28 citations as recorded by crossref.

1. An evaluation of the heat test for the ice-nucleating ability of minerals and biological material M. Daily et al. 10.5194/amt-15-2635-2022
2. Fluorescence signal of proteins in birch pollen distorted within its native matrix: Identification of the fluorescence suppressor quercetin-3-O-sophoroside T. Seifried et al. 10.1007/s00216-022-04109-0
3. Automatic detection of airborne pollen: an overview J. Buters et al. 10.1007/s10453-022-09750-x
4. Local spatiotemporal dynamics of particulate matter and oak pollen measured by machine learning aided optical particle counters S. Mills et al. 10.1016/j.scitotenv.2024.173450
5. Machine learning methods for low-cost pollen monitoring – Model optimisation and interpretability S. Mills et al. 10.1016/j.scitotenv.2023.165853
6. Development of a sampling protocol for collecting leaf surface material for multiphase chemistry studies R. Ossola et al. 10.1039/D4EM00065J
7. The presence of nanoparticles in aqueous droplets containing plant-derived biopolymers plays a role in heterogeneous ice nucleation P. Bieber et al. 10.1063/5.0213171
8. Optimized Spectrophotometry Method for Starch Quantification P. Bahdanovich et al. 10.3390/analytica3040027
9. Patterns of Phenolic Compounds in Betula and Pinus Pollen I. Kerienė et al. 10.3390/plants12020356
10. Cloud condensation nuclei activation properties of Mediterranean pollen types considering organic chemical composition and surface tension effects A. Casans et al. 10.1016/j.atmosenv.2023.119961
11. High interspecific variability in ice nucleation activity suggests pollen ice nucleators are incidental N. Kinney et al. 10.5194/bg-21-3201-2024
12. Ice nucleation activity of airborne pollen: A short review of results from laboratory experiments P. Duan et al. 10.1016/j.atmosres.2023.106659
13. When Do Subpollen Particles Become Relevant for Ice Nucleation Processes in Clouds? S. Werchner et al. 10.1029/2021JD036340
14. Prediction of airborne pollen and sub-pollen particles for thunderstorm asthma outbreaks assessment S. Nickovic et al. 10.1016/j.scitotenv.2022.160879
15. Scots Pines (Pinus sylvestris) as Sources of Biological Ice-Nucleating Macromolecules (INMs) T. Seifried et al. 10.3390/atmos14020266
16. Effect of Aggregation and Molecular Size on the Ice Nucleation Efficiency of Proteins A. Alsante et al. 10.1021/acs.est.3c06835
17. Constructing a pollen proxy from low-cost Optical Particle Counter (OPC) data processed with Neural Networks and Random Forests S. Mills et al. 10.1016/j.scitotenv.2023.161969
18. Ice nucleation catalyzed by the photosynthesis enzyme RuBisCO and other abundant biomolecules A. Alsante et al. 10.1038/s43247-023-00707-7
19. Pollen Emissions of Subpollen Particles and Ice Nucleating Particles B. Matthews et al. 10.1021/acsearthspacechem.3c00014
20. High-speed cryo-microscopy reveals that ice-nucleating proteins of Pseudomonas syringae trigger freezing at hydrophobic interfaces P. Bieber & N. Borduas-Dedekind 10.1126/sciadv.adn6606
21. Impact of environmental nitrogen pollution on pollen allergy: A scoping review P. Verscheure et al. 10.1016/j.scitotenv.2023.164801
22. From trees to rain: enhancement of cloud glaciation and precipitation by pollen J. Kretzschmar et al. 10.1088/1748-9326/ad747a
23. Characterization of organic species and functional groups in pollen, fungi, algae, and bacteria bioaerosols P. Bahdanovich et al. 10.1039/D4EA00083H
24. Microbial ice-binding structures: A review of their applications M. Uko et al. 10.1016/j.ijbiomac.2024.133670
25. Identifying putative allergens from Cenostigma pluviosum pollen using proteomic bioinformatics J. Neto et al. 10.1007/s11033-024-10079-6
26. Spectral dependence of birch and pine pollen optical properties using a synergy of lidar instruments M. Filioglou et al. 10.5194/acp-23-9009-2023
27. Live oak pollen as a source of atmospheric particles B. Hendrickson et al. 10.1007/s10453-022-09773-4
28. Pollen Emissions of Subpollen Particles and Ice Nucleating Particles B. Matthews et al. 10.1021/acsearthspacechem.3c00014