High-throughput Expression Platforms

High-Throughput Expression Platforms is a specialized experimental framework designed for the parallelized and automated expression of large numbers of enzymes or proteins, distinguished by its capacity to rapidly screen and characterize genetic constructs under standardized conditions.

228

Publications

32K

Citations

1.5K

Authors

449

Institutions

Publications per year

2017–2026

46

Authors

1.5K

  1. FC
    F. Collart

    Argonne National Laboratory, United States

    6 publications · 417 citations

    6

    h-index

  2. HL
    Hans Lehrach

    Max Planck Institute for Molecular Genetics, Germany

    5 publications · 413 citations

    5

    h-index

  3. JL
    Joshua LaBaer

    Arizona State University, United States

    4 publications · 160 citations

    4

    h-index

  4. MJ
    Mónica J.B. Amorim

    University of Aveiro, Portugal

    4 publications · 80 citations

    4

    h-index

  5. SI
    Susana I.L. Gomes

    University of Aveiro, Portugal

    4 publications · 80 citations

    4

    h-index

1–5 of 1.5K

Venues

  1. Protein Expression and Purification

    12 publications · 609 citations

    12

    h-index

  2. Methods in molecular biology

    Book series · 13 publications · 292 citations

    12

    h-index

  3. PLoS ONE

    11 publications · 659 citations

    10

    h-index

  4. BMC Bioinformatics

    9 publications · 574 citations

    9

    h-index

  5. Molecular & Cellular Proteomics

    MCP · 7 publications · 379 citations

    7

    h-index

1–5