JALA - Journal of the Association for Laboratory Automation

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Health Professions, designed to support cutting-edge academic discovery.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• National Instruments LabVIEW: A Programming Environment for Laboratory Automation and Measurement

  Citation: 218

  Authors: Chance, Vipin, Wesley, Richard

• Microfluidic Immunoassays

  Citation: 119

  Authors: Chun-Che, Jung-Hao, Hui-Wen, Gwo-Bin

• Matrix Effects—A Challenge toward Automation of Molecular Analysis

  Citation: 109

  Authors: May L., Walson, Steven T., Pak Kin, Joseph C., Vincent

• Advances in DNA-Based Techniques for the Detection of Seafood Species Substitution on the Commercial Market

  Citation: 100

  Authors: Rosalee S. Rasmussen, Michael T.

• Superhydrophilic Surfaces for Antifoqging and Antifouling Microfluidic Devices

  Citation: 79

  Authors: Pragneshkumar, Chang K., Dennis Desheng

• Functional Cardiotoxicity Profiling and Screening Using the xCELLigence RTCA Cardio System

  Citation: 76

  Authors: Biao, Tianxing, Nan, Wei, William, Jieying, Xiao, Xiaobo, Yama A.

• Acoustically Driven Programmable Microfluidics for Biological and Chemical Applications

  Citation: 69

  Authors: Achim

• Automated Digital Microfluidic Sample Preparation for Next-Generation DNA Sequencing

  Citation: 63

  Authors: Hanyoup, Michael S., Ronald F., Jim, James L., Mark R., Kamlesh D.

• A Review of Electronic Laboratory Notebooks Available in the Market Today

  Citation: 62

  Authors: Michael, Anil K., Stephen C.

• Application of Kevin—Voigt Model in Quantifying Whey Protein Adsorption on Polyethersulfone Using QCM-D

  Citation: 56

  Authors: Sean X., Jun-Tae