Casey Lamers

1.2k citations
9 papers · 992 · h-index 9

Impact in

  • Cell Biology top 10%
    • Plant Pathogens and Fungal Diseases
    • Plant-Microbe Interactions and Immunity
    • Chromosomal and Genetic Variations

Papers in

    • Yersinia bacterium, plague, ectoparasites research 2
    • Cellular Mechanics and Interactions 2

Casey Lamers

9 papers receiving 965 citations

Peers

Casey Lamers
Comparison fields: 5 of 89
  • Cell Biology 215
  • Plant Science 342
  • Biomedical Engineering 301
  • Molecular Biology 416
  • Endocrinology 19
Replace Kyriaki M. Glynou with:
Kyriaki M. Glynou Germany
Yona Kassir Israel
Lukasz Kozubowski United States
Alexi I. Goranov United States
Hans‐Ulrich Mösch Germany
Tina Y. Liu United States
Hervé Garreau France
Hiep Thanh Tran United States
Gilad Yaakov Israel
Kevin McEntee United States
Casey Lamers relative to Kyriaki M. Glynou Germany Kyriaki M. Glynou's profile →
Citations per field
00.5×1.5×2×2.4×
Kyriaki M. Glynou · 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-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.

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

All Works

9 of 9 papers shown
#Work
1 2009378
2 2004157
3 2011150
4 2010138
5 200460
6 200254
7 201022
8 200420
9 201113

About Casey Lamers

Casey Lamers is a scholar working on Genetics, Cell Biology, Biomedical Engineering, Endocrinology and Biophysics, having authored 9 papers that have together received 992 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), 3D Printing in Biomedical Research (3 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers), Cellular Mechanics and Interactions (2 papers), Yersinia bacterium, plague, ectoparasites research (2 papers), CRISPR and Genetic Engineering (1 paper), Microfluidic and Bio-sensing Technologies (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Cell Biology (215 citations), Plant Science (342 citations), Biomedical Engineering (301 citations), Molecular Biology (416 citations) and Endocrinology (19 citations). Casey Lamers has collaborated with scholars based in United States and France. Frequent co-authors include David C. Schwartz, Ivar Meyvantsson, Edmond W. K. Young, David J. Guckenberger, Erwin Berthier, David J. Beebe, Eric K. Sackmann, Anna Huttenlocher, Eileen T. Dimalanta and Juan Pablo. Their work appears in journals such as Analytical Chemistry, Applied and Environmental Microbiology, Journal of Immunological Methods, PLoS Genetics and Proceedings of the National Academy of Sciences.

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.

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