Casey Lamers

1.2k citations
7 papers · 513 indexed · h-index 7

Impact in

    • 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

Casey Lamers

7 papers receiving 493 citations

Peers

Casey Lamers
Comparison fields: 5 of 74
  • Biomedical Engineering 264
  • Molecular Biology 252
  • Biophysics 15
  • Structural Biology 3
  • Plant Science 76
Replace Denitsa Milanova with:
Denitsa Milanova United States
Rod Runnheim United States
Anupama Sinha United States
Jason Warner United States
Véronique Anton Leberre France
Virginia Clarke United States
Gregor Sagner Germany
Maritha Mendel-Hartvig Sweden
Tomoharu Kajiyama Japan
Konstantinos Potamousis United States
Casey Lamers relative to Denitsa Milanova United States Denitsa Milanova's profile →
Citations per field
00.5×1.5×
Denitsa Milanova · 1×
Citations per year

Countries citing papers authored by Casey Lamers

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Casey Lamers Line = papers co-authored together Casey Lamers links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201111
2 2011140
3 201022
4 2010126
5 200418
6 2004143
7 200453

About Casey Lamers

Casey Lamers is a scholar working on Endocrinology, Biophysics, Cell Biology, Biomedical Engineering and Genetics, having authored 7 papers that have together received 513 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), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper), CRISPR and Genetic Engineering (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Yersinia bacterium, plague, ectoparasites research (1 paper). The work is most often cited by research in Biomedical Engineering (264 citations), Molecular Biology (252 citations), Biophysics (15 citations), Structural Biology (3 citations) and Plant Science (76 citations). Casey Lamers has collaborated with scholars based in United States. Frequent co-authors include David C. Schwartz, Ivar Meyvantsson, Erwin Berthier, Anna Huttenlocher, Eric K. Sackmann, David J. Beebe, Edmond W. K. Young, David J. Guckenberger, Eileen T. Dimalanta and Juan Pablo. Their work appears in journals such as Analytical Chemistry, SLAS DISCOVERY, Journal of Bacteriology, Journal of Immunological Methods and Analytical Biochemistry.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026