Ion Source Optimization

Ion Source Optimization is a methodological framework within analytical chemistry that systematically enhances the efficiency, sensitivity, and stability of ion generation in mass spectrometry by fine-tuning operational parameters and source design to maximize ion yield and minimize signal variability.

396

Publications

14.7K

Citations

1.6K

Authors

402

Institutions

Publications per year

2017–2026

50

Authors

1.6K

  1. KN
    K. N. Leung

    Lawrence Berkeley National Laboratory, United States

    12 publications · 548 citations

    11

    h-index

  2. GS
    G. Serianni

    National Agency for New Technologies, Energy and Sustainable Economic Development, Italy

    9 publications · 279 citations

    9

    h-index

  3. KW
    K. W. Ehlers

    University of California, Berkeley, United States

    9 publications · 477 citations

    9

    h-index

  4. MC
    M. Cavenago

    Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Legnaro, Italy

    8 publications · 266 citations

    8

    h-index

  5. PV
    P. Veltri

    National Agency for New Technologies, Energy and Sustainable Economic Development, Italy

    8 publications · 266 citations

    8

    h-index

1–5 of 1.6K

Venues

  1. Analytical Chemistry

    29 publications · 1.8K citations

    21

    h-index

  2. 20

    h-index

  3. Review of Scientific Instruments

    45 publications · 1.3K citations

    19

    h-index

  4. Journal of Analytical Atomic Spectrometry

    JAAS · 19 publications · 887 citations

    16

    h-index

  5. Journal of the American Society for Mass Spectrometry

    JASMS · 18 publications · 797 citations

    16

    h-index

1–5