Single-cell Analysis Platforms

Single-Cell Analysis Platforms is a specialized class of microsystem technology that enables the isolation, manipulation, and molecular or functional characterization of individual cells within heterogeneous populations, distinguishing it from bulk analysis methods by providing high-resolution, cell-level data in the context of cell culture and physiological modeling.

851

Publications

75.6K

Citations

4.6K

Authors

1.2K

Institutions

Publications per year

2017–2026

462

Authors

4.6K

  1. ZY
    Zhibo Yang

    University of Oklahoma, United States

    11 publications · 643 citations

    11

    h-index

  2. JC
    J. Christopher Love

    Massachusetts Institute of Technology, United States

    11 publications · 1.2K citations

    11

    h-index

  3. GP
    Garry P. Nolan

    Stanford University, United States

    12 publications · 3.7K citations

    11

    h-index

  4. HC
    Hong‐Yuan Chen

    Nanjing University, China

    9 publications · 574 citations

    9

    h-index

  5. XZ
    Xinrong Zhang

    Tsinghua University, China

    9 publications · 352 citations

    9

    h-index

1–5 of 4.6K

Venues

  1. Analytical Chemistry

    84 publications · 6.3K citations

    47

    h-index

  2. Lab on a Chip

    55 publications · 3.7K citations

    36

    h-index

  3. Nature Communications

    21 publications · 2.3K citations

    19

    h-index

  4. TrAC Trends in Analytical Chemistry

    20 publications · 1.1K citations

    18

    h-index

  5. Scientific Reports

    21 publications · 1.3K citations

    17

    h-index

1–5