Nanoparticle Size Optimization

Nanoparticle Size Optimization is a computational and experimental methodology within nanomaterials science that systematically determines the optimal physical dimensions of nanoparticles to maximize desired functional properties, such as bioavailability, targeting efficiency, or optical response, while minimizing undesirable effects like toxicity or rapid clearance.

332

Publications

22.9K

Citations

1.6K

Authors

598

Institutions

Publications per year

2017–2026

147

Authors

1.6K

  1. AA
    Amir Amani

    Tehran University of Medical Sciences, Iran

    7 publications · 282 citations

    7

    h-index

  2. YW
    Yu‐Hua Wen

    Xiamen University, China

    3 publications · 86 citations

    3

    h-index

  3. BL
    Bin Liu

    National University of Singapore, Singapore

    3 publications · 99 citations

    3

    h-index

  4. MJ
    Mohsen Jahanshahi

    Babol University of Medical Sciences, Iran

    3 publications · 107 citations

    3

    h-index

  5. TL
    Tun-Dong Liu

    Xiamen University, China

    3 publications · 86 citations

    3

    h-index

1–5 of 1.6K

Venues

  1. Chemistry of Materials

    8 publications · 1.5K citations

    8

    h-index

  2. 8

    h-index

  3. The Journal of Physical Chemistry C

    7 publications · 741 citations

    7

    h-index

  4. Journal of Nanoparticle Research

    6 publications · 307 citations

    6

    h-index

  5. Pharmaceutical Development and Technology

    6 publications · 264 citations

    6

    h-index

1–5