Standout Papers

Diagnosing COVID-19: The Disease and Tools for Detection 2020 2026 2022 20241.2k
  1. Diagnosing COVID-19: The Disease and Tools for Detection (2020)
    Buddhisha Udugama, Pranav Kadhiresan et al. ACS Nano

Immediate Impact

3 by Nobel laureates 7 from Science/Nature 55 standout
Sub-graph 1 of 21

Citing Papers

Amplification-free, OR-gated CRISPR-Cascade reaction for pathogen detection in blood samples
2025 Standout
Luminescent Lanthanides in Biorelated Applications: From Molecules to Nanoparticles and Diagnostic Probes to Therapeutics
2025 Standout
4 intermediate papers

Works of H Kozłowski being referenced

Diagnosing Antibiotic Resistance Using Nucleic Acid Enzymes and Gold Nanoparticles
2021
Diagnosing COVID-19: The Disease and Tools for Detection
2020 Standout

Author Peers

Author Last Decade Papers Cites
H Kozłowski 979 63 494 659 21 1.4k
Yingzhi Liu 806 93 356 284 34 1.4k
Matthew Osborne 1009 51 434 659 19 1.4k
Pranav Kadhiresan 961 45 466 687 8 1.3k
Chenjian Gu 699 88 609 352 22 1.3k
Buddhisha Udugama 960 42 458 678 7 1.3k
Ayden Malekjahani 965 43 448 656 8 1.3k
Rose Lee 691 210 669 642 24 1.6k
Mahmudul Hasan 636 85 371 342 17 1.1k
Milankumar Patel 608 79 341 333 11 1.1k
Wei Lin Lee 848 53 452 426 22 1.3k

All Works

Loading papers...

Rankless by CCL
2026