Kaspar R. Daellenbach

11.9k total citations
69 papers, 2.6k citations indexed

About

Kaspar R. Daellenbach is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Environmental Engineering. According to data from OpenAlex, Kaspar R. Daellenbach has authored 69 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Atmospheric Science, 57 papers in Health, Toxicology and Mutagenesis and 23 papers in Environmental Engineering. Recurrent topics in Kaspar R. Daellenbach's work include Atmospheric chemistry and aerosols (65 papers), Air Quality and Health Impacts (55 papers) and Atmospheric Ozone and Climate (24 papers). Kaspar R. Daellenbach is often cited by papers focused on Atmospheric chemistry and aerosols (65 papers), Air Quality and Health Impacts (55 papers) and Atmospheric Ozone and Climate (24 papers). Kaspar R. Daellenbach collaborates with scholars based in Switzerland, Finland and China. Kaspar R. Daellenbach's co-authors include Andrê S. H. Prévôt, Imad El Haddad, Urs Baltensperger, Jay G. Slowik, Carlo Bozzetti, Ru‐Jin Huang, Francesco Canonaco, Junji Cao, Jean‐Luc Jaffrezo and Markku Kulmala and has published in prestigious journals such as Nature Communications, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Kaspar R. Daellenbach

62 papers receiving 2.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kaspar R. Daellenbach Switzerland	29	2.2k	2.0k	779	654	400	69	2.6k
Quanfu He China	38	2.7k 1.2×	2.2k 1.1×	622 0.8×	736 1.1×	513 1.3×	60	3.1k
Chao Yan China	30	2.3k 1.0×	1.7k 0.9×	794 1.0×	817 1.2×	232 0.6×	120	2.7k
Robert M. Healy Canada	35	2.0k 0.9×	2.0k 1.0×	748 1.0×	643 1.0×	736 1.8×	74	2.7k
Ellis S. Robinson United States	27	2.0k 0.9×	1.6k 0.8×	760 1.0×	1.1k 1.6×	355 0.9×	72	2.8k
Haiyan Ni China	32	2.1k 0.9×	1.9k 1.0×	335 0.4×	685 1.0×	399 1.0×	81	2.5k
Ravi Kant Pathak Sweden	22	2.1k 1.0×	1.7k 0.8×	634 0.8×	760 1.2×	378 0.9×	43	2.4k
D. Sueper United States	27	2.6k 1.2×	1.7k 0.9×	593 0.8×	1.2k 1.8×	363 0.9×	46	2.8k
Jiumeng Liu China	27	3.4k 1.6×	2.5k 1.3×	530 0.7×	1.4k 2.1×	375 0.9×	71	3.8k
Ho‐Jin Lim South Korea	19	3.4k 1.5×	2.7k 1.3×	667 0.9×	1.3k 2.1×	659 1.6×	47	3.9k
Jing Zheng China	24	2.8k 1.3×	2.3k 1.2×	699 0.9×	1.3k 1.9×	535 1.3×	54	3.3k

Countries citing papers authored by Kaspar R. Daellenbach

Since Specialization

Citations

This map shows the geographic impact of Kaspar R. Daellenbach's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kaspar R. Daellenbach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaspar R. Daellenbach more than expected).

Fields of papers citing papers by Kaspar R. Daellenbach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaspar R. Daellenbach. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kaspar R. Daellenbach. The network helps show where Kaspar R. Daellenbach may publish in the future.

Co-authorship network of co-authors of Kaspar R. Daellenbach

This figure shows the co-authorship network connecting the top 25 collaborators of Kaspar R. Daellenbach. A scholar is included among the top collaborators of Kaspar R. Daellenbach based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kaspar R. Daellenbach. Kaspar R. Daellenbach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Paglione, Marco, Yufang Hao, Stefano Decesari, et al.. (2025). Unraveling Arctic submicron organic aerosol sources: a year-long study by H-NMR and AMS in Ny-Ålesund, Svalbard. Atmospheric chemistry and physics. 25(20). 12853–12874.

Daellenbach, Kaspar R., Jing Cai, Simo Hakala, et al.. (2024). Substantial contribution of transported emissions to organic aerosol in Beijing. Nature Geoscience. 17(8). 747–754. 9 indexed citations

Skiba, Alicja, Katarzyna Styszko, Anna Tobler, et al.. (2024). Source attribution of carbonaceous fraction of particulate matter in the urban atmosphere based on chemical and carbon isotope composition. Scientific Reports. 14(1). 2 indexed citations

Rusanen, Anton, Manousos Ioannis Manousakas, Jianhui Jiang, et al.. (2024). A novel probabilistic source apportionment approach: Bayesian auto-correlated matrix factorization. Atmospheric measurement techniques. 17(4). 1251–1277. 1 indexed citations

Daellenbach, Kaspar R., Manousos Ioannis Manousakas, Jianhui Jiang, et al.. (2023). Organic aerosol sources in the Milan metropolitan area – Receptor modelling based on field observations and air quality modelling. Atmospheric Environment. 307. 119799–119799. 6 indexed citations

Zhang, Yong, Jie Tian, Qiyuan Wang, et al.. (2023). High-time-resolution chemical composition and source apportionment of PM _2.5 in northern Chinese cities: implications for policy. Atmospheric chemistry and physics. 23(16). 9455–9471. 23 indexed citations

Cai, Jing, Kaspar R. Daellenbach, Cheng Wu, et al.. (2023). Characterization of offline analysis of particulate matter with FIGAERO-CIMS. Atmospheric measurement techniques. 16(5). 1147–1165. 14 indexed citations

Cai, Jing, Cheng Wu, Jiandong Wang, et al.. (2022). Influence of organic aerosol molecular composition on particle absorptive properties in autumn Beijing. Atmospheric chemistry and physics. 22(2). 1251–1269. 15 indexed citations

Daellenbach, Kaspar R., et al.. (2022). Singlet Oxygen Seasonality in Aqueous PM₁₀ is Driven by Biomass Burning and Anthropogenic Secondary Organic Aerosol. Environmental Science & Technology. 56(22). 15389–15397. 25 indexed citations

10.

Ma, Jialiang, Feixue Zheng, Wei Du, et al.. (2022). Nontarget Screening Exhibits a Seasonal Cycle of PM_2.5 Organic Aerosol Composition in Beijing. Environmental Science & Technology. 56(11). 7017–7028. 28 indexed citations

11.

Zhang, Jingwei, Chaofan Lian, Weigang Wang, et al.. (2022). Amplified role of potential HONO sources in O ₃ formation in North China Plain during autumn haze aggravating processes. Atmospheric chemistry and physics. 22(5). 3275–3302. 46 indexed citations

12.

Chen, Gang, Yulia Sosedova, Francesco Canonaco, et al.. (2021). Time-dependent source apportionment of submicron organic aerosol for a rural site in an alpine valley using a rolling positive matrix factorisation (PMF) window. Atmospheric chemistry and physics. 21(19). 15081–15101. 27 indexed citations

13.

Li, Haiyan, Matthieu Riva, Pekka Rantala, et al.. (2020). Terpenes and their oxidation products in the French Landes forest: insights from Vocus PTR-TOF measurements. Atmospheric chemistry and physics. 20(4). 1941–1959. 49 indexed citations

14.

Zhou, Ying, Lubna Dada, Yiliang Liu, et al.. (2020). Variation of size-segregated particle number concentrations in wintertime Beijing. Atmospheric chemistry and physics. 20(2). 1201–1216. 43 indexed citations

15.

Kontkanen, Jenni, Chenjuan Deng, Yueyun Fu, et al.. (2020). Size-resolved particle number emissions in Beijing determined from measured particle size distributions. Atmospheric chemistry and physics. 20(19). 11329–11348. 25 indexed citations

16.

Stefenelli, Giulia, Veronika Pospíšilová, Felipe D. Lopez‐Hilfiker, et al.. (2019). Organic aerosol source apportionment in Zurich using an extractive electrospray ionization time-of-flight mass spectrometer (EESI-TOF-MS) – Part 1: Biogenic influences and day–night chemistry in summer. Atmospheric chemistry and physics. 19(23). 14825–14848. 55 indexed citations

17.

Vlachou, Athanasia, Anna Tobler, Houssni Lamkaddam, et al.. (2019). Development of a versatile source apportionment analysis based on positive matrix factorization: a case study of the seasonal variation of organic aerosol sources in Estonia. Atmospheric chemistry and physics. 19(11). 7279–7295. 18 indexed citations

18.

Zhang, Yanlin, Imad El Haddad, Ru‐Jin Huang, et al.. (2018). Large contribution of fossil fuel derived secondary organic carbon to water soluble organic aerosols in winter haze in China. Atmospheric chemistry and physics. 18(6). 4005–4017. 55 indexed citations

19.

Daellenbach, Kaspar R., Imad El Haddad, Lassi Karvonen, et al.. (2018). Insights into organic-aerosol sources via a novel laser-desorption/ionization mass spectrometry technique applied to one year of PM ₁₀ samples from nine sites in central Europe. Atmospheric chemistry and physics. 18(3). 2155–2174. 7 indexed citations

20.

Elser, Miriam, Ru‐Jin Huang, Robert Wolf, et al.. (2016). New insights into PM _2.5 chemical composition and sources in two major cities in China during extreme haze events using aerosol mass spectrometry. Atmospheric chemistry and physics. 16(5). 3207–3225. 294 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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