Ion Channel Data Analysis

Ion Channel Data Analysis is a methodological framework within biophysical data analysis that specifically enables the quantification, modeling, and interpretation of ion channel behavior from electrophysiological recordings, distinguished by its focus on characterizing single or ensemble channel dynamics, gating mechanisms, and conductance states.

130

Publications

6.9K

Citations

410

Authors

187

Institutions

Publications per year

2017–2026

18

Authors

410

  1. FS
    Frederick Sachs

    University at Buffalo, State University of New York, United States

    4 publications · 410 citations

    4

    h-index

  2. KL
    Karl L. Magleby

    University of Miami, United States

    3 publications · 139 citations

    3

    h-index

  3. ZS
    Zuzanna S. Siwy

    University of California, Irvine, United States

    3 publications · 156 citations

    3

    h-index

  4. GR
    Gary R. Mirams

    University of Oxford, United Kingdom

    3 publications · 188 citations

    3

    h-index

  5. JS
    James Sneyd

    University of Auckland, New Zealand

    3 publications · 103 citations

    3

    h-index

1–5 of 410

Venues

  1. Biophysical Journal

    21 publications · 2.5K citations

    18

    h-index

  2. 4

    h-index

  3. Methods in molecular biology

    Book series · 4 publications · 117 citations

    4

    h-index

  4. 3

    h-index

  5. Methods in enzymology on CD-ROM/Methods in enzymology

    Book series · 3 publications · 53 citations

    3

    h-index

1–5