38 citations as recorded by crossref.

1. Spatial and seasonal variation of the airborne microbiome in a rapidly developing city of China H. Li et al. 10.1016/j.scitotenv.2019.01.367
2. Monitoring antibiotic resistomes and bacterial microbiomes in the aerosols from fine, hazy, and dusty weather in Tianjin, China using a developed high-volume tandem liquid impinging sampler Y. Zhao et al. 10.1016/j.scitotenv.2020.139242
3. Structural Characteristics and Functional Implications of PM2.5 Bacterial Communities During Fall in Beijing and Shanghai, China Y. Pan et al. 10.3389/fmicb.2019.02369
4. Classification of Clouds Sampled at the Puy de Dôme Station (France) Based on Chemical Measurements and Air Mass History Matrices P. Renard et al. 10.3390/atmos11070732
5. Diversity of bacteria in cloud water collected at a National Atmospheric Monitoring Station in Southern China P. Jiaxian et al. 10.1016/j.atmosres.2018.12.004
6. Characteristics of airborne bacterial communities across different PM2.5 levels in Beijing during winter and spring Y. Zhang et al. 10.1016/j.atmosres.2022.106179
7. Overlooked Significant Impact of Trace Metals on the Bacterial Community of PM2.5 in High‐Time Resolution C. Xu et al. 10.1029/2021JD035408
8. Seasonal Disparities in Airborne Bacteria and Associated Antibiotic Resistance Genes in PM2.5 between Urban and Rural Sites J. Xie et al. 10.1021/acs.estlett.7b00561
9. Exploring the disparity of inhalable bacterial communities and antibiotic resistance genes between hazy days and non-hazy days in a cold megacity in Northeast China X. Sun et al. 10.1016/j.jhazmat.2020.122984
10. H<sub>2</sub>O<sub>2</sub> modulates the energetic metabolism of the cloud microbiome N. Wirgot et al. 10.5194/acp-17-14841-2017
11. PM2.5 drives bacterial functions for carbon, nitrogen, and sulfur cycles in the atmosphere H. Liu et al. 10.1016/j.envpol.2021.118715
12. Biological Aerosol Particles in Polluted Regions W. Hu et al. 10.1007/s40726-020-00138-4
13. Constraining the Impact of Bacteria on the Aqueous Atmospheric Chemistry of Small Organic Compounds A. Fankhauser et al. 10.1021/acsearthspacechem.9b00054
14. Size distribution of bioaerosols from biomass burning emissions: Characteristics of bacterial and fungal communities in submicron (PM1.0) and fine (PM2.5) particles M. Wei et al. 10.1016/j.ecoenv.2018.12.026
15. Design and Evaluation of ACFC—An Automatic Cloud/Fog Collector P. Du et al. 10.3390/atmos14030563
16. Microbial community in indoor dusts from university dormitories: Characteristics, potential pathogens and influence factors Z. Wu et al. 10.1016/j.apr.2020.12.018
17. Insights into tropical cloud chemistry in Réunion (Indian Ocean): results from the BIO-MAÏDO campaign P. Dominutti et al. 10.5194/acp-22-505-2022
18. Airborne Bacterial Communities in the Poultry Farm and Their Relevance with Environmental Factors and Antibiotic Resistance Genes X. Xu et al. 10.2139/ssrn.4140138
19. Bacteria in atmospheric waters: Detection, characteristics and implications W. Hu et al. 10.1016/j.atmosenv.2018.02.026
20. Characterization of bacterial diversity and ice-nucleating ability during different monsoon seasons over a southern tropical Indian region M. Akila et al. 10.1016/j.atmosenv.2018.08.026
21. Falling bacterial communities from the atmosphere C. Woo & N. Yamamoto 10.1186/s40793-020-00369-4
22. Feedback of airborne bacterial consortia to haze pollution with different PM2.5 levels in typical mountainous terrain of Jinan, China L. Ji et al. 10.1016/j.scitotenv.2019.133912
23. Exploring the effects of haze pollution on airborne fungal composition in a cold megacity in Northeast China X. Sun et al. 10.1016/j.jclepro.2020.124205
24. Microbial, environmental and anthropogenic factors influencing the indoor microbiome of the built environment S. Rai et al. 10.1002/jobm.202000575
25. Structure, Diversity, and Composition of Bacterial Communities in Rhizospheric Soil of Coptis chinensis Franch under Continuously Cropped Fields M. Alami et al. 10.3390/d12020057
26. Airborne fungal communities are more susceptible to anthropogenic activities than bacteria Y. Pan et al. 10.1016/j.jes.2023.12.028
27. Puy de Dôme Station (France): A Stoichiometric Approach to Compound Classification in Clouds P. Renard et al. 10.1029/2022JD036635
28. Distribution characteristics of airborne bacterial community in different anthropogenic activity regions across Nanchang, China Y. Pan et al. 10.1016/j.apr.2022.101610
29. Fungi diversity in PM<sub>2. 5</sub> and PM<sub>1</sub> at the summit of Mt. Tai: abundance, size distribution, and seasonal variation C. Xu et al. 10.5194/acp-17-11247-2017
30. Effects of pH and light exposure on the survival of bacteria and their ability to biodegrade organic compounds in clouds: implications for microbial activity in acidic cloud water Y. Liu et al. 10.5194/acp-23-1731-2023
31. Insights on Chemistry of Mercury Species in Clouds over Northern China: Complexation and Adsorption T. Li et al. 10.1021/acs.est.7b06669
32. Abundance and Diurnal Trends of Fluorescent Bioaerosols in the Troposphere over Mt. Tai, China, in Spring S. Yue et al. 10.1029/2018JD029486
33. Observation on the Droplet Ranging from 2 to 16 μm in Cloud Droplet Size Distribution Based on Digital Holography P. Gao et al. 10.3390/rs14102414
34. Profile of inhalable bacteria in PM2.5 at Mt. Tai, China: Abundance, community, and influence of air mass trajectories C. Xu et al. 10.1016/j.ecoenv.2018.10.071
35. Role of Atmospheric Bioaerosols in Atmospheric Corrosion: Short Review M. Emetere et al. 10.1088/1755-1315/563/1/012006
36. Seasonal Variation Characteristics of Bacteria and Fungi in PM2.5 in Typical Basin Cities of Xi’an and Linfen, China S. Wang et al. 10.3390/atmos12070809
37. Seasonal Analysis of Microbial Communities in Precipitation in the Greater Tokyo Area, Japan S. Hiraoka et al. 10.3389/fmicb.2017.01506
38. Active microorganisms thrive among extremely diverse communities in cloud water P. Amato et al. 10.1371/journal.pone.0182869