular Biology 224
- Biophysics 15
- Structural Biology 3
- Endocrinology 10
Countries citing papers authored by Casey Lamers
This map shows the geographic impact of Casey Lamers'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 Casey Lamers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Casey Lamers more than expected).
Fields of papers citing papers by Casey Lamers
This network shows the impact of papers produced by Casey Lamers. 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 Casey Lamers. The network helps show where Casey Lamers may publish in the future.
Co-authors
The 25 scholars most cited alongside Casey Lamers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 143 | |
| 2 | 2011 | 141 | |
| 3 | 2010 | 126 | |
| 4 | 2004 | 53 | |
| 5 | 2010 | 22 | |
| 6 | 2004 | 18 | |
| 7 | 2011 | 11 |
About Casey Lamers
Casey Lamers is a scholar working on Biomedical Engineering, Molecular Biology, Cell Biology, Genetics and Oncology, having authored 7 papers that have together received 514 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (3 papers), Genomics and Phylogenetic Studies (2 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers), Cellular Mechanics and Interactions (2 papers), Chromosomal and Genetic Variations (1 paper), Microfluidic and Bio-sensing Technologies (1 paper), Escherichia coli research studies (1 paper) and Nanofabrication and Lithography Techniques (1 paper). The work is most often cited by research in Biomedical Engineering (264 citations), Molecular Biology (224 citations), Biophysics (15 citations), Structural Biology (3 citations) and Endocrinology (10 citations). Casey Lamers has collaborated with scholars based in United States and Poland. Frequent co-authors include David C. Schwartz, Ivar Meyvantsson, Erwin Berthier, David J. Guckenberger, David J. Beebe, Eric K. Sackmann, Anna Huttenlocher, Edmond W. K. Young, Eileen T. Dimalanta and Chris Churas. Their work appears in journals such as Analytical Chemistry, Analytical Biochemistry, SLAS DISCOVERY, Proceedings of the National Academy of Sciences and Journal of Immunological Methods.
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.