12 citations as recorded by crossref.

1. Distribution and physical–biological controls of dimethylsulfide in the western tropical Indian Ocean during winter monsoon S. Liang et al. https://doi.org/10.3389/fmars.2023.1100678
2. Global analysis of the controls on seawater dimethylsulfide spatial variability G. Manville et al. https://doi.org/10.5194/bg-20-1813-2023
3. Dimethylated sulfur compounds in the Peruvian upwelling system Y. Zhao et al. https://doi.org/10.5194/bg-19-701-2022
4. Climate Change Impacts on the Marine Cycling of Biogenic Sulfur: A Review R. Jackson & A. Gabric https://doi.org/10.3390/microorganisms10081581
5. Nested cross-validation Gaussian process to model dimethylsulfide mesoscale variations in warm oligotrophic Mediterranean seawater K. Mansour et al. https://doi.org/10.1038/s41612-024-00830-y
6. Twenty years of ocean observations with China Argo Z. Liu et al. https://doi.org/10.1007/s13131-022-2076-3
7. Potential roles of dimethysulfoxide in regional sulfur cycling and phytoplankton physiological ecology in the NE Subarctic Pacific A. Herr et al. https://doi.org/10.1002/lno.11589
8. Oceanographic controls on Southern Ocean dimethyl sulfide distributions revealed by machine learning algorithms B. McNabb & P. Tortell https://doi.org/10.1002/lno.12298
9. Machine learning for prediction of daily sea surface dimethylsulfide concentration and emission flux over the North Atlantic Ocean (1998–2021) K. Mansour et al. https://doi.org/10.1016/j.scitotenv.2023.162123
10. Bacterial responses to background organic pollutants in the northeast subarctic Pacific Ocean A. Martinez‐Varela et al. https://doi.org/10.1111/1462-2920.15646
11. Improved prediction of dimethyl sulfide (DMS) distributions in the northeast subarctic Pacific using machine-learning algorithms B. McNabb & P. Tortell https://doi.org/10.5194/bg-19-1705-2022
12. Volatile Organic Compounds Released by Oxyrrhis marina Grazing on Isochrysis galbana C. Wohl et al. https://doi.org/10.3390/oceans4020011