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Hoppe, P., Rubin, M. and Altwegg, K.: A Comparison of Presolar Isotopic Signatures in Laboratory-Studied Primitive Solar System Materials and Comet 67P/Churyumov-Gerasimenko: New Insights from Light Elements, Halogens, and Noble Gases, Space Science Reviews, 219, doi:10.1007/s11214-023-00977-9, 2023.

Hong, J., Tang, M., Wang, Q., Ma, N., Zhu, S., Zhang, S., Pan, X., Xie, L., Li, G., Kuhn, U., Yan, C., Tao, J., Kuang, Y., He, Y., Xu, W., Cai, R., Zhou, Y., Wang, Z., Zhou, G., Yuan, B., Cheng, Y. and Su, H.: Measurement Report: Wintertime new particle formation in the rural area of the North China Plain – influencing factors and possible formation mechanism, Atmospheric Chemistry and Physics, 23(10), 5699–5713, doi:10.5194/acp-23-5699-2023, 2023.

Zhang, M., Cheng, Y., Fu, R., Giorgi, F., Leung, R., Liang, X.-Z., Mellouki, W., Randel, W., Riemer, N., Rogers, R., Russell, L., Yang, P., Qian, Y., Hu, Y. and Qie, X.: Appreciation of Peer Reviewers for 2022, Journal of Geophysical Research: Atmospheres, 128(9), doi:10.1029/2023JD039103, 2023.

Milner, J., Hughes, R., Chowdhury, S., Picett, R., Ghosh, R., Yeung, S., Lelieveld, J., Dangour, A. D. and Wilkinson, P.: Air pollution and child health impacts of decarbonization in 16 global cities: Modelling study, Environment International, 175, doi:10.1016/j.envint.2023.107972, 2023.

Bensemann, J., Cheena, H., Huang, D. T. J., Broadbent, E., Williams, J. and Wicker, J.: From What You See to What We Smell: Linking Human Emotions to Bio-markers in Breath, IEEE transactions on affective computing, doi:10.1109/TAFFC.2023.3275216., 2023.

Wang, J., Wang, J., Cai, R., Liu, C., Jiang, J., Nie, W., Wang, J., Moteki, N., Zaveri, R. A., Huang, X., Ma, N., Chen, G., Wang, Z., Jin, Y., Cai, J., Zhang, Y., Chi, X., Holanda, B. A., Xing, J., Liu, T., Qi, X., Wang, Q., Pöhlker, C., Su, H., Cheng, Y., Wang, S., Hao, J., Andreae, M. O. and Ding, A.: Unified theoretical framework for black carbon mixing state allows greater accuracy of climate effect estimation, Nature Communications, 14, doi:10.1038/s41467-023-38330-x, 2023.

Georgiades, P., Proestos, Y., Lelieveld, J. and Erguler, K.: Machine Learning Modeling of Aedes albopictus Habitat Suitability in the 21st Century, Insects, 14(5), doi:10.3390/insects14050447, 2023.

Holanda, B. A., Franco, M. A., Walter, D., Artaxo, P., Carbone, S., Cheng, Y., Chowdhury, S., Ditas, F., Gysel-Beer, M., Klimach, T., Kremper, L. A., Krüger, O. O., Lavric, J. V., Lelieveld, J., Ma, C., Machado, L. A. T., Modini, R. L., Morais, F. G., Pozzer, A., Saturno, J., Su, H., Wendisch, M., Wolff, S., Pöhlker, M. L., Andreae, M. O., Pöschl, U. and Pöhlker, C.: African biomass burning affects aerosol cycling over the Amazon, Communications Earth & Environment, 4, doi:10.1038/s43247-023-00795-5, 2023.

Dovrou, E., Lelieveld, S., Mishra, A., Pöschl, U. and Berkemeier, T.: Influence of ambient and endogenous H₂O₂ on reactive oxygen species concentrations and OH radical production in the respiratory tract, Environmental science: Atmospheres, doi:10.1039/D2EA00179A, 2023.

Chan, K. L., Valks, P., Heue, K.-P., Lutz, R., Hedelt, P., Loyola, D., Pinardi, G., Roozendael, M. V., Hendrick, F., Wagner, T., Kumar, V., Bais, A., Piters, A., Irie, H., Takashima, H., Kanaya, Y., Choi, Y., Park, K., Chong, J., Cede, A., Frieß, U., Richter, A., Ma, J., Benavent, N., Holla, R., Postylyakov, O., Cárdenas, C. R. and Wenig, M.: Global Ozone Monitoring Experiment-2 (GOME-2) daily and monthly level-3 products of atmospheric trace gas columns, Earth System Science Data, 15(4), 1831–1870, doi:10.5194/essd-15-1831-2023, 2023.

Keller, K., Haghi, S. H. R., Hahad, O., Schmidtmann, I., Chowdhury, S., Lelieveld, J., Münzel, T. and Hobohm, L.: Air pollution impacts on in-hospital case-fatality rate of ischemic stroke patients, Thrombosis Research, 225, 116–125, doi:10.1016/j.thromres.2023.03.006, 2023.

Repschläger, J., Weinelt, M., Schneider, R., Blanz, T., Leduc, G., Schiebel, R. and Haug, G. H.: Disentangling multiproxy temperature reconstructions from the subtropical North Atlantic, Frontiers in Ecology and Evolution, 11, doi:10.3389/fevo.2023.1176278, 2023.

Pozo, K., Oyola, G., Jorquera, H., Gomez, V., Galbán-Malagón, C., Mena-Carrasco, M., Audy, O., Příbylová, P., Guida, Y., Estellano, V. H., Lammel, G. and Klánová, J.: Environmental signature and health risk assessment of polybrominated diphenyl ethers (PBDEs) emitted from a landfill fire in Santiago de Chile, Environmental Pollution, 330, doi:10.1016/j.envpol.2023.121648, 2023.

Lei, T., Su, H., Ma, N., Pöschl, U., Wiedensohler, A. and Cheng, Y.: Size-dependent hygroscopicity of levoglucosan and D-glucose aerosol nanoparticles, Atmospheric Chemistry and Physics, 23(8), 4763–4774, doi:10.5194/acp-23-4763-2023, 2023.

Hahad, O., Rajagopalan, S., Lelieveld, J., Sørensen, M., Frenis, K., Daiber, A., Basner, M., Nieuwenhuijsen, M., Brook, R. D. and Münzel, T.: Noise and Air Pollution as Risk Factors for Hypertension: Part I—Epidemiology, Hypertension, 80, 983–988, doi:10.1161/HYPERTENSIONAHA.122.18732, 2023.

Hahad, O., Rajagopalan, S., Lelieveld, J., Sørensen, M., Kuntic, M., Daiber, A., Basner, M., Nieuwenhuijsen, M., Brook, R. D. and Münzel, T.: Noise and Air Pollution as Risk Factors for Hypertension: Part II—Pathophysiologic Insight, Hypertension, 80, 1384–1392, doi:10.1161/HYPERTENSIONAHA.123.20617, 2023.

Shapiro, A. V., Brühl, C., Klingmüller, K., Steil, B., Shapiro, A. I., Witzke, V., Kostogryz, N., Gizon, L., Solanki , S. K. and Lelieveld, J.: Metal-rich stars are less suitable for the evolution of life on their planets, Nature Communications, 14, doi:10.1038/s41467-023-37195-4, 2023.

Peng, Y., Yuan, B., Yang, S., Wang, S., Yang, X., Wang, W., Li, J., Song, X., Wu, C., Qi, J., Zheng, E., Ye, C., Huang, S., Hu, W., Song, W., Wang, X., Wang, B. and Shao, M.: Photolysis frequency of nitrophenols derived from ambient measurements, Science of the Total Environment, 869, doi:10.1016/j.scitotenv.2023.161810, 2023.

Berkemeier, T., Krüger, M., Feinberg, A., Müller, M., Pöschl, U. and Krieger, U. K.: Accelerating models for multiphase chemical kinetics through machine learning with polynomial chaos expansion and neural networks, Geoscientific Model Development, 16(7), 2037–2054, doi:10.5194/gmd-16-2037-2023, 2023.

Wang, X., Gordon, H., Grosvenor, D. P., Andreae, M. O. and Carslaw, K. S.: Contribution of regional aerosol nucleation to low-level CCN in an Amazonian deep convective environment: results from a regionally nested global model, Atmospheric Chemistry and Physics, 23(7), 4431–4461, doi:10.5194/acp-23-4431-2023, 2023.